dechlorination of 2,4,6-trichlorophenol on bimetallic pd

120
AN ABSTRACT OF THE THESIS OF Ming-Lei Wang for the degree of Master of Science in Chemical Engineering, presented on May 6. 1999. Title: Dechlorination of 2,4,6 - trichiorophenol on Bimetallic Pd/Fe Catalyst in a Magnetically Stabilized Fluidized Bed. Abstract approved: oran N. Jovanovic In this work, we investigated the chemical kinetics of the dechlorination of 2,4,6- trichlorophenol on the Pd/Fe catalyst. Four experiments, dechlorination of 2,4,6- trichlorophenol, 2,4-dichlorophenol, 2,6-dichlorophenol, and p-chlorophenol were run in a batch reactor. All factors that will effect the reaction kinetics including system pH, Pd/Fe interfacial area, and Pd/chlorine removal were controlled at the same conditions. The pseudo-first order rate with respect to the chlorinated hydrocarbon concentration is found to be the appropriate model. d(17C A) - (k1N)C A a = k* CAa dt da = k d an -- dt (2.11) (2.12) The possible path way for dechlorinating 2,4,6 - trichiorophenol to phenol was proposed. The rate equation for all compounds in this reaction were then developed as follows: d(1C * * 1) - (k1 + k )C,a dt 1 2 (2.13)

Upload: others

Post on 26-Jan-2022

10 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

AN ABSTRACT OF THE THESIS OF

Ming-Lei Wang for the degree of Master of Science in Chemical Engineeringpresented on May 6 1999 Title Dechlorination of 246 - trichiorophenol onBimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

Abstract approvedoran N Jovanovic

In this work we investigated the chemical kinetics of the dechlorination of 246-

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246-

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

run in a batch reactor All factors that will effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were controlled at the

same conditions

The pseudo-first order rate with respect to the chlorinated hydrocarbon concentration

is found to be the appropriate model

d(17CA) - (k1N)C

Aa = k CAa

dt

da= k d an--

dt

(211)

(212)

The possible path way for dechlorinating 246 - trichiorophenol to phenol was

proposed

The rate equation for all compounds in this reaction were then developed as follows

d(1C 1)- (k1 + k )Ca

dt 1 2 (213)

d(VC2) = (k +k4 )C2a - k 1 C1a

3dt (214)

d(VC

3 =k C3a-k C1 a dt 5 2 (215)

= k k C

dt 6 4a 3 2a (216)

d(VC5) = k C5a 2a - k

7 5 3adt (217)

417C ) 6 = -k C Aa k C a

6 7 5dt (218)

These rate equations were solved numerically and coupled with all the experimental

data to determine the reaction rate constants and deactivation rate constant

The other object of this work was to investigate the mass transfer phenomena in the

application of the PdFe catalyst for remediation of contaminated liquid in

Magnetically Stabilized Fluidized Bed Two experiments were made in the

Magnetically Stabilized Fluidized Bed The mathematical model for this reactor

system was developed and was solved by using finite difference method Four

parameters reaction rate constant k deactivation rate constant kd diffusion

coefficient De and mass transfer coefficient k1 were determined through an

optimization procedure

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

by

Ming-Lei Wang

A Thesis Submitted to

Oregon State University

In Partial Fulfillment of the requirements for the

degree of

Master of Science

Presented May 6 1999 Commencement June 1999

Master of Science thesis of Ming-Lei Wang presented May 6_ 1999

Approved

Major Professor ruse ting Chemical Engineering

Head of Department of Chemical Engineering

Dean of Graduate Scho

I understand that my thesis will become part of the permanent collection of OregonState University libraries My signature below authorizes release of my thesis to anyreader upon request

Ming-Lei Wang Autho

Redacted for privacy

Table of Contents

11 INTRODUCTION

2 BACKGROUND 4

21 Dechlorination Reaction Chemistry 4

211 Reaction Stoichiometry 4 212 Rate Equation for Dechlorination Chemical Kinetics on

Powder PdFe Catalyst 6

213 Determination of Reaction Rate Constants of Dechlorination of 246-trichlorophenol 9

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst 11

23 Magnetically Stabilized Fluidized Bed Technology 15

3 EQUIPMENT MATERIALS AND METHODS 20

31 Equipment 20

311 Batch Reactor 20 312 Alginate Bead Generator 20 313 MSFB Apparatus 23

32 Materials 23

321 Properties of Chlorophenols 23 322 PdFe Catalyst 26 323 Alginate 26 324 Surfactant 28

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 2: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

d(VC2) = (k +k4 )C2a - k 1 C1a

3dt (214)

d(VC

3 =k C3a-k C1 a dt 5 2 (215)

= k k C

dt 6 4a 3 2a (216)

d(VC5) = k C5a 2a - k

7 5 3adt (217)

417C ) 6 = -k C Aa k C a

6 7 5dt (218)

These rate equations were solved numerically and coupled with all the experimental

data to determine the reaction rate constants and deactivation rate constant

The other object of this work was to investigate the mass transfer phenomena in the

application of the PdFe catalyst for remediation of contaminated liquid in

Magnetically Stabilized Fluidized Bed Two experiments were made in the

Magnetically Stabilized Fluidized Bed The mathematical model for this reactor

system was developed and was solved by using finite difference method Four

parameters reaction rate constant k deactivation rate constant kd diffusion

coefficient De and mass transfer coefficient k1 were determined through an

optimization procedure

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

by

Ming-Lei Wang

A Thesis Submitted to

Oregon State University

In Partial Fulfillment of the requirements for the

degree of

Master of Science

Presented May 6 1999 Commencement June 1999

Master of Science thesis of Ming-Lei Wang presented May 6_ 1999

Approved

Major Professor ruse ting Chemical Engineering

Head of Department of Chemical Engineering

Dean of Graduate Scho

I understand that my thesis will become part of the permanent collection of OregonState University libraries My signature below authorizes release of my thesis to anyreader upon request

Ming-Lei Wang Autho

Redacted for privacy

Table of Contents

11 INTRODUCTION

2 BACKGROUND 4

21 Dechlorination Reaction Chemistry 4

211 Reaction Stoichiometry 4 212 Rate Equation for Dechlorination Chemical Kinetics on

Powder PdFe Catalyst 6

213 Determination of Reaction Rate Constants of Dechlorination of 246-trichlorophenol 9

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst 11

23 Magnetically Stabilized Fluidized Bed Technology 15

3 EQUIPMENT MATERIALS AND METHODS 20

31 Equipment 20

311 Batch Reactor 20 312 Alginate Bead Generator 20 313 MSFB Apparatus 23

32 Materials 23

321 Properties of Chlorophenols 23 322 PdFe Catalyst 26 323 Alginate 26 324 Surfactant 28

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 3: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

by

Ming-Lei Wang

A Thesis Submitted to

Oregon State University

In Partial Fulfillment of the requirements for the

degree of

Master of Science

Presented May 6 1999 Commencement June 1999

Master of Science thesis of Ming-Lei Wang presented May 6_ 1999

Approved

Major Professor ruse ting Chemical Engineering

Head of Department of Chemical Engineering

Dean of Graduate Scho

I understand that my thesis will become part of the permanent collection of OregonState University libraries My signature below authorizes release of my thesis to anyreader upon request

Ming-Lei Wang Autho

Redacted for privacy

Table of Contents

11 INTRODUCTION

2 BACKGROUND 4

21 Dechlorination Reaction Chemistry 4

211 Reaction Stoichiometry 4 212 Rate Equation for Dechlorination Chemical Kinetics on

Powder PdFe Catalyst 6

213 Determination of Reaction Rate Constants of Dechlorination of 246-trichlorophenol 9

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst 11

23 Magnetically Stabilized Fluidized Bed Technology 15

3 EQUIPMENT MATERIALS AND METHODS 20

31 Equipment 20

311 Batch Reactor 20 312 Alginate Bead Generator 20 313 MSFB Apparatus 23

32 Materials 23

321 Properties of Chlorophenols 23 322 PdFe Catalyst 26 323 Alginate 26 324 Surfactant 28

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 4: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Master of Science thesis of Ming-Lei Wang presented May 6_ 1999

Approved

Major Professor ruse ting Chemical Engineering

Head of Department of Chemical Engineering

Dean of Graduate Scho

I understand that my thesis will become part of the permanent collection of OregonState University libraries My signature below authorizes release of my thesis to anyreader upon request

Ming-Lei Wang Autho

Redacted for privacy

Table of Contents

11 INTRODUCTION

2 BACKGROUND 4

21 Dechlorination Reaction Chemistry 4

211 Reaction Stoichiometry 4 212 Rate Equation for Dechlorination Chemical Kinetics on

Powder PdFe Catalyst 6

213 Determination of Reaction Rate Constants of Dechlorination of 246-trichlorophenol 9

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst 11

23 Magnetically Stabilized Fluidized Bed Technology 15

3 EQUIPMENT MATERIALS AND METHODS 20

31 Equipment 20

311 Batch Reactor 20 312 Alginate Bead Generator 20 313 MSFB Apparatus 23

32 Materials 23

321 Properties of Chlorophenols 23 322 PdFe Catalyst 26 323 Alginate 26 324 Surfactant 28

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 5: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Table of Contents

11 INTRODUCTION

2 BACKGROUND 4

21 Dechlorination Reaction Chemistry 4

211 Reaction Stoichiometry 4 212 Rate Equation for Dechlorination Chemical Kinetics on

Powder PdFe Catalyst 6

213 Determination of Reaction Rate Constants of Dechlorination of 246-trichlorophenol 9

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst 11

23 Magnetically Stabilized Fluidized Bed Technology 15

3 EQUIPMENT MATERIALS AND METHODS 20

31 Equipment 20

311 Batch Reactor 20 312 Alginate Bead Generator 20 313 MSFB Apparatus 23

32 Materials 23

321 Properties of Chlorophenols 23 322 PdFe Catalyst 26 323 Alginate 26 324 Surfactant 28

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 6: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Table of Contents Continued

33 Methods 29

331 Preparation of PdFe Catalyst 29 332 Determination of the Concentration of Chlorophenols 29 333 Experimental Determinationof the Dechlorinnation rate

Constants 30 334 Dechlorination of the 246-trichlorophenol in the

Fluidized Bed Reactor 32

4 EXPERIMENTAL DATA 34

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst 34

411 Dechlorination of 246-trichlorophenol 34 412 Dechlorination of Dichlorophenol 36 413 Dechlorination of p-Chlorophenol 36

42 Dechlorination of 246-trichlorophenol in Fluidized Bed 40

5 RESULT AND DISCUSSION 44

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst 44

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads 56

6 CONCLUSIONS AND RECOMMENDATIONS 61

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 7: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Table of Contents Continued

61 Conclusion

62 Recommendations

REPERENCES

APPENDICES

61

66

67

70

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 8: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Figures

Figure pge

21 Multi-step dechlorination reaction on the PdFe catalyst 7

22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe 8

catalyst surface

23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst 10

24 MSFB dechlorination reaction reactor system 13

25 Illustration of effect of the magnetic field on fluidized particles in MSFB 17

31 Chemical kinetic apparatus 21

32 Alginate beads generator 22

33 MSFB apparatus 24

34 SEM Pictures a)Acid pretreated Fe particles b) Palladized Fe particles 27

35 Chromatogram of HPLC Analysis 31

36 Chromatogram of HPLC Analysis 31

41 Volume change in dechlorination of 246-TCP 35

42 Total mass balance in dechlorination of 246-TCP 35

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 9: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Figures Continued

Eigurt Page

43 Volume change in dechlorination of 24-DCP 37

44 Total mass balance in dechlorination of 24-DCP 37

45 Volume change in dechlorination of 26-DCP 38

46 Total mass balance in dechlorination of 26-DCP 38

47 Volume change in dechlorination of p-chlorophenol 39

48 Total mass balance in dechlorination of p-chlorophenol 39

49 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed without Applied Field 41

410 Dechlorination of 246-trichlorophenol with Entrapped PdFe Catalyst in Fluidized Bed with Applied Field 42

411 Comparsion of Dechlorination of 246-trichlorophenol in MSFB with and without Applied Field 43

51 Comparison of 246-trichlorophenol concentration in dechlorination of 246-TCP with model output 47

52 Comparison of 24-dichlorophenol concentration in dechlorination of 246-TCP with model output 47

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 10: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Figures Continued

Fig= Eag

53 Comparison of 26-dichlorophenol concentration in dechlorination of 246-TCP with model output 48

54 Comparison of p-chlorohenol concentration in dechlorination of 246-TCP with model output 48

55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output 49

56 Comparison of phenol concentration in dechlorination of 246-TCP with model output 49

57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output 50

58 Comparison of p-chlorophenol concentration in dechlorination of 24-DCP with model output 50

59 Comparison of o-chlorophenol concentration in dechlorination of 24-DCP with model output 51

510 Comparison of phenol concentration in dechlorination of 24-DCP with model output 51

511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output 52

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 11: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Figures Continued

Eigum Page

512 Comparison of o-chlorophenol concentration in dechlorination of 26-DCP with model output 52

513 Comparison of phenol concentration in dechlorination of 26-DCP with model output 53

514 Comparison of p-chlorophenol concentration in dechlorination of p-chlorophenol with model output 54

515 Comparison of phenol concentration in dechlorination of p-chlorophenol with model output 54

516 Applied dechlorination model for dechlorinationwithin PdFe catalyst entrapped alginate beads in MSFB 58

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 12: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Tables

Table Page

31 Physical Properties of Chlorophenols 25

51 Obtained values of rate constants and deactivation rate constant 55

52 Comparison of Values Without an Applied Field 59

53 Comparison of Values for an Applied Field 59

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 13: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Appendices

Appendix

A Derivation of dechlorination of 246-trichlorophenol in alginate beads with entrapped PdFe catalyst model 71

B HPLC analysisstandard curves for all chlorophenols and phenol 75

C Alginate bead production procedure 79

D MSFB flowrate calibration and field gradient 81

E Numerical solution for the partial differential equation for dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst 83

F FORTRAN program for solving reaction rate constants and deactivation rate constant 85

G FORTRAN program for solving dechlorination of 246-trichlorophenol on alginate bead entrapped PdFe catalyst mode1157 97

H Calculation of the Diffusivity of 246-trichlorophenol Into Water 102

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 14: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

List of Appendix Figures

Figure Page

B1 Standard curve for HPLC analysis of 246-TCP concentration 76

B2 Standard curve for HPLC analysis of 24-DCP concentration 76

B3 Standard curve for HPLC analysis of 26-DCP concentration 77

B4 Standard curve for HPLC analysis of p-chlorophenol concentration 77

B5 Standard curve for HPLC analysis of o-chlorophenol concentration 78

B6 Standard curve for HPLC analysis of phenol concentration 78

D1 Calibration curve for MSFB flowrate determination over full pumping range 81

D2 Linear portion of calibration curve for flowrate determination in the MSFB 82

D3 MSFB applied magnetic field gradient 82

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 15: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Nomenclature

Abd Total area in differential slice in alginate bead m2 bead

Agi Gel liquid area in differential slice of bead

A External bead surface areaunit bulk liquid volume m2m3

a Catalyst activity [-]

C1 Concentration of 246-trichlorophenol molm3

C2 Concentration of 24-dichlorophenol molm3

C3 Concentration of 26-dichlorophenol molm3

C4 Concentration of p-chlorophenol molm3

C5 Concentration of o-chlorophenol molm3

C6 Concentration of phenol molm3

CA Concentration of compound A molm3

CA0 Initial concentration of compound A molm3

Cb Bulk concentration molm3

Cbo Initial bulk concentration molm3

C1 Alginate bead liquid concentration molm3

CH Concentration of Ir in solution molm3

CH Concentration of H in solution (reactive intermediate) molm3

DAB Diffusivity of a solute A in water B m2s

De Diffusion coefficient for 246-trichlorophenol in alginate beads m2s

db Diameter of alginate bead m

F Sample extration rate m3s

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 16: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Nomenclature Continued

Fb Bouyancy force exerted on the particle N

Fd Drag force exerted on the particle N

Fg Gravitational force exerted on the particle N

[H +] Concentration of hydrogen ions in solution molesm3

H Magnetic field intensity Am

Liquid-solid mass transfer coefficient in MSFB ms

k Dchlorination reaction rate constant based on amount of catalyst m3kgeatalyst s

k Dchlorination reaction rate constant coupled with amount of catalyst m3s

kl Rreaction rate coefficient for dechlorinating 246TCP to 24DCP m3s

k2 Rreaction rate coefficient for dechlorinating 246TCP to 26DCP m3s

k3 Rreaction rate coefficient for dechlorinating 24TCP to p-CP m3s

k4 Rreaction rate coefficient for dechlorinating 24TCP to o-CP m3s

k5 Rreaction rate coefficient for dechlorinating 2 6TCP to o-CP m3s

k6 Rreaction rate coefficient for dechlorinating p-CP to phenol m3s

k7 Rreaction rate coefficient for dechlorinating o-CP to phenol m3s

kd Deactivation rate coefficient for H2 (g) passivation 1s

m (0 OH) Change of bed voidage with magnetic field intensity mA

n Deactivation order

r Bead radius mm

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 17: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

V

Nomenclature Continued

Re Reynolds number [ -]

Sc Schmidt number [-]

Sh Sherwood number H

t Time s

uo Liquid superficial velocity ms

Uint Liquid interstitial velocity ms

Volume of reactor liquid m3

Vo Initial volume of reactor liquid m3

Vbd Volume of alginate bead m3

Vbd Total volume of alginate bead in reactor m3

Vgi Volume of free liquid in bead m3

W Weight of catalyst Pd g

xwt Mass fraction of ferromagnetic powder in beads H

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 18: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

0

Nomenclature Continued

Greek symbols

E Reactor voidage in magnetically stabilized fluidized bed (H0) [-]

co Reactor voidage in conventional fluidized bed (H=0) [-]

Em Average bed voidage in the stabilized regime [-]

EP Average bed voidage in the random motion regime [-]

gi Liquid viscosity Pa-s

v1 Liquid kinematic viscosity m2s

p1 Liquid density kgm3

Fraction of gel solid within the alginate bead

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 19: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

Dechlorination of 246-trichlorophenol on Bimetallic PdFe Catalyst in a Magnetically Stabilized Fluidized Bed

CHAPTER 1

INTRODUCTION

Chlorinated phenols are commonly used in industry mainly as biocides

insecticides herbicides and wood preservatives They have been detected in water

soil and air (Passivirta et al 1988 Suntio et al 1988) because of the misuse

accidental spillage and improper disposal The effect of these compounds on the

environment are of great concern because of their toxicity resistance to degradation

and tendency to accumulate in human tissues They are included in the US

Environmental Protection Agency Priority Pollutant List and are carcinogenic

substances (Federal Register 1987)

Several technologies have been proposed for dechlorination of chlorinated

hydrocarbons in water and soil including biodegradation (Liu et al 1996) soil vapor

extraction (McCann et al 1994) and surfactant-enhanced washing (Abdul et al

1992) These technologies are not always appropriate solutions to a given pollution

problem and very often they have serious shortcomings The biodegradation

technology needs long degradation times for achieving acceptable results The soil

vapor extraction and surfactant-enhanced washing remove chlorinated hydrocarbon

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 20: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

2

from soil but generates large quantities of secondary wastes which must be again

properly addressed

Another useful technique which uses PdFe bimetal catalyst for the conversion

of chlorinated hydrocarbon into ordinary hydrocarbon has been recently reported

(Muftikian et al 1995 Grittini et al 1995 Graham and Jovanovic 1998) Several

technology studies have reporte excellent results for dechlorination of chlorinated

organics particularly chlorinated phenols (compounds such as p-chlorophenol

pentachlorophenol and PCBs) by using powder PdFe catalyst (Muftikian et al 1995

Grittini et al 1995 Graham and Jovanovic 1998) Further the kinetic of

dechlorination of p-chlorophenol on the powder PdFe catalyst was studied in an

engineering system Magnetically Stabilized Fluidized Bed (MSFB) capable of

delivering catalytic action under real environmental conditions (Graham 1998)

The MSFB is a traditional fluidized bed with the addition of a magnetic field It

is sought as an engineering plateform for delivering catalytic action of the PdFe

catalyst Active substances such as the PdFe catalyst are entrapped in fluidized

beads which are made of a crosslinked Na-alginate The advantage of the application

of the magnetic field is the enhancement of the mass transfer between the bulk liquid

and magnetically susceptible beads while aiding in the retention of beads within the

fluidized bed (Al-Mulhim 1995)

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 21: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

3

Though the kinetics of the dechlorination of a monochlorophenol (pshy

chlorophenol) on the PdFe catalyst have been extensively studied (Graham and

Jovanovic 1998) the dechlorination of multichlorinated chlorophenols on this

bimetal catalyst have not been investigated In this study 246-trichlorophenol is

chosen to be dechlorinated by using PdFe catalyst and the kinetics of this serial-

parallel dechlorination reaction is explored The second objective of this work is to

confirm the applicability of MSFB technology in the dechlorination of 246shy

trichlorophenol contaminated liquid

Chapter two of this thesis provides the supporting theory for the most

appropriate interpretation of the chemical reaction scheme including the proposed

mechanism and reaction rate equations The mathematical model for the reaction and

the mass transfer associated with the application of the entrapped PdFe catalyst is

also developed and the important characteristics of the MSFB are also incorporated

Chapter three describes the laboratory equipment materials and the methods used in

the experimental work Chapter four presents the experimental data and Chapter five

interprets these data The overall disscusion is related to the mathematical model

whose parameters are fitted to the experimental data Chapter six completes this work

with conclusion and recommendations Other details of the experimental method and

numerical approximations used in the modeling are provided in the appendices

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 22: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd

4

CHAPTER 2

BACKGROUND

21 Dechlorination Reaction Chemistry

211 Reaction Stoichiometry

Three types of chemical reactions are involved in the dechlorination reaction

process on the surface of the PdFe catalyst as reported by Graham and Jovanovic

(1998) The first are the various surface reactions These include the dissolution of

iron from the zero-valent state and the consumption of hydrogen ion on both the iron

and palladium surfaces as represented by Equation 21 to 23 The second are solution

reactions as described by Equation 24 and 25 The abundance of hydrogen fr is

controlled by its formation from the solution reactions and its removal by Fe to form

H2(g) or Pd to form the intermediate reactive hydrogen H The third type of

reaction is the actual reaction of chlorine removal step (Equation 26) The actual

mechanism of this reaction within reaction system used in this study is not known

Equation 26 represents probably several consequential reaction steps The electrons

produced in the iron dissolution reaction are used by the palladium surface to form

the highly reactive intermediate H which is used in the dechlorination reaction

Surface Reactions

Fedeg Fe2+ + 2e (21)

Fe

2H ++ 2e H2 (g) (22)

5

Pd

+ --gt H (23)

Solution Reactions

2H20 --gt 2H+ + 2011- (24)

2HC1 -4 2H+ + 2C1 (25)

Dechlorination Reaction

2H + R-Cl --gt R-H + HC1 (26)

Figure 21 shows this multi-step reaction process

Several other reactions can take place simultaneously in the reaction volume Of

particular interest are Fe2++201-1--gtFe(OH)2 (p1-16) Similarly the formation of

Fe(OH)3 can take place at even lower pH if oxygen is present in the system

Fe(OH)2 Fe(OH)3 and hydrogen bubbles (Equation 22) are formed on the

surface of the catalyst while the dechlorination reaction proceeds These reaction

products cover the PdFe intersurface where the dechlorination reaction takes place

This may result into deactivation of the PdFe catalyst Figure 22 shows this

deactivation mechanism The deactivation mechanism is dependent on the system pH

and dissolved 02 and can be controlled by adjusting pH in a deoxygenated

environment (Grahm and Jovanovic 1998)

6

212 Rate Equation for Dechlorination Chemical Kinetics on Powder PdFe Catalyst

The rate of dechlorination of chlorinated hydrocarbon (denoted as A) on powder

PdFe catalyst is related to the concentration of A and H and the amount of catalyst

W as shown in Equation 28 The form of this kinetics equation was found to be

adequate for the representation of the dechlorination reaction process by Graham and

Jovanovic (1998) The production of H at the surface of palladium as indicated in

the surface reaction was assumed to be constant at constant pH If pH is maintained at

constant value the concentration of H can be assumed constant and combined with

k to give k this can be further combined with the catalyst weight to give an overall

rate constant k

417C )A -k

W dt (28)

d(17C A) - (Wk)CA = k C

Adt (29)

Therefore k = k WC H (210)

7

OH

HC1

H+

OH Cl

Fe2+

Pd-islet

Reaction zone

Fe-substrate

Figure 21 Multi-step dechlorination reaction on the PdFe catalyst

8

Fe (OH)2-layer Pd-islet

0-4111111110

e

eee17rshy

tVtif e substra

H2 bubbles Pd-islet

e-substrate

Figure 22 Fe(OH)2 Fe(OH)3 and hydrogen bubble formation on the PdFe

catalyst surface

9

As described in section 221 Fe(OH)2 Fe(OH)3 and hydrogen bubbles form

on the surface of PdFe catalyst and may increase the resistance of the overall

dechlorination reaction process An activity term a thus is added into the rate

equation as shown in Equation 211 to accommodate for deactivation process This

term describes a decrease in catalyst activity by a loss of dechlorination sites

(Levenspiel 1996) The activity of the PdFe catalyst may be described by the

Equation 212 as an nth order expression

d(VCA - (icW)C a = k CAa

dt A (211)

=1E= kda n

dt (212)

However it was found by Graham and Jovanovic (1998) that a value of n=1

suitably represents the deactivation process

213 Determination of Reaction Rate Constants of Dechlorination of 246shytrichlorophenol

The reaction of dechlorination of 246-trichlorophenol on powder PdFe catalyst

is shown in Figure 23 as a multiple step reaction

10

(2) (4) 24- dichiorophenol p-chlorophenol

OH CI k3

OH CI ---s1

CI CIk4

CI OH OH

246-trichlorophenol CI k5 CI phenol

(1) (6)

26- dichiorophenol o-chlorophenol

(3) (5)

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

Phenol is the final product Intermediates such as 24- dichiorophenol 26shy

dichlorophenol p-chlorophenol and o-chlorophenol are formed and are

simultaneously dechlorinated by the catalyst Denote 246-trichlorophenol

24- dichiorophenol 26- dichiorophenol p-chlorophenol o-chlorophenol and

phenol as species 1 2 3 4 5 and 6 respectively Dechlorination rate equations

of all the compounds in this multiple reaction can be represented with the

kinetic form Equation 211 Therefor

d(VC1) - (k + k )C a

1 2 1dt (213)

dCVC2) -(k +k )C a-k C 1a

3 4 2dt (214)

11

d(VC3) k C2a-k C a 5 2 4dt (215)

4VC 4 k6 C4 a - k3C2 a

dt (216)

d(liC ) =k7Cca-k4C a-k C a 2 5 3dt (217)

d(VC6) k C

4a-k 7C5adt 6 (218)

initial condition for these differential equations are

at t=0

Ci=C10 (219)

C2=C3=C4=C5=C6=0 (220)

22 Modeling Dechlorination of 246-trichlorophenol in Alginate Beads With Entrapped PdFe Catalyst

Figure 24 schematically represents the MSFB dechlorination reactor system

The chlorinated organic is first convectively transported to the surface of the bead and

then it diffuses into the gel beads The dechlorination reaction and deactivation of

catalyst take place inside the beads The assumptions for this system are made as

12

follow

1 The PdFe catalyst is entrapped within the gel beads and not permitted into

the bulk liquid

2 The alginate gel beads are of equal size and are uniform spheres of radius

R

3 A constant effective diffusion coefficient De exists throughout the gel

beads Hence the tortuosity effect on the aqueous diffusion coefficient is

not changing from the surface of the alginate bead to the center This

assumption implies that alginate gel beads are homogeneously polymerized

or cross-linked

4 No reaction is occurring in the bulk of the liquid

5 The PdFe catalyst is homogeneously entrapped within the gel bead thus

ensuring a uniform reaction surface throughout the gel bead

6 The gel bead liquid is defined as a volume fraction of the total bead volume

The symbol 0 represents the fraction of bead occupied by gel andor

entrapped substance

7 The gel bead open area for diffusion is defined as a fraction 1-0 of the

total surface area and is dependent upon the fraction of bead surface

occupied by gel

Solenoid

a

Distributor -0

Holding Tank

Bead

Catalyst

Cb

Fluid Film

Figure 24 MSFB dechlorination reaction reactor system

14

A differential mass balance of any compound within the liquid phase in the

alginate bead is given by

dC (r t) I 2 Cikrt) 2 aCi(rtr= De

k Cl (r t)an

at r dr Vbd(1 -0)dr 2 (221)

The last term in Equation 221 represents the disappearance of the chlorinated organic

as discussed in section 212

The initial conditions of the bulk and bead liquid as well as the boundary

condition for the center of the bead respectively are

Bead Liquid C1(rt = 0) = C10 (222)

Bulk Liquid C b(t = o) = C (223)

aC 1 (r t) =0

At the center of the bead at all times dr r=0 (224)

15

The boundary condition at r =R for the alginate bead is

d C (r t)D e(1 0) = k1[Cb (t) C (R (225)

dr r=R

A mass balance on the bulk liquid concentration Cb(t) is related to the

diffusion at the outer boundary and is given by

dCb (t) Cl ( R (226)

The detail derivation of this model is shown in Appendix A

A similar model was used in the study of dechlorination of p-chlorophenol in

MSFB (Graham 1998) Graham also demonstrated that the plug flow model under

certain conditions can be equivalent to the CSTR model which is used in this study

23 Magnetically Stabilized Fluidized Bed Technology

Fluid-particle mass transfer in a fluidized bed is an important transport

phenomenon for the dechlorination reaction process investigated in this study

Particles in a conventional fluidized bed are subjected to three macroscopic forces

the gravitational force Fg the drag force Fd and the buoyancy force Fb As soon as the

drag force balances the other two forces the particles are fluidized

16

In a conventional fluidized bed with a given fluid and solid system the only

way to increase the mass transfer between particles and fluid is to increase the fluid

velocity However the bed will readily expand due to the increased fluid velocity

This cause the voidage e to increase when the fluid velocity is increased As a result

the fluid interstitial velocity(uint= u E ) which is the relative velocity between the

particles and fluid does not change since the voidage e and the fluid velocity u are

coupled and have opposite effects Therefor the mass transfer coefficient which

depends strongly on interstitial velocity uin will not change substantially

In MSFB however an additional force is created by applying the magnetic field

on particles containing ferromagnetic material The particles are magnetized in the

magnetic field This results in two types of forces acting on the fluidized particles the

interparticle forces and the magnetic force from the magnetic field The induced

partical-partical force tends to bring particles together which results in a decrease of

the bed voidage e The application of a non-uniform magnetic field creates an

additional magnetic force within the bed This new macroscopic force which is acting

on the particles has to be overcome by the drag force Hence the fluid velocity

through the bed has to be increased to compensate for this new force Consequently

in a MSFB we can increase the fluid velocity and still maintain low bed voidage This

means that the interstitial velocity can be increased as well as the mass transfer

coefficient Figure 25 illustrates the previous discussion

Mag field H = 0 H = H =H2 gtHl

Fb

Fd

mNA Fg

Figure 25 Illustration of effect of the magnetic field on fluidized particles in MSFB

18

Al-Mulhim (1995) presented the experimental result related to the enhancement

of the mass transfer coefficient in a MSFB He studied the mass transfer coefficient

for different fluid velocities and different magnetic field intensities A correlation

which can predict from the enhanced mass transfer coefficient in a MSEB in the

presence of a homogenous magnetic field was also provided

0054 r067 UodbSh = (227)

Mdeg67 n [e0

mxii1-112 033

k dalso Sh = (228)

DAB

0054 u0 sc067= (229)je mx1112

However the magnetic field applied to the MFSB system in this study was a

non-homogeneous magnetic field

The correlations used to determine the liquidsolid mass transfer coefficient in

ordinary fluidized bed are reported respectively by Coderc et al (1972) Fan et al

(1960) and Cussler (1984)

0054Sh= 2

Re Scdeg 3- (230)

19

Sh= 2 +151(1 s) Re Scdeg33 (231)

k1 = 20 + 06 Re Sco (232)

pluidbwith Re= (233)

11and Sc = (232) piDAB

kidbSh = (233)

DAB

20

CHAPTER 3

EQUIPMENT MATERIAL AND METHOD

31 Equipment

311 Batch Reactor

A PdFe catalyst in powder form (not entrapped in alginate beads) is used in a

batch reactor for the experimental measurement of the rate of dechlorination

reactions All reaction rate constants for the dechlorination of 246-trichlorophenol

were obtained in the reaction system which is illustrated in Figure 31 A variable

speed mixer was applied to continuously stir the solution and keep the catalyst

powder suspended In addition a pH controller a HC1 supply system and an N2

supply line were also applied for controlling the pH and maintenance of the

deoxygenated environment

312 Alginate Bead Generator

The alginate bead generator is shown in Figure 32 it consists of a pressurized

vessel extrusion needle air supply to the needle tip and a catch beaker filled with

calcium chloride The 15 [ww ] alginate solution was made before start to make

beads The solution is added to the pressurized vessel whereby it flows downward to

the tip of the needle The air supplied here allows for control of the particle size

through control of the shear force The bead drops into the catch beaker containing

10 [M] CaC12 The preparation of the 15 [ww ] alginate solution and PdFe

catalyst entrapment is described in further detail in Appendix C

Stirrer Speed Controller

Sampling port

Data Acquisition

pH Controller

Batch Reactor with PdFe Catalyst

Figure 31 Chemical kinetic apparatus

22

Na-Alginate +

Active Substance mixture

Air out

Figure 32 Alginate beads generator

23

313 MSFB Apparatus

The MSFB equipment used in this investigation is shown in Figure 33 The

reactor column is 45 [cm] in height with a 38 [cm] inner diameter (id) and 51 [cm]

outer diameter (od) The magnetic field is generated by wrapping copper wire (dwire

= 1 [mm]) around an acrylic tube The coil consists of three layers of copper wire

concentrically wrapped to varying heights which provides flexibility in generating a

gradient magnetic field A Masterflex peristaltic pump with tygon tubing recycles the

liquid throughout the bed An overflow box allows insertion of a pH probe to

monitor pH acid addition and sample taken during the experiment All liquid is

deoxygenated and an N2 inlet prevents air from reaching the fluid thus maintaining

deoxygenated conditions

32 Materials

321 Properties of Chlorophenols

246-trichlorophenol (purity 98) and 26-dichlorophenol (purity 99) were

obtained from Alfa Aesar Chemical Company 24-dichlorophenol (purity 99) and

2-chlorophenol (purity 99+) were obtained from Aldrich Chemical Company 4shy

Chlorophenol was obtained from Acros Organics (purity 99+) and phenol (purity

985) was obtained from Baker Chemical Company All of the chlorophenols are

solid at room temperature except 2-monochlorophenol which is a liquid The

physical properties of these chlorophenols are listed on Table 31

=Im =mm EN=NE

Sampling port

pH Controller

pH 580

Fluid-Bed Reactor with PdFe Catalyst

Figure 33 MSFB apparatus

Data Acquisition

25

Table 31 Physical Properties of Chlorophenols

Compound

Phenol

Chemical Formula

C6H60

Molecular Weight (gmol)

9411

Density

1071

Boiling Melting Point Point (degC at 760 mmHg) (degC at 760 mmHg)

182 43

Flash Point (degC)

79

Vapor Pressure (mmHg) (temperature)

p-chlorophenol 4-C1C6H4OH 12856 12651 21975 432-437 1211 1 (498 degC)

o-chlorophenol 2-C1C6H4OH 12856 12634 1749 9 639 1 (121 degC)

an24shy

dichlorophenol 24-C12C6H3OH 163 138 210 45 62 1 (765 degC)

26-dichlorophenol 26-C12C6H3OH 163 219-220 68-69 1 (595 degC)

246-trichlorophenol 246-C13C6H2OH 19745 149 246 695 1139

26

322 PdFe Catalyst

The iron powder used for the manufacturing of catalyst was obtained from

Aldrich Chemical Company in the size range of 5-8 [gm] The palladium was

obtained from Aldrich Chemical Company in the form of a salt hexachloropalladate

(K2PdC16) The iron powder was pretreated with a 6 [M] HC1 for five minutes and

rinsed with three 25 [ml] aliquots of deionized water The hexachloropalladate

(K2PdC16) was dissolved into deionized water before palladization process The iron

was then added to the hexachloropalladate solution and was mixed vigorously for 15

minutes The palladized iron was then rinsed with 50 [ml] of deionized water SEM

were taken which show acid treated iron particles prior to palladization as well as

after palladization when nano-size palladium islets can be easily identified (Figure

34ab) More details of the preparation of the PdFe catalyst are given in section

331

323 Alginate

Sodium alginate was donated by Kelco Company under the trademark name Keltone

HV (Keltone Product 1996) Keltone HV is derived from a giant brown kelp

Macrocystis pyrifera and consists of alternating D-mannuronic and L-guluronic acid

units When dissolved in distilled water a solution is prepared whose flow

characteristics are affected by shear rate polymer size temperature concentration in

27

0143400 FES

ittrA i051JErr OCCb) P15U0x 103 Y

Figure 34 Scanning electron microscopy pictures a) Acid pretreated Fe particles b) Palladized Fe particles

28

solution and the presence of miscible solvents For all experimental work in this

study a 15 [] solution of algin and 985 [] distilled water was prepared at room

temperature before any active substance was added for entrapment (Appendix C)

324 Surfactant

Since the solubility of 246-trichlorophenol in water is fairly low the surfactant

was used to increase the solubility of 246-trichlorophenol A study (Abdul et al

1990) of selection of surfactants for the removal of petroleum products from shallow

sandy aquifers has reported that three surfactants Witconol 1206 Witconol SN70

and Witconol SN90 have good potential for the effective in-situ washing of

petroleum products and hydrophobic organic contaminates from soil It was also

pointed out that Witconol SN70 which was chosen for this study has better

detergency and solubilization potential

Witconol SN70 an ethoxylated alcohol was obtained from Witco Corporation

It is a clear colorless liquid specific gravity (at 25degC) is 098 pH in water solution is

6 to 8 and average molecular weight(gmol) is 392 An 1(ww) solution of

Witconol SN70 in water is used in this study

29

33 Methods

331 Preparation of PdFe Catalyst

The production procedure for the preparation of the PdFe catalyst is described below

1 Weigh 60[g] iron powder rinse with 25[ml] of deionized water twice

2 Wash the iron powder with 25[ml] of 6[M] HCl for 5 minutes to remove surface

oxide layers then rinse with 25[ml] of deionized water three times

3 Weigh 0045[g] hexachloropalladate (K2PdC16) and dissolve it in 250[ml]

deionized water

4 Add the hexachloropalladate solution into the iron powder stir with glass stir rod

for 15 minutes This will give a 002-075[ww] palladium coverage The reaction

of forming palladium iron is as follows

Pd4++2Fedeg Pddeg+2Fe2+

The reaction is considered complete when the dark orange solution of

hexachloropalladate (K2PdC16) turns to a pale yellow

5 Rinse the palladium iron catalyst with 25[ml] deionized water three times

332 Determination of the Concentration of Chlorophenols

High-pressure liquid chromatography (HPLC) is used to determine the

concentration of chlorophenols in the reaction solution The HPLC contains a pump

to deliver the mobile phase a 20[ L] sample loop sample injector a LC-8 column

30

from Supelco with reverse phase silica gel packing and a Gilson UV detector set to a

wavelength 280[nm] Mobile phase which consists of 70[] acetic-acid methanol

solution (1 acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid

deionized water solution (1 acetic-acid 99 deionized water) is used for

determining the concentration of 246-trichlorophenol and 24-dichlorophenol

Mobile phase which consists of 55[] acetic-acid methanol solution (1 acetic-acid

99 HPLC grade methanol) and 45[] acetic-acid deionized water solution (1

acetic-acid 99 deionized water) is used for determining the concentration of 26shy

dichlorophenol 4-chlorophenol 2-chlorophenol and phenol The instrument is

calibrated using several known concentration of chlorophenols Peak areas were

checked for each chlorophenol and linear relationship between the concentration of

each compound and peak areas were obtained (Appendix B) Figure 35 and 36

illustrate the chromatogram of the HPLC analysis

333 Experimental Determinationof the Dechlorinnation Rate Constants

Experiment are performed in a batch reactor as described in section 311 Six

grams of PdFe catalyst are prepared as described in section 331 200[ml] solution of

known initial concentration of cholorphenol is added into the batch reactor and mixed

at 300[rpm] mixing rate

31

25E-02 Mobile phase7030 methanolH20

20E-02 Dechlorinating 246TCP

15E-02 24DCP 246TCP (Co=000377[M] )

10E-02

50E-03

00E+00 ij 111111 111 L111111111

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

25E-02 Mobile phase5545 methanolH20 Dechlorinating 246TCP20E-02 (Co=000377[M] )

15E-02 24DCP

o-CP 246TCP10E-02 phenol p-CP

26DCP50E-03

00E+00

0 100 200 300 400 500

Retention Time [sec]

Figure 35 Chromatogram of HPLC Analysis

32

The influence of the mass transfer resistance between the bulk liquid and

catalyst surface to the dechlorination reaction rate in the same reactor system has been

investigated (Graham 1998) A series of experiments were run over a range of

mixing speeds (100-350 [rpm]) until the dechlorination curve was no longer

dependent upon the impeller speed The results show that between 100 and 150

[rpm] significant increase in the rate was observed However as mixer speed

increased from 250-350 [rpm] little change was observed In this study the mixing

rate is set at 300[rpm] for all the experiment performed in this batch system to prevent

from this interference

In order to avoid the effect of the formation of iron hydroxide on the catalyst

surface all experiments were run under deoxygenated condition and controlled pH at

57 Samples are taken at appropriate time intervals and are centrifuged after being

taken out from the batch reactor The sample solution is separated from the catalyst

particles to prevent further reaction in the sample test tube before being analysis

Results of these experiments are presented in Chapter 4

334 Dechlorination of the 246-trichlorophenol in the Fluidized Bed Reactor

To illustrate the applicability of MSFB for these reaction processes

decloroination of 246-trichlorophenol are performed in a fluidized bed reactor with

and without external magnetic field Known initial concentration 246shy

33

trichlorophenol solution was added into the fluidized bed reactor system

0188[ww70] PdFe catalyst is prepared and alginate beads with this catalyst are

produced as described in Appendix C The beads are introduced into the reaction

column and the pump is set at desired flow rate The pH was monitored by a pH probe

integrated with the pH controller HCl acid is added for the control of the pH level at

57 during the experiment Samples are taken at desired time intervals from the

overflow box and analyzed in HPLC to determine the concentration of chlorophenols

Results of these experiments are described in Chapter 4

34

CHAPTER 4

EXPERIMENTAL DATA

41 Dechlorination of Chlorophenols with Powdered PdFe Catalyst

411 Dechlorination of 246-trichlorophenol

To determine the rate constants the experiment of dechlorinating 246shy

trichlorophenol was run in a batch reactor as described in Chapter 3 for one hour The

initial volume of the reactor fluid was 200 ml 37887ppm 246-TCP solution Six

grams of PdFe (0188 [w w ] Pd) catalyst is used in this experiment the pH was

controlled at 57 and the mixer was set at speed of 300 RPM Samples were saved for

HPLC analysis to determine the concentration of 246-trichlorophenol and 24shy

dichlorophenol by using mobile phase methanol to water ratio 70 to 30 and the

concentration of 26-dichlorophenol p-chlorophenol o-chlorophenol and phenol by

using mobile phase methanol to water ratio 55 to 45 The volume of the reactor

changed due to the addition of acid and samples extraction Figure 41 shows the

volume change of the reactor fluid versus reaction time

The concentration of 246TCP 24DCP 26DCP 4CP 2CP and phenol were

measured as the reaction proceeds in time Figure 42 shows the mass balance of

this reaction

35

202

200

198

196

194

192

190

0 10 20 30 40 50 60

Reaction time(min)

Figure 41 Volume change in dechlorination of 246-TCP

PclIFe(0188[ww]) powder catalyst 6g 0-- phenol00009 Initial reaction volume 200[ml] CI 2-CP

Initial concof 246TCP 00037[M] IN-- 4 CP

00007 Mixer 300 rpm X-----26-DCP

24-DCP 00005 0-- 246-TCP

total

00003

00001

-00001

reaction time (min)

Figure 42 Total mass balance in dechlorination of 246-TCP

36

412 Dechlorination of Dichlorophenol

As shown in figure 42 the concentration of the intermediates such as 24-DCP

26-DCP 4-CP and 2-CP during the reaction process are much lower than the

concentration of 246-TCP and phenol In order to obtain more resolute information

for determining the reaction rate constant k3 k4 k5 k6 and k7 two additional

experiments are performed The dechlorination of 24-DCP and 26-DCP are also

performed in the batch reactor under the same condition as dechlorination of 246shy

TCP Figures 43 to 46 show experimental data obtained in these reaction process

413 Dechlorination of p-Chlorophenol

The concentration level of p-chlorophenol in the dechlorination of 24shy

dichlorophenol reaction was still not high enough to ensure accurate determination of

the reaction rate constant k6 Another experiment dechlorination of p-chlorophenol is

performed under the same condition to determine the reaction rate constant for the

dechlorination of p-chlorophenol Figures 47 and 48 show the volume change and

the mass balance in this reaction respectively

37

215

210

205

200

195

190

0

00009

00007

00005

E

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 43 Volume change in dechlorination of 24-DCP

-0-- phenol ID-2-CP int-----4 CP

--X--- 24-DCP total

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml]

Ile III

pH 57 Mixer 300 rpm

t I III II

reaction time (min)

Figure 44 Total mass balance in dechlorination of 24-DCP

38

212 210 208 206 204 202 200

-198

196

194

0

00009

00007

00005

00003

00001

-00001

10 20 30 40 50 60

Reaction time(min)

Figure 45 Volume change in dechlorination of 26-DCP

-0-- phenol 0---- 2-CP --26-26-DCP

- deg--- - `

_ ----total

A G--------)4

PdfFe(0188[ww]) powder catalyst 6g

Initial reaction volume 200[ml] - Initial concof 26DCP 000361 Il 6 pH 57

FAL Mixer 300 ran 0

i in 1r1 ln All cr)

reaction time (min)

Figure 46 Total mass balance in dechlorination of 26-DCP

39

230

225

220

215

210

205

200

195

0 10 20 30 40 50 60

Reaction time(min)

Figure 47 Volume change in dechlorination of p-chlorophenol

-0 phenol 00009 II 4-CP

total 00007 i

PdfFe(0188[ww]) powder catalyst 6g 00005

O limp Initial reaction volume 200[ml] 1E me Initial concof p-CP 00036[M] pH 57

00003 Mixer 300 rpm

I00001

10 20 30 10 50-00001 I

reaction time (min) Figure 48 Total mass balance in dechlorination of pshy

chlorophenol

40

42 Dechlorination of 246-trichlorophenol in Fluidized Bed

The MSFB integrated with the catalyst entrapped alginate beads is shown as an

engineering plateform for delivering catalytic action of the PdFe catalyst One

advantage of the application of the magnetic field is the enhancement of the mass

transfer between the bulk liquid and magnetically susceptible beads while aiding in

the retention of beads within the fluidized bed To illustrate the applicability of MSFB

technology in the dechlorination of 246-trichlorophenol contaminated liquid two

experiment are performed in the MSFB system Figure 49 and 410 represent the

experimental data for without applying magnetic field and with applying the magnetic

field respectively Figure 411 shows the comparison of these tow run

41

00034

Interstitial Velocity 1074[cms]

00032

Reactor Volume 215[L]

0003 Mass of beads 145[g]

Percentage PdFe 1735

Bed Voidge 0751 00028 Particle diameter 20[mm]

00026 shy

00024

00022

0002

0 50 100 150 200 250 300

Reaction Time (min)

Figure 49 Dechlorination of 246- trichiorophenol with Entrapped

PdFe Catalyst in Fluidized Bed without Applied Field

42

00032

Interstitial Velocity 1581[cms]

0003

Reactor Volume 215[L]

Mass of beads 145[g]

Percentage PdFe 173500028 Bed Voidge 0751

Particle diameter 20[mm]

2 00026

79

0

00024

00022

0002 I I

0 50 100 150 200 250 300

Reaction Time (min)

Figure 410 Dechlorination of 246-trichlorophenol with

Entrapped PdFe Catalyst in Fluidized Bed with Applied Field

43

1

data wo field

data w field

095

Reactor Volume 215[L]

Mass of beads 145[g] _

Percentage PdFe 1735

Bed Voidge 0751

Particle diameter 20[mm]

Interstitial Velocity 1074[cnils]

ii075

Interstitial Velocity 1581[cms]

i ( I 107

0 50 100 150 200 250 300

Reaction Time (min)

Figure 411 Comparsion of Dechlorination of 246shy

trichlorophenol in MSFB with and without Applied Field

44

CHAPTER 5

RESULT AND DISCUSSION

51 Dechlorination of the 246-trichlorophenol on the PdFe Powdered Catalyst

The rate equations developed in section 222 (Equation 213 to 218) are

solved simultaneously by using finite difference numerical methods The reaction rate

constants and the deactivation rate constant of 246-trichlorophenol dechlorination

are determined The volume change due to the addition of acid and removal of

samples is also incorporated Notice that when samples are extracted not only the

volume of the reactor is changed but the mass of all the chemical species in the

reactor are changed as well One term is added in the rate equation to compensats this

mass balance effect as shown in Equation 51 to 56

1 - (k1 + k )C FC

dt 2 la 1 (51)

d(VC 2 - (k3 + k C FC)C2a - k

dt 4 1 la 2 (52)

(VC3) 3 k C k C FC

dt 5 3a 2 4a 3 (53)

d(VC4) C k3 C FC

6 4a 2a 4dt (54)

45

d(VC5) C5a-kk7

C a-k C a- FC

4 2 5 3 5dt (55)

d(VC6) = -k6 C4a - k 7 C FC

5a 6dt (56)

Initial condition for these differential equations are

at t=0

(57)C C10

C2=C3=C4=C5=C6=0 (58)

A Fortran program utilizing IMSL subroutines was written to solve the

differential equation and produce the model output bulk concentrations of all

chemical species An optimization routine UMCGF is also used to search for the

reaction rate constants and the deactivation rate constant until the objective function

Fobi as defined by Equation 57 reaches the minimum

Fob (C t)model C(tlexpt)2 (59)

The IMSL subroutines Fortran program for solving the reaction rate constants

and the deactivation rate constant are shown in Appendix F

46

The concentrations of every chemical component involved in the dechlorination

process are then plotted for comparison Figure 51 to 56 shows the experimental

data and the model fit for every specie involved in the dechlorination of 246shy

trichlorophenol including 246-trichlorophenol 24-dichlorophenol 26shy

dichlorophenol p-chlorophenol o-chlorophenol and phenol Figure 57 to 510

illustrates the experimental data and modelfit for the dechlorination of 24shy

dichlorophenol obtained in a separate experiment Figure 511 to 513 present the

dechlorination of 26-dichlorophenol and Figure 514 and 515 show the

dechlorination of p-chlorophenol all obtained in separate independent experiments

47

1

40E-03

35E-03 30E-03

PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 246TCP 00037[M] pH 57

model

data

O 25E-03 Mixer 300 rpm

AF4 20E-03 15E-03

10E-03 U 50E-04

00E+00

0 5 10 15 Reaction Tirrr(rnin)

Figure 51 Comparison of 246-trichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03 Mixer 300 rpm 20E-03

15E-03

10E-03

50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 52 Comparison of 24-dichlorophenol concentration in

dechlorination of 246-TCP with model output

48

40E-03 PdFe(0188 [w w]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model -(5 30E-03 Initial concof 246TCP 00037[M] data

pH 5725E-03

O Mixer 300 rpm tEl 20E-03

15E-03 10E-03

(-) 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 53 Comparison of 26-dichlorophenol concentration in

dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200 [ml] model Initial concof 246TCP 00037[M]30E -03 data pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 54 Comparison of p-chlorohenol concentration in

dechlorination of 246-TCP with model output

49

40E-03 PdFe(0188[ww]) powder catalyst 6g model35E-03 Initial reaction volume 200[ml]

data- Initial concof 246TCP 00037[M] 30E-03 pH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 55 Comparison of o-chlorophenol concentration in dechlorination of 246-TCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 Initial reaction volume 200[ml] model Initial concof 246TCP 00037[M]1 30E-03 datapH 57

25E-03 Mixer 300 rpmO

20E-03

t 15E-03

S 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 56 Comparison of phenol concentration in dechlorination

of 246-TCP with model output

50

40E-03 35E-03

E 30E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 24DCP 000357

model

data

o rl

25E-03

20E-03

pH 57 Mixer 300 rpm

t) 15E-03

10E-03

U 50E-04 00E+00

0 5 10 15 Reaction Time(min)

Figure 57 Comparison of 24-dichlorophenol concentration in dechlorination of 24-DCP with model output

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

25E-03 Mixer 300 rpm

20E-03

15E-03

10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 58 Comparison of p-chlorophenol concentration in

dechlorination of 24-DCP with model output

51

40E-03 PdFe(0188[ww]) powder catalyst 6g

35E-03 -Initial reaction volume 200[ml] model _Initial concof 24DCP 00035730E-03 datapH 57

c 25E-03 Mixer 300 rpmO

rd 20E-03 15E-03

10E-03

50E-04

00E+00

0 5 10 15

Reaction Time(min)

Figure 59 Comparison of o-chlorophenol concentration in

dechlorination of 24-DCP with model output

40E-03

35E-03 PclFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] model

30E-03 Initial concof 24DCP 000357 data

25E-03 pH 57 Mixer 300 rpm

20E-03

15E -03

10E-03

50E -04

00E+00

0 5 10 15

Reaction Time(min)

Figure 510 Comparison of phenol concentration in

dechlorination of 24-DCP with model output

52

40E-03

35E -03 model

5 30E -03 DataE` 25E-03 PdFe(0188[ww]) powder catalyst 6gO

20E-03 Initial reaction volume 200[ml] Initial concof 26DCP 000361

t 15E-03 pH 57 Mixer 300 rpmg 10E-03

50E-04

00E+00

0 5 10 15 Reaction Time(min)

Figure 511 Comparison of 26-dichlorophenol concentration in dechlorination of 26-DCP with model output

40E-03

i 35E-03 30E-03

25E-03 O

PdFe(0188[ww]) iowder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-Model Data

1-4 20E-03

t 15E-03

O 10E-03

C-) 50E-04

00E+00

0 5 10 15

Reaction Tine(min)

Figure 512 Comparison of o-chlorophenol concentration in

dechlorination of 26-DCP with model output

53

40E-03

35E-03

30E-03

25E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof 26DCP 000361 pH 57 Mixer 300 rpm

-g 20E-03

4aa)

o

15E-03

10E-03

50E-04

00E +00

0 5 10 15 Reaction Time(min)

Figure 513 Comparison of phenol concentration in

dechlorination of 26-DCP with model output

54

40E-03 PdFe(0188[ww]) powder catalyst 6g Model

35E -03 Initial reaction volume 200[ml] Data Initial concof p-CP 00036[M]30E-03 pH 57

25E-03 Mixer 300 rpmo 20E-03

79 15E-03

g 10E-03U

50E-04

00E+00

0 5 10 15 Reaction Tirne(min)

Figure 514 Comparison of p-chlorophenol concentration in

dechlorination of p-chlorophenol with model output

40E-03

35E-03

30E-03

25E-03 O

4rd 20E-03

4-40

g 15E-03

10E-03

PdFe(0188[ww]) powder catalyst 6g Initial reaction volume 200[ml] Initial concof p-CP 00036[M]

Model 50E-04 pH 57 Data

00E+00 Mixer 300 rpm

0 5 10 15 Reaction Tinie(iiii)

Figure 515 Comparison of phenol concentration in

dechlorination of p-chlorophenol with model output

55

The reaction rate constants kl to k7 and deactivation rate constant kd were

determined by minimization of the objective function using IMSL optimization

subroutine All experimental data available are used in this optimization process The

results are represented in Table 51

Table 51 Obtained values of rate constants and deactivation rate constant

Reaction Units Over All Optimized Indepently Determined Rate Values Values

Constants m3 skgcataiy 00273 NA

k2 m3 skgcataiy 000381 NA k3 m3 s-kgeataiy 00153 NA k m3 s-kgcawyst 00239 NA k5 m3 s-kgcatalyst 00571 NA k6 m3s-kgcataiy 00606 019 (Graham 1998)

m3s-kgcatalyst 00626 NA kd 1s 0000205 0000182 (Graham 1998)

The values of all of the rate constants are of the order magnitude of 10-2 except

for k2 which is 10-3 This represents that the dechlorination of 246-trichlorophenol to

24-dichlorophenol is the more preferred pathway than to 26-dichlorophenol Furthermore from dichlorophenol to monochlorophenol k5 which shows the rate of

dechlorinating 26-dichlorophenol to o-chlorophenol is slightly larger than the summation of k3 and k4 which is the rate of dechlorinating 24-dichlorophenol to oshy

chlorophenol and p-chlorophenol Dechlorination ratre of monochlorophenols (oshy

chlorophenol and p-chlorophenol) are almost of the same magnitude

The effect of pH on the deactivation rate of dechlorination reaction on the powder PdFe catalyst has been investigated (Graham 1998) A correlation was obtained as shown in Equation 510

56

kd = 0091 [Hdivide] [1s] (510)

The value of deactivation rate constant calculated from this correlation at pH 57 is

182x10-4 The value of kd obtained from model fitted in this study agrees well with

the value calculated from Equation 510

52 Dechlorination of 246-trichlorophenol on PdFe Catalyst in MSFB Entrapped in Alginate Beads

The experimental data for dechlorination of 246-trichlorophenol using PdFe

catalyst entrapped in alginate beads in MSFB were shown in section 42 The

mathematical model which describes the change of the 246-trichlorophenol

concentration due to the mass transfer from the bulk of the liquid to the surface of

beads diffusion through the alginate beads the dechlorination reaction and the

deactivation on the entrapped PdFe catalyst inside the beads was developed in

section 23 and used to fit the experimental data

d 2C 2 dC i(rt)aCl(r t) 1 t k- De Cl t)an dt dr2 r dr V (1-

bd (219)

IC

Bead Liquid C i(rt = 0) = C10 (222)

Bulk Liquid Ch (t = 0) = Cb0 (223)

57

BC

dC (r t)1 =0 dr

r = 0 r=0 (224)

r = R D(1 0)dCi(rt) = kiCb(t)Ci(Rt)] (220) ar

Mass balance of bulk liquid

dCb (t) 3 (1 E) r (t) (Rt)] (221)

dt R pound

The model is solved by using a finite difference numerical method Four

parameters k kd De and k in this model were determined by an optimization

subroutine Figure 516 shows the results of the modeling applied to two independent

experiments in the MSFB system The value of the parameters obtained from the

experiments are also shown in Table 52 and 53

58

1

Reactor Volume 215[L] Data wo field

U Data w fieldMass of beads 145[g] Model wo fieldPercentage PdFe 1735095 Model w field F

Bed Voidge 0751

Particle diameter 20[mm]

c) 09 U 0

085 Interstitial Velocity 1074[cms]

Uch)

ki = 238E-5[ms]

4674

73 08

075 Interstitial Velocity 1581[cms]

kl= 595E-5[ms]

I I I07

0 50 100 150 200 250 300

Reaction Time (min)

Figure 516 Applied dechlorination model for dechlorinationwithin

PdFe catalyst entrapped alginate beads in MSFB

59

Table 52 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcathh 298x1 0-2 311x10-2(Experiment)

kd 1s 205x10-4 205x10-4(Experiment) 182x10-4 (Graham1998)

De m2s 183x10-11 67x10-deg (Wilke-Chang 1955)

k1 35x10-5 NA

Table 53 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

m3s-kgcata 316x10 311x10-2(Experiment)

kd 1s 291x10-4 205x10-4(Experiment) 182x104 (Graham1998)

De m2s 268x10-ll 67x10-1deg (Wilke-Chang 1955)

k1 ms 473x105 NA

60

The value of the reaction rate constant k obtained from the model agrees well

with the value obtained from the experimental result of dechlorination on the powder

PdFe catalyst Also the value for deactivation rate constant shows good agreement

The result for the mass transfer coefficient shows the expected enhancement of about

35 above the value obtained in ordinary fluidized bed when the magnetic field is

applied

The diffusion coefficient however is of the magnitude of 10-11 The diffusion

coefficient in water for 246-trichlorophenol obtained by Wilke-Chang equation is

67x10-1deg[m2s] (Appendix H) One possible explanation for this small diffusion

coefficient value is the presence of surfactant Surfactant in aqueous solution can

form micelles which are macromolecules having hydrophobic interiors and

hydrophilic exteriors The affinity of the 246-trichlorophenol for the hydrophobic

interior of micelles can increase the solubility in water but the diffusivity is reduced

because of the large molecule size No experimental data are published for this or

similar system and no correlation is reported that can predict the diffusion coefficient

for this or similar system

61

CHAPTER 6

CONCLUSIONS AND RECOMMENDATIONS

61 Conclusions

In this work we investigated the chemical kinetics of the dechlorination of 246shy

trichlorophenol on the PdFe catalyst Four experiments dechlorination of 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol and p-chlorophenol were

performed in a batch reactor All factors that can effect the reaction kinetics including

system pH PdFe interfacial area and Pdchlorine removal were maintained

constant during experiment

The pseudo-first order rate kinetics with respect to the chlorinated hydrocarbon

concentration is found to be the most appropriate for modeling purpose

d(VCA) = (kW = k CAa

Aadt (211)

da n = d a dt (212)

The possible pathway for dechlorinating 246-trichlorophenol to phenol was

proposed

62

24-dichlorophenol p-chlorophenol

OH

k3 OH

CI

CI k4

CI OHk2 CI24 6- trichlorophenol CIk5 phenol

26-dichlorophenol o-chlorophenol

Figure 23 Illustration of dechlorination of 246-trichlorophenol on PdFe catalyst

The rate equations for all compounds involved in this reaction were developed as

follows

d(VC1) - (k

+ k

)C a

1dt 2 (213)

c117C ) 2 +k )Ca-k1 C a dt -(k3 4 L I (214)

d(VC )3 -k Ca-k C a

5 1dt (215)

d(VC )4

C4 a- k C2 a dt 3 (216)

63

d (VC5 -k7 ak C2a C3a

4dt

dl7C 6 --k CAa-k C a

6 7 5dt

initial condition for these differential equations are

at t=0

C]=C10

c2=c3=c4=C5=C6=0

(217)

(218)

(219)

(210)

These rate equations were solved numerically and fitted to all the experimental

data to determine the reaction rate constants and deactivation rate constant The result

is shown as follows

Table 51 Value of rate constants and deactivation rate constant from optimization

subroutine

Reaction Units Rate

Constants m3 s-kgeataiy

k2 m3 s-kgcataly

k3 m3s-kgcataly k4 m3s-kgcataly k5 m3 s-kgcataiyk6

3io-D-Scatalyst

k m3s-kgcatalyst

kd 1s

Over All Optimized Values

00273 000381 00153 00239 00571 00606 00626 0000205

Indepently Determined Values

NA NA NA NA NA

019 (Graham 1998) NA

0000182 (Graham 1998)

64

The second object in this work was to investigate the mass transfer phenomena

in the application of the PdFe catalyst for remediation of contaminated liquids in

MSFB Two experiments were performed in the MSFB The mathematical model for

this reactor system was developed in section 23 and was solved by using finite

difference method

dC l(r d C l(r t) 2 dC i(rt) k De CI(rt)an

at dr2 r V (219)

IC

Bead Liquid C 1(r t = 0) = (222)

Bulk Liquid Cb (t = o) = (223)

BC

dC (rt) =0

ar r = 0 r=0 (224)

aCi(R t) ki[cb(t)-Ci(Rt)]r = R De (1 0) (220)dr

Mass balance for bulk liquid

dCb(t) k (1- s) [cb(t)- Ci(Rt)1 (221)dt R

65

Four parameters reaction rate constant k for dechlorination of 246-trichlorophenol

deactivation rate constant kd diffusion coefficient De and mass transfer coefficient lc

were determined through the optimization process The results are shown in below

Table 51 Comparison of Values Without an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgcatal 298x10-2 311x10-2(Experiment)

kd 1s 205x104 205x104(Experiment) 182x104 (Graham1998)

De m2s 183x10-11 67x104deg (Wilke-Chang 1955)

35x10-5 NA

Table 52 Comparison of Values for an Applied Field

Parameter Units Optimized Indepently Determined Values Values

k m3s-kgeatal 316x1 0-2 311x10-2(Experiment)

kd 1s 291x10-4 205x104(Experiment) 182x104 (Graham1998)

D m2s 268x10-ll 67x104deg (Wilke-Chang 1955)

ms 473x10-5 NA

66

62 Recommendations

This study explored the kinetics of dechlorination of 246-trichlorophenol on PdFe

catalyst Other multichlorinated phenol such as pentachlorophenol(PCP) or PCBs can

be further investigated in the similar manner The results of this study can be

incorporated in the further studies

Moreover the effect of the presence of surfactant on diffusion coefficient andor

reaction rate constants can be further studied Different surfactant or different ratio of

surfactant to water in solution can be used Baohua Gu indicated that the presence of

surfactant and cosolvent will reduce the degradation rate of PCB by PdFe

catalyst(Baohua Gu 1997)

67

REFERENCES

Abdul AS and Gibson TL(1991) Laboratory Studies of Surfactant-Enhanced

Washing of Polychlorinated Biphenol from Sandy Material EnvironSci Technol 25

665-671

Abdul AS Gibson TL and Rai DN(1990) Selection of Surfactant for the

Removal of Petroleum Products from Shallow Sandy Aquifers Ground Water Vol 28

No 6 920-926

Abdul AS Gibson TL Ang CC Smith JC and Sobczynski RE(1992) In

Situ Surfactant Washing of Polychlorinated Biphenol and Oils from a Contaminated

Site Ground WaterVol 30 No 2 219-231

Al-Mulhim M (1995) Enhancement of Mass Transfer Coefficient in a

Magnetically Stabilized Liquid-Solid Fluidized Bed M S Thesis Oregon State

University (1995)

Bae H S Lee James M and Lee S T(1997) Biodegradation of the Mixture of

246-ttrichlorophenol 4-chlorophenol and Phenol by a Defined Mixed Culture J

Gen AppL Microbiol 43 97-103

Cheng I F Fernando Q and Korte N (1997) Electrochemical Dechlorination of

4-Chlorophenol to Phenol Environ Sci Technol 31 (4) 1074-1078

Federal Register 1987 Notice of the First Priority List of Hazardous Susbstances

That Will be the Subject of Toxicological Profiles Fed Regist 5212866-12874

68

Giordano ER and Weir MD (1991) Differential Equations A Modeling Approach

Addison-Wesley Publishing Company

Graham L J(1998) Dechlorination of p-Chlorophenol on Bimetallic PdFe Catalyst

in a Magnetically Stabilized Fluidized Bed Experiment and Theory PhD Thesis

Oregon

State University (1998)

Graham L J and Jovanovic G (1998) Dechlorination of p-Chlorophenol on a

PdFe Catalyst in a Magnetically Stabilized Fluidized Bed Implications for Sludge

and Liquid Remediation ISCRE Conference Los Angeles CA

Grittini C Malcomsen M Fernando Q and Korte N (1995) Rapid

Dechlorination of Polychlorinated Biphenyls on the Surface of a PdFe Bimetallic

System Environ Sci and Technol 29 (11) 2898-2900

Gu B Liang L Cameron P West 0 and Korte N (1997) Degradation of

Trichloroethylene (TCE) and Polychlorinated Biphenyl (PCB) by Fe and Fe-Pd

Bimetals in the Presence of a Surfactant and a Cosolvent Proceedings of the 1997

International Containment Technology Conference and Exhibition St Petersburg

FL

Juteau P Beaudet R McSween GLepine F and Bisaillon JG(1995) Study of

the Reductive Dechlorination of Pentachlorophenol by a Methanogenic Consortinm

Microbiol 41862-868

Levenspiel 0 (1996) The Chemical Reactor Omnibook Oregon State University

Book Stores OR

69

Liu Y Schwartz J and Cavallaro C L (1995) Catalytic Dechlorination of

Polychlorinated Biphenyls Environ Sci Technol 29 (3) 836-840

Liu S MKuoC E and HsuT B(1996) Reductive Dechlorination of

Chlorophenols and Pentachlorophenol in Anoxic Estuarine

SedimentsChemosphereVol32 No 7 pp 1287-1300

McCann M Boersma P Danko J and Guerriero M (1994) Remediation of a VOC-

Contaminated Superfund Site Using Soil Vapor Extraction Groundwater Extraction and

Treatment A Case Study Environmental Progress 13 (3) 209-213

Muftikian R Fernando Q and Korte N (1995) A Method for the Rapid

Dechlorination of Low Molecular Weight Chlorinated Hydrocarbons in Water Wat

Res 29 (10) 2434-2439

Passivirta J Knuutinen J Maatela P Paukku RSoikkeli J and Sarkka J(1988)

Chemosphere17 137-146

Shishido M and Toda M (1996) Simulation of Oxygen Concentration Profile in

Calcium Alginate Gel Beads Entrapping Microbes During Biological Phenol

Degradation Chemical Engineering Science 51 (6)

SuntioLR Shiu WY and Mackay D(1988) Chemosphere 17 11249-1290

Welty JR Wicks CE and Wilson RE(1984) Fundamentals of Momentum Heat

and Mass Transfer 3d Ed John Wiley and Sons NY

70

APPENDICES

71

APPENDIX A

DERIVATION OF DECHLORINATION OF 246-TRICHLOROPHENOL IN

ALGINATE BEADS WITH ENTRAPPED PdFe CATALYST MODEL

Cb(t)

A differential mass balance of any compound within the liquid phase in the alginate

bead is given by

k Vgl(C1(rt) C (rt)1) n AtA nlAtAgl v ukrtynAtt + At t 1 gi gl Vr+ Ar gl (A1)

where

aci (rt)n = De

ar (A2)

1

72

Vgi = Vbd (1 0) = 47rr2Ar(1- 0)

(A3)

Agi = Abd (1 0) = 47cr2 (1 )

(A4)

Insert Equation A2 A3 and A4 into Equation A1 the final differential equation

can be obtained shown as Equation A5

dC l(r t) ( d2C1 (r t) 2 dC (r t) k

De 1 c t)an at dr2 r vgl l(r

(A5)

The initial conditions of the bulk and bead liquid as well as the boundary condition

for the center of the bead respectively are

Bead Liquid C 1(r t = 0) = (A6)

Bulk Liquid Cb (t = o) = (A7)C120

dC (r t)1 =0

At the center of the bead at all times ar

r =0 (A8)

Assume there is no reaction and accumulation on boundary The boundary condition

at r =R for the alginate bead is obtained from

Mass diffused into beads = mass transferred from thin film which can be represents

73

as

nlAsi = n Abd (A9)

where

n1 = DeaCi(rt) Dr r=R (A10)

n= kifC b(t) Ci(rt)]

(A11)

Agi = Abd(1 0)

(A12)

Insert Equation A10 A11 and A12 into Equation A9 the boundary condition at r

= R can be expressed as

D e(1 0)dCI(Rt) kl[Cb(t) C1(Rt)] (A13)

A mass balance on the bulk liquid concentration Cb(t) is related to the diffusion at

the outer boundary and is given by

dCt (t) (A14)Vbr = Abdkl[Cb(t)Cl(Rt)Jd

where

Vbd = poundVr

(A15)

74

Abe = 47cR2

(A16)

4 Vbd = Id3

3 (A17)

3 3(1E) yrAbd =Vbe

R R (A18)

Insert Equation A15 and A18 into Equation A14 the mass balance on the bulk

liquid concentration can be obtained as

dCb(t) 3 (1E) r C(t) Ci(Rt)] (A18)

dt R e

75

APPENDIX B

HPLC ANALYSIS

STANDARD CURVES FOR ALL CHLOROPHENOLS AND PHENOL

Standard curves for absorbance vs concentration were determined for 246shy

trichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol A series of solutions with know concentrations of 246shy

tfichlorophenol 24-dichlorophenol 26-dichlorophenol o-chlorophenol pshy

chlorophenol and phenol were prepared in 1[ww] surfactant water solution and

thoroughly mixed These solutions were individually injected into the HPLC

Column Mobile phase which consists of 70[] acetic-acid methanol solution(1

acetic-acid 99 HPLC grade methanol) and 30[] acetic-acid deionized water

solution(1 acetic-acid 99 deionized water) is used for determining the

concentration of 246-trichlorophenol and 24-dichlorophenol and which consists of

55[] acetic-acid methanol solution(l acetic-acid 99 HPLC grade methanol) and

45[] acetic-acid deionized water solution(1 acetic-acid 99 deionized water) is

used for determining the concentration of 26-dichlorophenol 4-chlorophenol 2shy

chlorophenol and phenol Their respective absorbances were recorded by Visual

Designer software The solution concentration vs peak area of the absorbance

readings were plotted from Figures B1 to B6 respectively for use in determining

reaction concentrations

76

1000 y = 12488x

800 sz R2 = 0998

600 aS

E 400 aD

200 U

j0

01 02 03 04 05 06 07

Peak Area Figure B1 Standard curve for HPLC analysis of 246shy

TCP concentration

1000 y = 93789x

800 R2 = 09966

600

400

200

0

0 02 04 06 08 1

Peak Area Figure B2 Standard curve for HPLC analysis of 24-DCP

concentration

77

1000 y = 77943x

800 R2 = 09986

600

400

200

j0

0 02 04 06 08 1 12

Peak Area Figure B3 Standard curve for HPLC analysis of 26-DCP

concentration

120

100 y = 8531x

80 R2 = 1

60

40

20 _J0

0 002 004 006 008 01 012 014

Peak Area Figure B4 Standard curve for HPLC analysis of p-

c hlorophenol concentration

78

100 y = 70172x

80 R2 = 1

60

40

20

0

0 002 004 006 008 01 012 014

Peak Area Figure B5 Standard curve for HPLC analysis of oshy

chlorophenol concentration

500

y = 94325x400 R2 = 09996

300

200

100

0

0 01 02 03 04 05 06

Peak Area Figure B6 Standard curve for HPLC analysis of phenol

concentration

79

APPENDIX C

ALGINATE BEAD PRODUCTION PROCEDURE

The particles used in this study are composite particles consisting of sodium

alginate and PdFe catalyst powder The following instructions detail the

preparation of the 15 [ww ] sodium alginate solution mixed with PdFe catalyst

used to produce alginate gel beads The properties of the alginate and PdFe powder

are given in Table C-1

1 Weigh 3940 [g] of deionized water into a 600 [ml] beaker

2 Weigh 60 [g] of Keltone HV sodium alginate into a weighing cup

3 As deionized water is mixed slowly add alginate powder to the 600 [ml] beaker

4 Mix the solution for at least one hour to ensure a homogeneous solution The

mixer speed should be increased as the viscosity of the solution increases

5 As the solution continues to mix add 84 [g] of the freshly prepared PdFe

catalyst

80

6 Mix for 60 minutes to evenly distribute the PdFe catalyst within the alginate

solution

Table C-1 Alginate and PdFe Properties

Material Powder Size Density

[111n] [kgm3]

Alginate (Keltone HV) 18 159

PdFe 5-8 787

This solution is poured into a pressurized vessel and extruded into a calcium chloride

solution Air supplied to the tip of the nozzle and the amount of pressurization of the

vessel allows for control of bead size

The alginate bead is released into CaC12 solution where the alginate exchanges two

Na+ ions for a Ca2+ which immediately creates the protective skin of the particle

To ensure reproducible gel beads the particles are left in a 10 [M] CaC12 solution for

exactly 60 minutes to maintain a consistent extent of polymerization The reaction

between calcium ions and the alginate molecules is represented by the following

(Kelco Company 1998)

2Na(Alg)+Ca2+ 4-gt 2Ca(Alg)2 + 2Na+ (C1)

81

APPENDIX D

MSFB FLOWRATE CALIBRATION AND FIELD GRADIENT

To determine the flowrate within the MSFB for experimental work a series of

measurements were taken which measured the volume of water pumped through the

MSFB over a period of time vs the pressure drop given by the flow Figure D1

gives the plotted values A linear portion of the curve over the range of flowrates

used during experimental work can be seen in Figure D2

Flowrate Calibration With Pressure Drop

180

160 Ea

140

120

100

80

60 y = 5283Ln(x) + 988

40 R2 = 099

20

0 0 2 4 6 8 10 12 14 16 18

Pressure Drop (cm H2O)

Figure D1 Calibration curve for MSFB flowrate determination over full pumping

range

82

Flowrate Calibration With Pressure Drop Linear Range

180

160

140

120

100

80

y = 624x + 6330 R2 = 099

60

40

20

Flowrate

Linear (Flowrate)

0

0 2 4 6 8 10 12

Pressure Drop (cm H2O)

14 16 18

Figure D2 Linear portion of calibration curve for flowrate determination in the

MSFB

50

40

30

20

10

0

0 5 10 15 20

Field Intensity (mT)

Figure D3 MSFB applied magnetic field gradient

83

APPENDIX E

NUMERICAL SOLUTION FOR THE PARTIAL DIFFERENTIAL

EQUATION FOR DECHLORINATION OF 246-TRICHLOROPHENOL ON

ALGINATE BEAD ENTRAPPED PdFe CATALYST

Numerical approximation of the partial differential equations for 246shy

trichlorophenol diffusion through alginate beads with entraped PdFe catalyst and the

respective boundary conditions is described below

Bead Diffusion With Reaction Including External Mass Transfer Resistance

(Chapter 2 Equations 221-226)

aci(rt) ( a2Ci(rt) 2 aCi(rt) k Equation 221 -D + Cl (r t)an

at e r ar Var 2

IC1(1 +1 1)-2 C (IJ)+ C 1(1 1 J)+1) Ci(IJ)+(De At

2Ar

2 C( + 1 J J ) lc aAt( ci(1 +1J)+ ci(1J) (De At ) (E1)

Or 2V

with a = exp-kdt

aCi(Rt) ki[cb(t)ci(Rt)]Equation 225 De (1 dr

84

Ci(R +1 J) = Ci(R J)+ 1)(1 0) (Cb(I) CI(R -0) (E2)krAr

dC (t) 3 (1pound) rEquation 226 bi = rb(t) CI(Rt)]

d R

Cb(I +1) Cb(I) k At 3 (I 6 (C (E3) 1 b

aC i(rt)Equation 224 = finite

ar r=0

J) = + 1 J) (E4)

85

APPENDIX F

FORTRAN PROGRAM FOR SOLVING REACTION RATE CONSTANTS

AND DEACTIVATION RATE CONSTANT

C ksdthsfor

c data from exp15exp16exp17 and exp21

c find klk2k3k4k5k6k7kd

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=8)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C16(214)CMD16(12014)V1V2V3V4V5V6V7V8V9V10

C17(213)CMD17(12013)U1U2U3U4U5U6U7U8U9U10

C15(216)CMD15(12016)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

C21(212)CMD21(12012)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

TIME(21)

common CMD16CMD17CMD15CMD21

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS0050005005005

005005005005

XS810E0

C

DFPRED = 00000001

GRADTL = 5E-12

86

MAXFN = 0

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 8(1xE83) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

GRAD8(1xE93))

C

open(unit=5file=15ksddatstatus=new)

do 150 K=116

write(599)(CMD15((K-1)20+11)CMD15((K-1)20+12)

CMD15((K-1)20+13)CMD15((K-1)20+14)

CMD15((K-1)20+15)CMD15((K-1)20+16))

99 format(2xF1092xF1092xF1092xF1092xF1092xF109)

150 continue

close(unit=5)

open(unit=6file=16ksddatstatus=new)

do 250 K=116

write(6999)(CMD16((K-1)20+11)CMD16((K-1)20+12)

CMD16((K-1)20+13)CMD16((K-1)20+14))

999 format(3xF1093xF1093xF1093xF109)

250 continue

close(unit=6)

87

9999

350

open(unit=7file=17ksddatstatus=new)

do 350 K=116

write(79999)(CMD17((K-1)20+11)CMD17((K-1)20+12)

CMD17((K-1)20+13))

format(3xF1093xF1093xF109)

continue

close(unit=7)

66

450

open(unit=8file=21ksddatstatus=new)

do 450 K=116

write(866)(CMD21((K-1)20+11)CMD21((K-1)20+12))

format(3xF1093xF109)

continue

close(unit=8)

END

SUBROUTINE ROSBRK (N X

INTEGER N

F)

REAL X(N) F

INTEGER K

REAL C16(214)V1V2V3V4V5V6V7V8V9V10CMD16(12014)

C17(213)U1U2U3U4U5U6U7U8U9U10CMD17(12013)

C15(216)Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10CMD15(12016)

C21(212)Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10CMD21(12012)

EdT

common CMD16CMD17CMD15CMD21

CALL DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

88

40

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

d1=005

open (unit=5file=exp21datstatus=old)

read (5)((C21(ij)j=12)i=121)

close (unit=5)

CMD21(12)=C21(12)

CMD21(11)=00

do 40 1=1300

CMD21(I+12)=CMD21(I2)+dT((Z4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(-X(6)CMD21(I2)EXP(-X(8)(I-1)dT)

-CMD21(I2)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+z2)100000-Z10CMD21(I2)1000)

CMD21(I+11)=CMD21(I1)+dTHZ4((I-1)dT)3+

Z3((I-1)dT)2+

Z2(I-1)dT+Z1)1000)

(X(6)CMD21(12)EXP(-X(8)(I-1)c11)

-CMD21(I1)((3Z4((I-1)dT)2+2Z3(I-1)dT)

+Z2)100000-Z10CMD21(I1)1000)

continue

open (unit=2file=exp16datstatus=old)

read (2)((C16(ij)j=14)i=121)

close (unit=2)

CMD16(14)=C16(14)

CMD16(13)=00

89

CMD16(12)=00

CMD16(11)=00

do 10 1=1300

CMD16(I+14)=CMD16(I4)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(-(X(3)+X(4))CMD16(I4)EXP(-X(8)(I-1)dT)

-CMD16(I4)((3V4((I-1)dT)2+2V3(I-1)dT)

+V2)100000-V10CMD16(I4)1000)

CMD16(I+13)=CMD16(I3)+dTUV4((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(3)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(6)CMD16(13)EXP(-X(8)(I-1)d1)-CMD16(I3)

(0V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I3)1000)

CMD16(I+12)=CMD16(I2)+dT(074((I-1)dT)3+

V3((I-1)dT)2+

V2(I-1)dT+V1)1000)

(X(4)CMD16(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I2)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I2)1000)

CMD16(I+11)=CMD16(11)+dTNV4((I-1)dT)3+

V3((I-1)d1)2+

V2(I-1)dT+V1)1000)

(X(6)CMD16(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD16(I2)EXP(-X(8)(I-1)dT)-CMD16(I1)

((3V4((I-1)dT)2+2V3(I-1)dT)+V2)100000

-V10CMD16(I1)1000)

CONTINUE 10

90

open (unit=3file=exp17datstatus=old)

read (3)((C17(ij)j=13)i=121)

close (unit=3)

CMD17(13)=C17(13)

CMD17(12)=00

CMD17(11)=00

do 20 1=1300

CMD17(I+13)=CMD17(I3)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(-X(5)CMD17(I3)EXP(-X(8)(I-1)dT)-CMD17(I3)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I3)1000)

CMD17(I+12)=CMD17(12)+dTHU4((I-1)dT)3+

U3((I-1)dT)2+

U2(I-1)dT+U1)1000)

(X(5)CMD17(I3)EXP(-X(8)(I-1)dT)shy

+ X(7)CMD17(I2)EXP(-X(8)(I-1)dT)-CMD17(I2)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)100000

-U10CMD17(I2)1000)

CMD17(I+11)=CMD17(11)+dTMU4((I-1)dT)3+

U3((1-1)dT)2+

U2(I-1)dT+U1)1000)

(X(7)CMD17(12)EXP(-X(8)(I-1)dT)-CMD17(I1)

((3U4((I-1)dT)2+2U3(I-1)dT)+U2)10000

-U10CMD17(I1)1000)

CONTINUE 20

91

open (unit=4fi1e=exp15datstatus=old)

read (4)((C15(ij)j=16)i=121)

close (unit=4)

CMD15(16)=C15(16)

CMD15(15)=00

CMD15(14)=00

CMD15(13)=00

CMD15(12)=00

CMD15(11)=00

do 30 1=1300

CMD15(I+16)=CMD15(16)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(-(X(1)+X(2))CMD15(I6)EXP(-X(8)(I-1)dT)shy

CMD15(I6)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I6)1000)

CMD15(I+15)=CMD15(15)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(1)CMD15(I6)EXP(-X(8)(I-1)dT)

-(X(3)+X(4))CMD15(I5)EXP(-X(8)(I-1)dT)-CMD15(I5)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I5)1000)

CMD15(I+14)=CMD15(14)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(2)CMD15(I6)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)-CMD15(I4)

((3Y4((I-1)dT)2+2Y3(1-1)dT)+Y2)100000

92

30

-Y10CMD15(I4)1000)

CMD15(I+13)=CMD15(13)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(3)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(6)CMD15(I3)EXP(-X(8)(I-1)dT)-CMD15(I3)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I3)1000)

CMD15(I+12)=CMD15(I2)+dT((Y4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(4)CMD15(I5)EXP(-X(8)(I-1)dT)

-X(5)CMD15(I4)EXP(-X(8)(I-1)dT)

-X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I2)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)100000

-Y10CMD15(I2)1000)

CMD15(I+11)=CMD15(11)+dTHY4((I-1)dT)3+

Y3((I-1)dT)2+

Y2(I-1)dT+Y1)1000)

(X(6)CMD15(I3)EXP(-X(8)(I-1)dT)

+X(7)CMD15(I2)EXP(-X(8)(I-1)dT)-CMD15(I1)

((3Y4((I-1)dT)2+2Y3(I-1)dT)+Y2)10000

-Y10CMD15(I1)1000)

CONTINUE

w1=10

w2=10

w3=10

w4=10

w5=10

w6=10

93

w7=10

w8=10

w9=10

w10=100

w11=10

w12=10

w13=10

w14=10

w15=10

SUM=00

DO 50 K=116

E=w1(CMD16((K-1)20+14)-C16(K4))2+

w2(CMD16((K-1)20+13)-C16(K3))2+

w3(CMD16((K-1)20+12)-C16(K2))2+

w4(CMD16((K-1)20+11)-C16(K1))2+

w5(CMD17((K-1)20+11)-C17(K1))2+

w6(CMD17((K-1)20+12)-C17(K2))2+

w7(CMD17((K-1)20+13)-C17(K3))2+

w8(CMD15((K-1)20+16)-C15(K6))2+

w9(CMD15((K-1)20+15)-C15(K5))2+

w10(CMD15((K-1)20+14)-C15(K4))2+

w11(CMD15((K-1)20+13)-C15(K3))2+

w12(CMD15((K-1)20+12)-C15(K2))2+

w13(CMD15((K-1)20+11)-C15(K1))2+

w14(CMD21((K-1)20+12)-C21(K2))2+

w15(CMD21((K-1)20+11)-C21(K1))2

SUM=SUM+E

CONTINUE

F=SUM

50

94

print F

printk1=X(1) k2=X(2) k3=X(3) k4=X(4)

printk5=X(5) k6=X(6) k7=X(7) kd=X(8)

return

END

SUBROUTINE DATA(TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10)

real TIMEV1V2V3V4V5V6V7V8V9V10

U1U2U3U4U5U6U7U8U9U10

Y1Y2Y3Y4Y5Y6Y7Y8Y9Y10

Z1Z2Z3Z4Z5Z6Z7Z8Z9Z10

DIMENSION TIME(21)

TIME(1)=000

TIME(2)=100

TIME(3)=200

TIME(4)=300

TIME(5)=400

TIME(6)=500

TIME(7)=600

TIME(8)=700

TIME(9)=800

TIME(10)=900

TIME(11)=1000

TIME(12)=1100

95

TIME(13)=1200

TIME(14)=1300

TIME(15)=1400

TIME(16)=1500

TIME(17)=2000

TIME(18)=2500

TIME(19)=3000

TIME(20)=4000

TIME(21)=6000

U1=2000

U2=01821

U3=-00657

U4=00022

U5=1936

U6=00708

U7=00037

U8=02488

U9=-00021

U10=08

V1=20000

V2=-00391

V3=-00391

V4=00013

V5=19224

V6=01337

V7=00033

V8=02488

V9=-00021

V10=08

Y1=2000

Y2=-06229

Y3=00194

96

Y4=-00008

Y5=19164

Y6=-00012

Y7=00027

Y8=02378

Y9=-00015

Y10=08

Z1=2000

Z2=22439

Z3=-02629

Z4=00087

Z5=2000

Z6=02162

Z7=0003

Z8=02488

Z9=-00021

Z10=08

return

end

97

APPENDIX G

FORTRAN PROGRAM FOR SOLVING DECHLORINATION OF 246shy

TRICHLOROPHENOL ON ALGINATE BEAD ENTRAPPED PdFe

CATALYST MODEL

C exp29for

exp29 data

c dechlorination of 246-TCP in fluidized bed without applying

c field

klX(3) mass transfer coeff

c DeX(4) diffusion coeff

k X(1) reaction rate constant

kdX(2) deactivation constant

C

C DECLARATION OF VARIABLES

INTEGER NMJ

PARAMETER (N=4)

C

INTEGER I MAXFN NOUT

REAL DFPRED FVALUE G(N) GRADTL X(N)XGUESS(N) XS(N)

real C23(9)CMD23(12112)TIME(9)Kb

common CMD23

EXTERNAL ROSBRK UMACH UMCGF

C

DATA XGUESS000900100004001

+ XS410E0

C

DFPRED = 0000000001

GRADTL = 1E-12

MAXFN = 0

98

C MINIMIZE THE ROSBRK FUNCTION

CALL UMCGF (ROSBRK N XGUESS XS GRADTLMAXFN DFPRED

+ X G FVALUE)

C PRINT THE VALUE

CALL UMACH (2 NOUT)

WRITE (NOUT99999) (X(I) I=1 N) FVALUE (G(I)I=1N)

99999 FORMAT (SOL 4(1xE103) THE FUNCTION

+ EVALUATED AT THE SOLUTION IS 2XE103

+ GRAD4(1xE93))

CALL DATA(TIMEVLVbEpKbrO)

open(unit=5file=29ksddatstatus=new)

do 150 K=19

write(599)(CMD23((K-1)15+112))

99 format(2xE103)

150 continue

close(unit=5)

END

SUBROUTINE ROSBRK (N X F)

INTEGER N

REAL X(N) F

INTEGER ijh

REAL C23(9)CMD23(12112)dtdrKb

common CMD23

99

CALL DATA(TIMEVLVbEpKbrO)

dt=20

dr=001

open (unit=2file=exp29datstatus=old)

read (2)(C23(i)i=19)

close (unit=2)

CMD23(112)=C23(1)

CMD23(111)=C23(1)

do 10 i=110

CMD23(1i)=00

10 continue

do 20 j=2121

CMD23(j12)=CMD23(j-112)-dt((10-Ep)Ep)(30r0)X(3)100

+ (CMD23(j-112)-CMD23(j-111)Kb)

do 30 h=102-1

CMD23(jh)=CMD23(j-1h)+dt(20((h-1)dr)X(4)1000

(CMD23(j-1h+1)-CMD23(j-1h))dr+

X(4)1000(CMD23(j-1h+1)-20CMD23(j-1h)+

+ CmD23(j-1h-1))(dr2)-X(1)10000Vb(1-0186)

+ (CMD23(j-1h+1)

+ +CMD23(j -1h))

+ 20exp(-X(2)(j-1)dt))

30 continue

CMD23(j1)=CMD23(j2)

100

CMD23(j11)=(1(1dr+X(3)100(X(4)1000(1-0186))))

(X(3)100(X(4)1000(1-0186))CMD23(j12)+

CMD23(j10)dr)

20 continue

SUM=00

do 50 i=19

F=(CMD23((i-1)15+112)-C23(i))2

SUM=SUM+F

50 continue

F=SUM

print F

printk1=X(3) De=X(4)

printk=X(1) kd=X(2)

return

END

SUBROUTINE DATA(TIMEVLVbEpKbrO)

real TIMEVLVbEpKbr0

DIMENSION TIME(9)

TIME(1)=000

TIME(2)=3000

TIME(3)=6000

TIME(4)=9000

101

TIME(5)=12000

TIME(6)=15000

TIME(7)=18000

TIME(8)=21000

TIME(9)=24000

VL=21000

Vb=1100

Ep=VL(VL+Vb)

Kb=10

r0=01

return

end

102

APPENDIX H

Calculation of the Diffusivity of 246-trichlorophenol Into Water

Wilke-Chang (1955) equation is used for calculatio the diffusion coefficient of 246shy

trichlorophenol in water The equation is

T 4x10-8 1 ( 1 3 BM B DAB =--- (H1)

VAdeg 6microB

where

is the association factor for water 226

MB is the molecular weight of water 18 [gmol]

T= 293[K]

CD B

143 is the viscosity of water 0993 [cp]

VA is the molar volume of 246-trichlorophenol 1571 [cm3mol]

Substituting above values into Equation H1 yields

DAB=67x10-1deg[m2s]

Page 23: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 24: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 25: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 26: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 27: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 28: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 29: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 30: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 31: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 32: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 33: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 34: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 35: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 36: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 37: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 38: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 39: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 40: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 41: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 42: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 43: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 44: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 45: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 46: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 47: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 48: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 49: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 50: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 51: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 52: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 53: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 54: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 55: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 56: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 57: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 58: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 59: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 60: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 61: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 62: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 63: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 64: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 65: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 66: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 67: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 68: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 69: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 70: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 71: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 72: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 73: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 74: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 75: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 76: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 77: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 78: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 79: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 80: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 81: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 82: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 83: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 84: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 85: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 86: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 87: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 88: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 89: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 90: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 91: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 92: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 93: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 94: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 95: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 96: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 97: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 98: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 99: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 100: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 101: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 102: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 103: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 104: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 105: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 106: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 107: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 108: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 109: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 110: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 111: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 112: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 113: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 114: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 115: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 116: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 117: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 118: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 119: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd
Page 120: Dechlorination of 2,4,6-trichlorophenol on Bimetallic Pd