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Development of a Dense discrete phase model for 3D numerical simulation of coal combustion in an industrial
scale circulating fluidized bed boiler
Massoud Massoudi Farid, Hyo Jae Jeong, Jungho Hwang
2015.11.5
Department of Mechanical EngineeringYonsei University
Circulating Fluidized Beds in Korea
2
§ Korea South-East Power Co.- Co-firing (coal + biomass or waste), 10% - CFB boiler at Yeosu Power Plant
§ Korea Southern Power Co.- Co-firing (coal + biomass), 5%- Super Critical CFB boiler at Samcheok
Power Plant (under construction until 2015)
§ Korea East-West Power Co.- 100% Biomass, 30MW- CFB boiler at Donghae Power plant
Numerical methods for particle laden flows
Eulerian-Lagrangian
In Lagrangian frame
In Eulerian frame
It is suitable for Low volume fraction of solids since:
1) Solid Volume fraction was neglected.
2) particles interaction was neglected.
Eulerian-Eulerian
Discrete Phase Method(DPM)Multiphase Eulerian-Granular
Method(MEGM)
Disadvantages:1) It just shows general flow
behavior.2) It is not possible to model
particle surface reactions.3) We have to define lots of
phases to handle particle size distributions.
Eulerian-Lagrangian
In Eulerian frame
In Lagrangian frame
Dense Discrete Phase Method(DDPM)
Assumptions
1) Trajectory of a discrete phase particle is predicted by integrating the force balance equation of the particle on lagrangian reference of frame.
2) N.S equations are solved for fluid phases on Eulerian reference of frame. 3) For calculation of the particles interactions, first the position of the particles are mapped on the
Eulerian grid and the interactions are calculated on the Eulerian grid, then calculated interaction terms are mapped back on the particles positions.
Advantages:
1) It predicts more exact details of flow2) Size distribution is modeled in a
natural way in the Lagrangianformulation
4
v Zhang et al. analyzed cold flow at a 150MWe circulating fluidized bed (CFB) employing a3D unsteady Eulerian granular multiphase model. They presented the whole loop pressureprofile, solids volume fraction profiles and solids vertical velocity.
v Ref. : Zhang, et. al, “3D CFD simulation of hydrodynamics of a 150MWe circulating fluidized bed boiler”, ChemicalEngineering Journal, 2010, 162, 821–828.
5
Literature Review: Numerical simulation of CFB – 1
v Adamczyk et al. analyzed combustion at an industrial circulating fluidized bed (CFB) employing a 3D unsteady DDPM. They presented pressure drop, solids volume fraction profiles and temperature profile. However, no information about combustion products werepresented.
v Ref. : Adamczyk, et. al, “Modeling of particle transport and combustion phenomena in a large-scale circulatingfluidized bed boiler using a hybrid Euler–Lagrange approach”, Particuology, 2014.
6
Literature Review: Numerical simulation of CFB – 2
Boiler Geometry
Due to computational
barriersReal CFB
340 MWe CFB boiler located in Yeosu, Korea.
17 m
8m
1.16
m
1.05 m
Symmetry B.C
7
Simulated zone and mesh
Cal
cula
tion d
om
ain
UDF
Boundary condition and PSDBoundary and operating Conditions Size distribution (Rosin Rammler)
Coal
Min Diameter 1 mm
Max Diameter 16 mm
Mean Diameter 6.5 mm
Spread parameter 1.120114
Sand
Min Diameter 50 µm
Max Diameter 2000 µm
Mean Diameter 1000 µm
Spread parameter 1.98931
8
Hydrodynamic Boundary conditions
Primary air inlet 101 (kg/s)
Return leg inlet 0.361 (kg/s)
Secondary air inlet 54.2 (kg/s)
Outlet pressure -91.5 Pa
Wall B.CGas No Slip
Solid Reflect
Heat transfer Boundary Conditions
Primary air Temperature 482.15 K
Secondary air Temperature 498.15 K
Return Leg air Temperature 1073.15 K
Wall Temperature 632.15 K
Division wall Temperature 632.15 K
Wing wall tubesTemperature
1st Super heater 686.65 K
2nd Super heater 766.65 K
Gs(kg/s)Cyclone A Cyclone B
384 305
9
ResultsPressure drop and circulation rate:
10
ResultsSolid VOF:
H=1
H=3
H=6
H=10
H=15
H=20
H=35Walls X=0
11
ResultsGas Velocity:
H=1
H=3
H=6
H=10
H=15
H=20
H=35
X=0
H Averaged velocity0.4 6.18
3 5.4
6 5.21
10 5.11
20 5.1
35 4.71
12
Results
H=1
H=3
H=6
H=10
H=15
H=20
H=35
X=0
Temperature:
H Averaged Temperature0.4 1212.4453 1178.1976 1156.20510 1149.34320 1135.41135 1042.409
13
Results
H=1
H=3
H=6
H=10
H=15
H=20
H=35
X=0
O2 mole fraction:
HAveraged O2 mole fractio
n0.4 0.1168893 0.0791076 0.07750910 0.07147920 0.04450235 0.041857
14
Results
H=1
H=3
H=6
H=10
H=15
H=20
H=35
X=0
CO2 mole fraction:
HAveraged CO2 mole fr
actionz1=0.4 0.088602z2=3 0.110953z3=6 0.104716z4=10 0.110959z5=20 0.128557z6=35 0.130368
ResultsHeat Fluxes:
15
SH1
SH2
SH3
SH4
SH5
SH6
E1
SH7
SH8
SH9
SH10
SH11
E2
SH12
SH13
DW
2 Mega Watts
12.5 Mega Watts
6.3 Mega Watts
3.6 Mega Watts
5.7 Mega Watts
11 Mega Watts
35 Mega Watts
5.3 Mega Watts
17.8 Mega Watts
8.2 Mega Watts
9.9 Mega Watts
9.7 Mega Watts K
9.3 Mega Watts
12 Mega Watts
8.2 Mega Watts
10.7 Mega Watts
Furnace Walls 81 Mega Watts
Roof 9 Mega Watts
Total heat Fluxes:246 Mega WattsWhich is close to the measured value.
16
Conclusion
Numerical simulation of an industrial scale fluidized bed furnace was done using DDPM.
Pressure drop, Solid volume fraction contour, Temperature and species profiles and contours were displayed.
Details of heat fluxes were presented.
Pressure drop, temperature, O2 mole fraction, and heat fluxes were matched with measurements.
Thank you for your attention
Appendix
18
Discrete Phase Method(DPM)
Assumptions
1) Solid particles have low Volume fraction and they can not affect fluid motion. Hence Volume fraction is not considered in N.S equations.
2) There is no particles interaction.3) Trajectory of a discrete phase particle is predicted by
integrating the force balance equation of the particle.4) Coal particles interact directly only by gas phase via
drag force.5) Coal particles do not interact directly by sand phase.6) Coal particles transfer heat directly only to gas phase.
Eulerian-Lagrangian
In Lagrangian frame
In Eulerian frame
Particle forceBalance forSolid Phase
xp
ppD
p Fg
uuFt
u r+
-+-=
¶¶
rrr )(
)( 24Re18
2D
ppD
Cd
Fr
m=
Momentum of FluidPhase
)()()( otherDPM FFgpvvvt
rrrrrr++r+t×Ñ+-Ñ=r×Ñ+r
¶¶
Eulerian-Eulerian
In Eulerian frame
In Eulerian frame
Assumptions1) It is a multiphase flow method and N.S equations are solved for both phases.2) Solid and fluid phases are treated in the same way as interpenetrating continua.3) granular properties are added to solid phase by solving an additional equation for solids
fluctuating energy or granular temperature.4) There is no limitation for volume fraction. Hence effects of volume fraction should be
considered in N.S equations
Multiphase Eulerian-Granular Method(MEGM)
Multiphase Eulerian-Granular Method(MEGM)
÷øö
çèæ =ra×Ñ+ra¶¶
r0)()(1
gggggrg
vt
r÷øö
çèæ =ra×Ñ+ra¶¶
r0)()(1
sssssrs
vt
r
)(
)()(
gssg
ggggggggggg
vvK
gpvvvt
rr
rrrr
-+
ra+t×Ñ+Ña-=ra×Ñ+ra¶¶
)(
)()(
sggs
ssssssssssss
vvK
gppvvvt
rr
rrrr
-+
ra+t×Ñ+Ñ-Ña-=ra×Ñ+ra¶¶
Gas Equations Solid Equations
Continuity:
Momentum:
Continuity:
Momentum:
sg
ggggg
gggggggg
Q
Sqvt
phvh
t+
+×Ñ-Ñt+¶¶
a=ra×Ñ+ra¶¶ rrr :)()(
gs
sssss
ssssssss
Q
Sqvt
phvht
+
+×Ñ-Ñt+¶¶
a=ra×Ñ+ra¶¶ rrr :)()(
Energy: Energy:
a
Volume fractions
rr
r
vr
Reference density
Density
Velocity
The subscripts g and s refer to gas and solid
gr
sggs KK =
t)( ssp Q
Interphase momentum exchange coefficient
Stress-strain tensor
Solid pressure.
Gravity accelerationp Pressure shared by all phases
h
Enthalpy
qr
sggs QQ -=
Heat flux,, and S Source term
Intensity of heat exchange between the two phases
Multiphase Eulerian-Granular Method(MEGM)
Granular Temperature
Generation of energy by the solid stress tensor
Diffusion of energy or diffusive flux of granular energy
Unit tensor
Diffusion coefficient
Energy exchange between the two phasesCollisional dissipation of energy
gssssssssssss φkvIpvt ss
+g-QÑ×Ñ+Ñt+-=úûù
êëé Qra×Ñ+Qra¶¶
QQ )(:)()()(23 rr
The kinetic energy due to the random motion of particles is represented by the granular temperature
of the solid phase ( ). Utilizing the kinetic theory, the transport equation of the granular temperature takes the form:
sQ
sss vIp rÑt+- :)(
ssk QÑQ
I
skQ
sQg
sgsgs Kφ Q-= 3
Important features:
§ Coal and sand particles interact directly by gas phase via drag force.
§ Coal particles interact directly by sand phase via solid stress tensors of sand and coal, and ; respectively.
§ Coal and sand particles transfer heat directly by each other and gas phase.
§ In DDPM there is no restriction for the volume fraction of the discrete phase. so volume fraction of the discrete phase should be considered in the gas momentum equations. hence relation between volume fractions becomes .
coaltsandt
1=a+a+a coalsq
Interaction is calculated at grid level
Dense Discrete Phase Method(DDPM)
23
÷øö
çèæ =ra×Ñ+ra¶¶
r0)()(1
gggggrg
vt
r
licitDDPMgDDPMDDPMggg
gggggggg
SvvKg
pvvvt
,exp)(
)()(
+-++×Ñ
+Ñ-=×Ñ+¶¶
rrr
rrr
rat
arara
Gas Equations Solid Equations
Continuity:
Momentum:
Particle forceBalance forSolid Phase
24Re18
2D
ppD
Cd
Fr
m=
interact
)()( FF
gvvF
tv
xp
ppD
p rr++
rr-r
+-=¶¶
s
sineractionF t
r×Ñ-=
1
a
Volume fractions
rr
r
vr
Reference density
Density
Velocity
The subscripts g and p refer to gas and particles
gr
DDPMK
t
Interphase momentum exchange coefficient
Stress-strain tensor
Gravity acceleration
p Pressure Source term from particles
DDPMS
DF
Drag Force
m
viscosity
xF
External force
24
Dense Discrete Phase Method(DDPM)
Ivvv ssssTsssss
rrr×Ñ-+Ñ+Ñ= )
32()( mlamat
Granular Temperature
Generation of energy by the solid stress tensor
Diffusion of energy or diffusive flux of granular energy
Unit tensor
Diffusion coefficientCollisional dissipation of energy
ss sssssssssss kvIpvt QQ g-QÑ×Ñ+Ñt+-=úû
ùêëé Qra×Ñ+Qra¶¶ )(:)()()(
23 rr
For calculation of particles interactions we need to calculate solid Stress-strain tensor on EulerianGrid. This tensor is a function of the kinetic energy due to the random motion of particles which is
represented by the granular temperature of the solid phase ( ). Utilizing the kinetic theory,the transport equation of the granular temperature takes the form:
sQ
sss vIp rÑt+- :)(
ssk QÑQ
I
skQ
sQg Dense Discrete Phase Method(DDPM)
25
kinscolss ,, mmm +=
ss
ssssssscols egd ap
ram2/1
,0, )1(54
÷øö
çèæ Q
+=
ANSYS FLUENT extension (UDFs)
Steam outlet
UDF
There is a limit for maximum VOF in a cell equal to
0.63 % of cell volume
If VOF is over limit Redistribution of VOF to neighbor cells
Mass LossIf all neighbor cells are fullaand the number of iteration
per time step is low
3) Calculation of pressure drop along furnace based on mass of particles in each section4) Calculation of circulation rate5) Calculation of PSD at furnace outlet6) Non uniform boundary condition at inlet. The air mass flow rate at the bottom of at different sections has different values.
26
12
3
456
Reactions
After 10 seconds no combustion occurred( it took around 10 days)
Gas Phase Reactions Ar Er (J/kmol) m a b c
CH2.84O0.761 → 0.239CH4 + 0.761CO + 0.942H24.26×106 [1/s] 1.08×108 0 1 1 0
CH2.84O0.761 + 1.33O2 → CO2 + 1.42H2O 2.12×1012 [1/K/s] 2.03×107 0 1 1 0
CO +0.5O2 → CO22.239×1012 [(m3/kmol)0.75/s] 1.674×108 0 1 0.25 0.5 [H2O]
H2 + 0.5O2 → H2O 6.8×1015 [(m3/kmol)0.75/K-1/s] 1.67×108 -1 0.25 1.5 0
CO + H2O → CO2 + H2275 [(m3/kmol)0.5/s] 8.374×107 0 1 1 0
H2 + CO2 → CO + H2O 0.0265 [(m3/kmol)0.5/s] 3960 0 1 1 0
CH4 + 0.5O2 → CO + 2H24.4×1011[(m3/kmol)0.75/s] 1.25×108 0 0.5 1.25 0
CH4 + H2O → CO+ 3H28.7×107[(m3/kmol)0.5/s] 2.51×108 0 0.5 1 0
Solid Phase reactions Ar [kg/m2/sec/Pa0.5] Er(J/kmol)
C(s) + 0.5O2 →CO 0.052 6.1 x 107
C(s) + CO2 →2CO 0.0732 1.125 x 108
C(s) + H2O→CO + H2 0.0782 1.15 x 108
Governing Equations:
å=
-=×Ñ+¶¶ n
pqppqqqqqq mmv
t 1)()()( &&
rrara
å=
=n
11a
)())((
)()(
,,1
qvmqliftq
n
pqpqppqpqqppq
qqqqqqqqqqq
FFFvmvmvvK
gpvvvt
rrrr&
r&
rr
rrrr
+++-+-
++×Ñ+Ñ-=×Ñ+¶¶
å=
ratarara
Volume Fraction Equation
Continuity
Momentum of FluidPhase
lss
ssssssssss
ssk
vIpvt
fg
trara
+-QÑ×Ñ
+-Ñ+-=Q×Ñ+Q¶¶
QQ )(
:)()()( rr
GranularTemperature
)())((
)()(
,,1
svmslifts
N
lslsllslsslls
ssssssssssss
FFFvmvmvvK
gppvvvt
rrrr&
r&
rr
rrrr
+++-+-+
+×Ñ+Ñ-Ñ-=×Ñ+¶¶
å=
ratarara
Momentum of SolidPhase
Governing Equations:
aVolume Fraction r
Density vr
Velocity
m&
Mass transfer between Phases
p
Pressure
t
Phase Stress-Strain Tensor
gr
Gravitational accelerate
K
Interphase momentum exchange coefficient
Fr
External Body Force
liftFr
Lift Force
vmFr
Virtual Mass Force
sQ
Granular Temperature
Lift Force:
•Due to velocity gradients
•Important for large particles
)()(5.0 qpqpplift vvvF rrrr´Ñ´--= ar
Virtual Mass Force:
fff)()()(
Ñ×+¶
= qq v
dtdtd r
•Due to Relative acceleration of Phase p to the primary Phase q
÷÷ø
öççè
æ-=
dtvd
dtvd
F ppqqqpvm
rrr
ra5.0
•Important when secondary phase density is much smaller than
primary phase
Fluid-Solid exchange coefficient
65.2
43 --
= ls
lsllsdsl d
vvCK a
raa rr
Gidaspow model
[ ]687.0)Re(15.01Re
24sl
sldC a
a+=
l
lssls
vvdm
r rr-
=Re
s
lssl
sl
llssl d
vvd
Krr
-+
-=
ara
maa 75.1)1(150 2
For
For
8.0>la
8.0£la
Solid Pressure
•Due to using Maxwellian velocity distribution, granular tempera
ture appears
sssssssssss gep Q++Q= ,02)1(2 arra
sse
Coefficient of restitution for particle collision (around 0.9)
ssg ,0
Radial distribution function
Kinetic Term Collision Term
Radial distribution function
1
31
max,0 1
-
úúú
û
ù
êêê
ë
é
÷÷ø
öççè
æ-=
s
sgaa
•Governs the transition from compressible condition to incompr
essible condition•Is a correction factor to modify the probability of collisions in
dense beds
For one solid phase:
max,sa
Max Packing Volume fraction
Solid Shear Stresses:
Ivvv ssssTsssss
rrr×Ñ-+Ñ+Ñ= )
32()( mlamat
Gidaspow model
Stress-strain tensor for solid phase:
Shear viscosity=sm kinscols ,, mm +=
ss
ssssssscols egd ap
ram2/1
,0, )1(54
÷øö
çèæ Q
+=
sssssssssss
ssskins eg
egd
aaa
rm
2
,0,0
, )1(541
)1(9610
úûù
êëé ++
+Q
=
2/1
,0 )1(34
÷øö
çèæ Q
+=p
ra ssssssss egd
Bulk viscosity
=sl
Accounts for the resistance of the granular particles to compression and expansion
Granular Temperature
The collisional dissipation of energy
The generation of energy by the solid stress tensor
lss
ssssssssss
ssk
vIpvt
fg
trara
+-QÑ×Ñ
+-Ñ+-=Q×Ñ+Q¶¶
QQ )(
:)()()( rr
sss vIp r-Ñ+- :)( t
ssk QÑQ
The diffusion of energy
sQg
lsf
The energy exchange between phases
=Qsk
Diffusion Coefficient (Gidaspow model)
par
apr
ssssssss
sssssssss
sss
egd
egeg
d
Q+
+úûù
êëé ++
+Q
=
)1(2
)1(561
)1(348)(150
,02
2
,0,0
2/32,02 )1(12
ssss
ssss
dge
sQ
-=Q ar
pl
slsls K Q-= 3f
Boundary Conditions
||,0max,
36 sss
s
ss Ug
rrQ-= r
aafpt
Granular Boundary condition:
Liquid Phase:
Wall: No slip
Inlet: Velocity inlet
Outlet: Atmosphere Pressure
Solid Phase:
Wall: Partial slip:
Outlet: Atmosphere Pressure
23
02
max,||,||,0
max,
)1(34
36 sssw
s
sssss
s
ss geUUgq Q--×Q= r
aapr
aafp rr
[ ] hj
ijjjjii
i SuJhxTk
xpeu
x+÷÷
ø
öççè
æ+-
¶¶
¶¶
=+¶¶ å
''')( tr
xu
xu
xu ,Fg
xxpuu
x l
l
i
j
j
iijii
i
ij
iji
i ¶¶
-¶
¶+
¶¶
=++¶
¶+
¶¶
-=¶¶ mmtr
tr
32)]([)(
0)()( =¶¶
+¶¶ v
yu
xrrGoverning Equations-Gas phase
=×Ñ )( iYurr iit
tmi RY
ScD +Ñ+×Ñ ))(( ,
mrConservation of Fluid Mass
Conservation of momentum
Conservation of energy
Conservation of species
conduction
Diffusion –thermal(Dufour effect)
Viscous dissipation
Heatsource/Sink
Reaction termThe diffusive mass flux in turbulent
Body force (중력 제외)Shear force
40
Governing Equations-Gas phaseTurbulence model (Realizable k-ε) for SCGP
kMbkjk
t
ji
i
SYGGxk
xku
x+--++
úúû
ù
êêë
é
¶¶
÷÷ø
öççè
æ+
¶¶
=¶¶ re
smmr )(
eeeee
ene
erresmmre SGC
kC
kCSC
xxu
x bj
t
ji
i
+++
-+úúû
ù
êêë
é
¶¶
÷÷ø
öççè
æ+
¶¶
=¶¶
31
2
21)(
Turbulence model (Standard k-ε) for E-Gas
kMbkjk
t
ji
i
SYGGxk
xku
x+--++
úúû
ù
êêë
é
¶¶
÷÷ø
öççè
æ+
¶¶
=¶¶ re
smmr )(
eeeee
ereesmmre S
kCGCG
kC
xxu
x bkj
t
ji
i
+-++úúû
ù
êêë
é
¶¶
÷÷ø
öççè
æ+
¶¶
=¶¶ 2
231 )()(
Gk: represents the generation of turbulence kinetic energy due to the mean velocity gradientsGb: generation of turbulence kinetic energy due to buoyancyYM: contribution of the fluctuating dilatation in compressible turbulence to the overall dissipation rate σk and σε: turbulent Prandtl numbers for k and ε, respectively. Sk and Sε: user-defined source terms
• 유동의 와류, 회전, 곡률에 대해 높은 정확도를 가짐 (Manual, ANSYS FLUENT).→ 가스화기 축을 중심으로 와류 유동이 많은
SCGP의 해석에 유리
• 석탄 가스화기에 다양한 난류모델을 적용 후 결과비교를 통해 Standard k-ε 모델이 타당성과 해석시간 측면에서 가장 적절하다고 함1). (Silaenand Wang, International Journal of Heat andMass transfer 2010;53:2074-2091.).
• 과거문헌에 의하면 E-Gas에 Standard k-ε모델 적용결과 실제 운전결과와 유사한 결과를 얻음2),3).
Ref. :[2] Ma and Zitney. Computational Fluid Dynamic Modeling of Entrained-Flow Gasifiers with Improved Physical andChemical Submodels, Energy & Fuels, 2012;26;7195–7219.[3] Luan et al. Numerical analysis of gasification performance via finite-rate model in a cross-type two-stage gasifier,International Journal of Heat and Mass Transfer, 2013;57;558-566. 41
42
Governing Equations-Particle phase
xp
pxpD
p Fg
uuFdt
du+
-+-=
rrr )(
)(
24Re18
2D
ppD
Cd
Fr
m=
Particle motion equation
Drag force
Turbulent (stochastic) tracking model)(' tuuu +=
• 입자의 궤적에 순간적인 가스의 난류 변동 (u’ )을 포함.• 석탄 및 가스화게 주입과 연소로 인한 가스의 난류(선회)가 입자 거동에 주는 영향을 해석하기에 적합.
)θ(σε)( 44pRppfg
ppp
ppp TAh
dtdm
TThAdt
dTcm -++-= ¥
Conservation of energy for particle
hfg: latent heat of coal (J/kg)εp: particle emissivityσ: Stefan-Boltzmann constant (5.669×10-8 W/m2-K4)θR : radiation temperature (K).
43
Governing Equations-Radiation sub modelDiscrete Ordinates (DO) radiation model
ò ×++=+++×Ñp
WFp
sp
ss4
0
42 ')'()',(
4),()()( dsssrIETansrIaasI P
PPPrrrrrrr
s : path length (m) a : absorption coefficient of gas phaseap: equivalent absorption coefficient due to the presence of particulates n: refractive index σ: Stefan-Boltzmann constant (5.669×10-8 W/m2-K4)
σp: equivalent particle scattering factor I: radiation intensity (W/sr) EP: equivalent emissionT: local temperature (K) Φ: phase functionΩ': solid angle
)1)((0
,ps
I
ii
ieTa kee -
=
-= å
ε : emissivity of gas phaseaε,i : emissivity weighting factor for the ith fictitious gray gas the bracketed quantity is the ith fictitious gray gas emissivityκi: absorption coefficient of the ith gray gas (1/m) p: sum of the partial pressures of all absorbing gases (Pa)
Weighted Sum of Gray Gases Model (WSGGM)
sa )1ln( e-
-=
a: absorption coefficient of gas phase
Radiation heat source is included in the source term in the energy equation.
44
Coal Reaction sub modelEvaporation
)1ln( mcpp BkA
dtdm
+-= ¥r
mp: water droplet mass(kg)kc: mass transfer coefficient (m/s)
Devolatilization
dtdtRRRRmmf
tm tt
apow
v ))(exp()()1(
)(20 1220 11
0,,òò +-+=
--aa
Homogeneous reaction
[ ]),,,(,min PRmixrxn xxkRRR e= cbaRTEmrrxn CCCeTAR r
321)/(-=
Ap: droplet surface area (m2)ρ∞: density of bulk gas (kg/m3)
R1 and R2: competing rates that control the devolatilization over different temperature ranges.mv(t): volatilized mass at time t (kg)mp,0: initial coal particle mass (kg)
ma: ash content of coal (kg)fw,0: mass fraction of evaporating/boiling material
Rrxn: chemical reaction rate calculated by reaction kinetics Rmix: turbulence mixing rate k: function of turbulence kinetic energyε: dissipation rate of turbulence kinetic energyxR and xP : mole fractions of reactant xR and product xP
Ar: pre-exponential factor m: exponent of temperature Er: activation energy (J/kmol) R: universal gas constant (8314 J/kmol-K) C1 and C2 : molar concentrations of the first and second reactantsa and b: corresponding reaction orders with respect to the two reactants C3: concentration of a third speciesc: corresponding reaction order.
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Coal Reaction sub model
Heterogeneous reaction (Volume Reaction Model)
)1ln(1)1(/ xxePAdtdx RTEn
irrr ---= - yh
rkinr
rrkinnrp
p
RDDR
pAdt
dm
,,0
,0,
+-= h
x: carbon conversion of char particle ηr: effectiveness factor Ar: pre-exponential factor Ei: activation energy (J/kmol)
R: universal gas constant (8314 J/kmol-K) Pr: partial pressure of species i (Pa) Ψ: pore structure parametern: apparent reaction order.
Heterogeneous reaction (Random Pore Model)
ηr: effectiveness factor pn: bulk partial pressure of the gas phase (Pa)
D0,r: diffusion rate coefficient for reaction r (kg/m2/sec/Pa0.5)Rkin,r: kinetic rate of reaction r ( kg/m2/sec/Pa0.5)