industrial application of a capec pi method
TRANSCRIPT
INTENSIFICATION OF THE DADPM PROCESS INDUSTRIAL APPLICATION OF A CAPEC PI METHOD ANNE BENNEKER, A.G.J. VAN DER HAM, A.J. ZEEUW, B. DE WAELE, H. VAN DEN BERG
NOVEMBER 19TH 2014
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INTRODUCTION (1) DADPM PROCESS
Formation and isomerisation of
amines (FRI)
Neutralisation &First separation
(NFS)
DADPMwork up
Brinework up
DADPM
NaClWater
Aniline
HClFormaldehyde
NaOH
Aniline
Aniline
Aniline
Theoretical method Mathematical approach Modeling
Only applied on literature processes
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INTRODUCTION (2) CAPEC PI METHODOLOGY
Lutze, P., Woodley, J. & Gani, R., An Innovative Synthesis Methodology for Process Intensification 2011: DTU Chemical Engineering.
Apply PI methodology from CAPEC on an industrial scale, running process
To propose (an) improvement(s) on the production process of DADPM operated by Huntsman in the Netherlands
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INTRODUCTION (3) OBJECTIVES OF THIS PROJECT
A six-step workflow Several sub-algorithms and tools Knowledge base Model library
Phenomena based workflow New design
Unit-operation based workflow Existing process
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APPROACH OF INTENSIFICATION (1) CAPEC PI METHODOLOGY
Objective function & performance metric Constraints Logical, structural and operational
Identification and enhancement of tasks Modeling of PI options Quantitative selection of best option Based on objective function
APPROACH OF INTENSIFICATION (2) WORKFLOW
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Objective function:
Performance metric: Efficiency, energy consumption, operating costs, simplification, capital costs
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INTENSIFICATION OF THE DADPM PROCESS STEP 1: PROBLEM DEFINITION
min๐น๐น๐๐๐๐๐๐ = ๏ฟฝ๏ฟฝ๐๐๐ ๐ ๐๐๐๐๐๐๐๐๐๐ ,๐๐๏ฟฝฬ๏ฟฝ๐๐ ๐ ๐๐๐๐๐๐๐๐๐๐ ,๐๐ + ๏ฟฝ๐๐๐๐๐๐๐๐๐๐๐๐๐๐ ,๐๐๐ธ๐ธ๐๐ฬ + ๏ฟฝ๐๐๐ ๐ ๐๐๐ ๐ ๐ ๐ ๐๐๐๐๐๐ ,๐๐๐๐๐๐ฬ ๏ฟฝ /๏ฟฝฬ๏ฟฝ๐๐ท๐ท๐ท๐ท๐ท๐ท๐ท๐ท๐๐
Start of PI procedure
Objective function definition
Process and design scenario definition
Process and product specifications
Definition of performance metric
Definition of maturity of the
process
Translation into logical, structural and operational
constraints
Base case design available?
Step A2/B2
Calculation of objective function Knowledge and model base search Analysis of limitations and bottlenecks Mixture properties Reaction properties Operation windows
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STEP 2: ANALYSIS OF THE DADPM PROCESS (1) APPROACH
Base case available
Step A2
Mass and energy balances
Task and phenomena based
flowsheets
Identification of limtiations and
bottlenecks
Analysis of limitations and
bottlenecks
Linking of limitations and
bottlenecks outside unit operations
Step U2 or P3
Maturity of new design
Calculation of costs per section 96% material costs Material efficiency โ 100%
Several possible limitations Energy required for separations Large recycles in process
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STEP 2: ANALYSIS OF THE DADPM PROCESS (2) IDENTIFICATION OF LIMITATIONS AND BOTTLENECKS
94%
3% 1% 2%
FRI section
NFS section
MDA work-up
Brine work-up
0
5
10
15
20
25
30
35
40
Hot energy Cold energy
Ener
gy c
onsu
mpt
ion
(MW
) Brine work-up
MDA work-up
NFS section
FRI section
Formation and isomerisation of
amines (FRI)
Neutralisation &First separation
(NFS)
DADPMwork up
Brinework up
DADPM
NaClWater
Aniline
HClFormaldehyde
NaOH
Aniline
Aniline
Aniline
Brine work-up section has largest contribution to energy costs
First separation highly influences DADPM and brine work-up sections
NFS and brine to be intensified
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STEP 2: ANALYSIS OF THE DADPM PROCESS (3) IDENTIFICATION OF SECTIONS TO BE INTENSIFIED
96% 4%
Material costs (โฌ/hr)
FRI section
NFS section
MDA work-up
Brine work-up
Heuristic design approach
Enhancement of equilibrium in separation
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INTENSIFICATION OF THE NFS SECTION (1) APPROACH
Process to be intensified
From isomerisation Organic layer to MDA work-up
Aqueous layer to brine work-up
Neutralization using NaOH Plain vessel
Aqueous layer
Organic layer
Neutralization using NaOH Rotating vessel
Aqueous layer
Organic layer
Neutralization using NaOH Packed vessel
Organic layer
Aqueous layer
Neutralization using NaOH
Pervaporation membrane
Organic layer
Aqueous layer
Worst case: salts evenly distributed in organic an aqueous layer Best case: salts in equilibrium distribution between organic and aqueous
layer
Two mass balances Calculation of costs for DADPM and brine work up section
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INTENSIFICATION OF THE NFS SECTION (2) RESULTS
First separation scenario Indexed costs
DADPM section Indexed costs brine section
Base case 100 100
Worst case intensification 95 106
Best case intensification 89 82
0
500
1000
1500
2000
2500
3000
0 200 400 600 800 1000 1200 1400
Time (min)
NaCl
in d
adpm
laye
r (pp
m)
90ยฐC 95ยฐC
Selection of PI equipment from knowledge base Number of process options: 1.2*106 A maximum of 2 PI options per task is selected
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INTENSIFICATION OF BRINE WORK-UP (1) STEP 3: APPROACH
Task Possible PI options
DADPM extraction Base case, agitated cell extractor, centrifugal extractor
Brine stripping Base case
MeOH removal Base case, heat-integrated distillation, adsorptive distillation
Organic/aqueous separation
Base case, centrifugal phase separator, packed vessel
Step U2
Collection of potential
PI equipment
Medium or mature process
Pre-screening of potential PI equipment
Identification of sub-problems
Step U3
Reduction of # options Logical & structural Heuristics
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INTENSIFICATION OF BRINE WORK-UP (2) STEP 4: GENERATION OF FEASIBLE FLOWSHEET OPTIONS
Step U4
Retrieval of a superstructure
Determination of the number of process option
Screening by logical constraints
Screening by structural
constraints
Step U5
Process models using Aspen and Excel 27 options in total
Cost and energy calculations Sensitivity analysis and optimization
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INTENSIFICATION OF BRINE WORK-UP (3) STEP 5 & 6: SCREENING OF OPTIONS
Split
Base case
Agitated cell extractor
SplitCentrifugal extractor Base case Split Heat integrated distillation
Adsorption distillation
Base case Split Centrifugal phase separator
Packed vessel
Base case
MDA extraction Brine recovery Methanol recovery Organic/Aqueous separation
Split
Split
Only methanol recovery and organics/aqueous separation are intensified
Small difference with base case design
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INTENSIFICATION OF BRINE WORK-UP (4) STEP 6: OPTIMIZATION
Extractor (base case)
Stripping column (base case)
Heat-integrated distillation
Packed equilibrium vessel
Brine feed
Aniline
Extracted DADPM
Steam
Brines MeOH
Organic layer
Aqueous layer
Different level of modeling Errors and sensitivity
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INTENSIFICATION OF BRINE WORK-UP (5) RESULTS
Feed to brine section Indexed energy costs in brine work
Intensified brine Base case brine
1 Base case 95 100
2 Worst case scenario 100 106
3 Best case scenario 76 82
Intensification of first separation and brine work-up First separation reduces energy costs for DADPM (11%) and brine work
up (18%) Brine work-up intensification reduces costs by 5%
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INTENSIFICATION OF THE DADPM PROCESS RESULTS
Result of first separation
Indexed energy costs in brine work up Indexed energy costs
in DADPM work-up Intensified brine Base case brine
1 Base case 95 100 350
2 Worst case scenario 100 106 95
3 Best case scenario 76 82 89
Integrated way of PI on a complete process Systematic
Selection of the objective function is crucial for the success Large influence of user-input on the results of PI Focus on process tasks instead of unit-operations
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REVIEW ON CAPEC METHODOLOGY
Short-cut analysis before problem definition step Check if the unit equipment is operating at design specifications Reduce dependence on user-input A uniform, up-to-date knowledge base should be used Automate different sub-algorithms
All process models should be at the same level of detail An error analysis on the final process should be added Test sensitivity of the best options
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REVIEW ON CAPEC METHODOLOGY RECOMMENDATIONS
QUESTIONS AND DISCUSSION
THIS RESEARCH IS CURRENTLY UNDER REVIEW FOR PUBLICATION IN:
COMPUTERS AND CHEMICAL ENGINEERING JOURNAL