Modeling of a pilot installation for the
CO
2-reactive absorption with amine solvent for
power plant flue gases
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Global warming context February 1993
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Table of content
1. Introduction 2. Objectives 3. Modeling basis 4. Model description 5. Simulation results 6. Process improvementsDiploma thesis presentation
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1. Introduction
• Importance of coal for electricity generation in the near-future
• Environmental concerns => Energy efficiency
=> biomass
=> Carbon Capture and Storage (CCS)
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1. Introduction
CO2-Capture
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1. Introduction
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2. Objectives
Background: Pilot installation
• Post-combustion capture for an existing coal-fired power-plant
• 5000 Nm³ flue gas per hour / 1 ton CO2 per hour
• Two operation trains
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2. Objectives Objectives:
• Development of a simulation model for the pilot capture installation
• Identification of clue parameters
• Optimization of the developed model • Simulation of process improvements
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3. Modeling basis
Thermodynamical equilibrium model
=> No mass transfer limitations => No reaction kinetics limitations
In the practice:
• mass transfer limitations occur
• packing efficiency can be calculated • packing efficiency reaches about 15 %
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3. Modeling basis
Reaction kinetics with MEA
• Pseudo-first order reaction with fast kinetics • Reaction only occurs in the liquid film
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4. Model description
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4. Model description
Model main characteristics • Flue gas flow: 2500 Nm³/h
• 90% CO2-recovery rate
• captured CO2: 566 kg/h
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5. Simulation results
Optimization of the base case
• 5.1 Lean solvent flow
• 5.2 Lean solvent concentration
• 5.3 Lean solvent inlet temperature in the absorber • 5.4 Stripper pressure
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5. Simulation results
5.1 Optimization of the lean solvent flow
3,50 3,70 3,90 4,10 4,30 4,50 10,50 11,50 12,50 13,50 14,50 15,50 Lean solvent massflow (m³/h)
T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50,00 60,00 70,00 80,00 90,00 100,00 C O 2 -R e c o v e ry ( % )
4 absorber stages 3 absorber stages CO2-Recovery
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5. Simulation results
3 contributions to the thermal energy consumption : • Solvent heating-up • Desorption enthalpy • Stripping steam Stripping Heating-up 3,50 3,70 3,90 4,10 4,30 4,50 10,50 11,50 12,50 13,50 14,50 15,50
Lean solvent massflow (m³/h)
T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 )
4 absorber stages 3 absorber stages
Stripping Heating-up
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5. Simulation results
5.2 Optimization of the lean solvent concentration
3,20 3,40 3,60 3,80 4,00 4,20 0,27 0,29 0,31 0,33 0,35 0,37 M EA-LEAN concentration (wt-%) T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100 C O 2 R e c o v e ry ( % )
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5. Simulation results
5.3 Optimization of the lean-solvent inlet temperature in the absorber 3,50 3,70 3,90 4,10 4,30 4,50 30 35 40 45 M EA-LEAN Temperature (°C) T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100 C O 2 -r e c o v e ry ( % )
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5. Simulation results
5.4 Optimization of the stripper pressure
3,50 3,70 3,90 4,10 4,30 4,50 1,2 1,4 1,6 1,8 2,0 2,2
Stripper pressure (bar)
T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100 C O 2 R e c o v e ry ( % )
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5. Simulation results
5.5 Optimization of the temperature approach at the lean-rich heat exchanger
3,50 3,70 3,90 4,10 4,30 4,50 5 6 7 8 9 10 11 12 13 LRHeatX DeltaT (°C) T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100 C O 2 -r e c o v e ry ( % )
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6. Process modifications
• 6.1 Lean vapor compression • 6.2 Absorber intercooling
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6. Process modifications
6.1 Influence of the flash pressure by the LVC
- 25 % Thermal energy consumption - 18 % Exergy consumption 2,80 3,00 3,20 3,40 3,60 3,80 1,1 1,5 1,9 2,3
Flash pressure (bara)
T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100 C O 2 R e c o v e ry ( % )
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6. Process modifications
6.2 Influence of intercooler position
- 6 % Thermal energy consumption 3,50 3,70 3,90 4,10 4,30 4,50 No inte rcoo ling 1;2 2;3 3;4 prec oolin g T h e rm a l e n e rg y c o n s u m p ti o n ( G J /t o n C O 2 ) 50 60 70 80 90 100
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7. Conclusion and perspectives
• Simulation model => coherent results in comparison with the experiments on the Castor pilot
• Reduction of the thermal energy consumption by 29% achievable (IC + LVC)
• Reduction of the process exergy consumption reaches 19,5%
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7. Perspectives: PhD Thesis
• The subject is subdivided into 2 main subjects:
1. Modeling and optimal conception of the CO2
capture process
2. Study of the solvent degradation phenomena The final purpose is to propose optimal operating
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7. Perspectives: PhD Thesis Objectives of the Modeling:
• Optimisation of the existing process
• Proposition of new process improvements
• Test of those process improvements thanks to the simulation and selection of the best ones
• Utilization of the model in parallel with test campains on
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7. Perspectives: PhD Thesis
Objectives of the degradation study:
• Construction of a test installation for the study of solvent degradation phenomena
• Study of classical solvents
• Study of newly developed solvents and of degradation inhibitors
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7. Perspectives: PhD Thesis Degradation consequences: • Process operating cost:
- Solvent make-up
- Removal and disposal of degradation products - 4-10% of the total operating costs!
• Process performances
- Solvent loading capacity decreases - Viscosity increases
• Capital cost
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7. Perspectives: PhD Thesis
Importance of testing solvents on small scale installations before using them in larger scale pilots!
- Toxicity of the degradation products
- Viscosity, foaming, fouling,…
- Solvent make-up rate
- Removal and disposal of the degradation products - Corrosion
38 7. Perspectives: PhD Thesis
Different reactor types
Goff G., 2005 Lepaumier H., 2008 4 x 100 ml 10 ml 500 ml Davis et al., 2005
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Back-up slides
• Reaction kinetics is fast and neglectible in comparizon to mass transfer limitations
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Back-up slide
• Number of absorber stages / Mass transfer limitations
90,00 92,00 94,00 96,00 98,00 100,00 2 3 4 5
Number of equilibrium stages in the absorber
C O 2 -r e m o v a l (% ) Ns, real = H/HETP
packing = Ns, ideal/Ns, real Castor packing:
H = 17m
HETP ~ 0,55 m
New Pilot plant packing: H = 9m
HETP ~ 0,3 m
=> NS, real ~ 30
Diploma thesis presentation 09.11.09 42 Back-up slide • Henry ‘s law: PCO2 = KH CO2/Solvent . xCO2 • Temperature dependence : CO2 + MEA <=> CO2, abs.
K’ = xCO2, abs. / PCO2 . [MEA] => K = xCO2 / PCO2
KH
CO2/Solvent = 1/K • Van’t Hoff:
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Back-up slide
• With - H /R = C and HCO2/Solvent = 1/K
• If P increases, then T also increases and KH increases
since H is negative (exothermic absorption)
• => The CO2 partial pressure increases and the
regeneration is easier 1 1 ( ) ( ) exp ( ) H H ref ref k T k T C T T
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Back-up slide
• Influence of the solvent mass flow
0,20 0,25 0,30 0,35 0,40 0,45 0,50 10,50 11,50 12,50 13,50
Lean solvent massflow (m³/h)
S o lv e n t lo a d in g (k m o l C O 2 /k m o l M E A )
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Back-up slide
• Influence of the MEA-concentration
0,20 0,25 0,30 0,35 0,40 0,45 0,50 0,55 0,27 0,29 0,31 0,33 0,35 0,37
M EA-LEAN concentration (wt-fraction)
L o a d in g (k m o l C O 2 /k m o l M E A )
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Back-up slide
• Exergy calculation
Exergy = Thermal energy * Carnot efficiency
Carnot efficiency : 1 C H T T Flash-pressure Thermal energy consumption Normalized Compressor duty Normalized Blower Duty Normalized Pump duty
bar GJ/ton CO2 GJ/ton CO2 GJ/ton CO2 GJ/ton CO2
2,3 1,316 - 0,057 0,006
1,90 1,225 0,025 0,057 0,006
1,50 1,118 0,056 0,057 0,006
Diploma thesis presentation 09.11.09 47 Back-up slide Exergy consumption 1,0 1,2 1,4 1,6 1,8 2,0 1,1 1,5 1,9 2,3
Flash pressure (bara)
E x e rg y ( G J /t o n C O 2 ) Exergy consumption
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Back-up slide
• Absorber profile when Intercooling 1 2 3 4 45 50 55 60 65 70 Temperature (°C) S ta g e n u m b e r Precooling 1;2 2;3 3;4 No intercooling
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Back-up slide
Precursor model analysis
• Thermal energy consumption : 600 MWth by a flue gas
flow of 700 m³/s (500 ton CO2 h-1 0,15 ton CO2 s-1 )
=> 0,6 MWth / 0,15 ton CO2 s-1 => ~ 4GJ/ton CO
2
• Heat exchanger :
Q = 2,8 m³s-1 . 4180 Jkg-1K-1 . 10°K . 1100 kg m-3