systematic design of membrane systems for co2 capture
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Synthesis and optimization ofmembrane systems for CO2 captureapplications
Karl Lindqvist & Rahul AnantharamanSINTEF Energy Research
PRES 2014Prague, August 24, 2014
2
Outline
Background & Motivation
Membrane system design
Attainable region approach to membrane system design
Summary
3
Integrated Assessment in BIGCCS
I Systematic benchmarking of CO2 capture processes usingconsistent boundary conditions to
– Identify potential of capture processes– Provide directions for future research such as material development
I Muti-scale modeling of processes for integrated assessment
3
Integrated Assessment in BIGCCS
I Systematic benchmarking of CO2 capture processes usingconsistent boundary conditions to
– Identify potential of capture processes– Provide directions for future research such as material development
I Muti-scale modeling of processes for integrated assessment
3
Integrated Assessment in BIGCCS
I Systematic benchmarking of CO2 capture processes usingconsistent boundary conditions to
– Identify potential of capture processes– Provide directions for future research such as material development
I Muti-scale modeling of processes for integrated assessment
3
Integrated Assessment in BIGCCS
I Systematic benchmarking of CO2 capture processes usingconsistent boundary conditions to
– Identify potential of capture processes– Provide directions for future research such as material development
I Muti-scale modeling of processes for integrated assessment
4
Single Stage Membrane
I Each membrane stage involves trade-off between product purityand capture rate.
– Played out as a trade-off between driving force (compression work)and membrane area.
I Significant work in literature on “sensitivity” analysis to designsingle stage systems.
4
Single Stage Membrane
I Each membrane stage involves trade-off between product purityand capture rate.
– Played out as a trade-off between driving force (compression work)and membrane area.
I Significant work in literature on “sensitivity” analysis to designsingle stage systems.
4
Single Stage Membrane
I Each membrane stage involves trade-off between product purityand capture rate.
– Played out as a trade-off between driving force (compression work)and membrane area.
I Significant work in literature on “sensitivity” analysis to designsingle stage systems.
5
Motivation
I Multi-stage systems required for post-combustion capture to95% product purity.
I For multi-stage process the design complexity increases further.I Identifying the “best” configuration for a given membrane is not
straight-forward.
5
Motivation
I Multi-stage systems required for post-combustion capture to95% product purity.
I For multi-stage process the design complexity increases further.I Identifying the “best” configuration for a given membrane is not
straight-forward.
5
Motivation
I Multi-stage systems required for post-combustion capture to95% product purity.
I For multi-stage process the design complexity increases further.I Identifying the “best” configuration for a given membrane is not
straight-forward.
6
Parametric variation based design
7
Optimization based design
8
Motivation for new approach
Would it be possible to develop a visual design methodology:I visually compare membranes?I indicates the potential of a membrane for different applications?I multiple stages can be designed using a single figure?I capture cost is incorporated to accurately reflect the area-energy
trade-off?
8
Motivation for new approach
Would it be possible to develop a visual design methodology:I visually compare membranes?I indicates the potential of a membrane for different applications?I multiple stages can be designed using a single figure?I capture cost is incorporated to accurately reflect the area-energy
trade-off?
8
Motivation for new approach
Would it be possible to develop a visual design methodology:I visually compare membranes?I indicates the potential of a membrane for different applications?I multiple stages can be designed using a single figure?I capture cost is incorporated to accurately reflect the area-energy
trade-off?
8
Motivation for new approach
Would it be possible to develop a visual design methodology:I visually compare membranes?I indicates the potential of a membrane for different applications?I multiple stages can be designed using a single figure?I capture cost is incorporated to accurately reflect the area-energy
trade-off?
9
Attainable region approach
9
Attainable region approach
9
Attainable region approach
9
Attainable region approach
10
Attainable region approach
I Visual representation to identify potential of a membraneI Capture ratio is fixed in the figureI One figure for a membrane (and capture ratio)I Suitable for all feed compositions
10
Attainable region approach
I Visual representation to identify potential of a membraneI Capture ratio is fixed in the figureI One figure for a membrane (and capture ratio)I Suitable for all feed compositions
10
Attainable region approach
I Visual representation to identify potential of a membraneI Capture ratio is fixed in the figureI One figure for a membrane (and capture ratio)I Suitable for all feed compositions
10
Attainable region approach
I Visual representation to identify potential of a membraneI Capture ratio is fixed in the figureI One figure for a membrane (and capture ratio)I Suitable for all feed compositions
11
Attainable region - Effect of selectivity
0
0.1
0.2
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0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
pur
ity
Feed composition
α = 50 PCO2 = 10.4 m3/(m2.h.bar) CCRi = 0.9
11
Attainable region - Effect of selectivity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
pur
ity
Feed composition
α = 200 PCO2 = 0.2 m3/(m2.h.bar) CCRi = 0.9
11
Attainable region - Effect of selectivity
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
pur
ity
Feed composition
α = 50/200 PCO2 = 10.4/0.2 m3/(m2.h.bar) CCRi = 0.9
12
Attainable region - Effect of permeance
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
pur
ity
Feed composition
α = 200 PCO2 = 0.2 m3/(m2.h.bar) CCRi = 0.9
12
Attainable region - Effect of permeance
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/ret
enta
te p
urity
Feed composition
α = 200 PCO2 = 1 m3/(m2.h.bar) CCRi = 0.9
13
Attainable region - Effect of capture rate
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/ret
enta
te p
urity
Feed composition
α = 50 PCO2 = 5.94 m3/(m2.h.bar) CCRi = 0.6
13
Attainable region - Effect of capture rate
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/ret
enta
te p
urity
Feed composition
α = 50 PCO2 = 5.94 m3/(m2.h.bar) CCRi = 0.9
13
Attainable region - Effect of capture rate
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/ret
enta
te p
urity
Feed composition
α = 50 PCO2 = 5.94 m3/(m2.h.bar) CCRi = 0.95
13
Attainable region - Effect of capture rate
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/ret
enta
te p
urity
Feed composition
α = 50 PCO2 = 5.94 m3/(m2.h.bar) CCRi = 0.6/0.95
14
Application
I Post-combustion capture - 10% CO2, 90% N2
I Membrane 1 - CO2 permeance: 10.4 m3(STP)/(m2.h.bar),Selectivity: 50
I Membrane 2 - CO2 permeance: 0.2 m3(STP)/(m2.h.bar),Selectivity: 200
I Cost data taken from Merkel et al. (2010)
15
Application - Attainable region
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
32
16
8
4
2
CCR = 90%
15
Application - Attainable region
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
32
16
8
4
2
CO2 product purity
CCR = 90%
15
Application - Attainable region
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
16
Min Cost Design - Membrane 1
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
Stage 3
17
Min Cost Design - Membrane 2
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
17
Min Cost Design - Membrane 2
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200 α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
18
Min Cost Design - Membranes 1 & 2
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
18
Min Cost Design - Membranes 1 & 2
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200 α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
19
Attainable Region - 2 stage design
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
19
Attainable Region - 2 stage design
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
19
Attainable Region - 2 stage design
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 2
Stage 1
19
Attainable Region - 2 stage design
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Perm
eate
/Ret
enta
te p
urity
Feed composition
64
64
32
32
16
8
4
2
16 8
α = 200
α = 50
α = 50
α = 200
CO2 product purity
CCR = 90%
Stage 1
Stage 2
20
Summary
I A novel and elegant method for consistent design of membranesystems has been developed.
I The visual method allows for identifying the potential ofmembranes.
I A simple stage-wise method is used to design the process.I CO2 capture cost is incorporated in the design process.
20
Summary
I A novel and elegant method for consistent design of membranesystems has been developed.
I The visual method allows for identifying the potential ofmembranes.
I A simple stage-wise method is used to design the process.I CO2 capture cost is incorporated in the design process.
20
Summary
I A novel and elegant method for consistent design of membranesystems has been developed.
I The visual method allows for identifying the potential ofmembranes.
I A simple stage-wise method is used to design the process.I CO2 capture cost is incorporated in the design process.
20
Summary
I A novel and elegant method for consistent design of membranesystems has been developed.
I The visual method allows for identifying the potential ofmembranes.
I A simple stage-wise method is used to design the process.I CO2 capture cost is incorporated in the design process.
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