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Optimisation of post combustion carbon dioxide capture by use of a facilitated carrier membrane Natsayi Chiwaye, Thokozani Majozi and Michael Daramola , * School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan


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Optimisation of post combustion carbon dioxide capture by use of a facilitated carrier membrane

Natsayi Chiwaye, Thokozani Majozi and Michael Daramola,*

School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa

*Corresponding author: michael.daramola@wits.ac.za; Tel +27117177536

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Outline

Background and Motivation Problem Statement Model Development Case Study Conclusion

1

1

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SLIDE 3

Gas separation problem

 Draw backs of chemical absorption by amines

  • Huge energy demand during regeneration of amine
  • Corrosive to equipment
  • The solvent degrades in the presence of common

flue gas

 Other technologies

  • Adsorbents
  • Membranes

3

 Post combustion capture

Background and Motivation

Membranes: Advantages

 Less energy intensive  No moving parts hence low maintenance  Relatively more environmentally friendly

Membranes: Challenges

  • Driving force

Low CO2 concentration in flue gas, low feed pressure

  • Need for membranes with high CO2 permeance
  • And selectivity

2

Boiler Flue gas 70% N2 4-15% CO2 1 bar CO2 capture unit N2 CO2 Air Fuel Electricity Generation Steam

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SLIDE 4

4

FSC membrane application considerations

 Permeance highly dependent on relative humidity Water vapour as sweep is suitable Water highly permeable

Background and Motivation

Fixed site carrier facilitated membrane

 Transport of CO2 across the membrane is due to diffusion and the reversible reaction of CO2 and NH2 groups in the presence of H2O.  FSC membranes enhanced permeance and increased CO2 selectivity  Therefore results in lower cost of CO2 capture

3

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SLIDE 5

Hussain & Hagg 2010 He & Hagg (2014) He et al., (2015) Current Study Process flow Predetermined Predetermined Predetermined Superstructure based model Membrane stages 2 2 2 Multi Components 4 4 2 4 Pressure ratio fixed fixed fixed Variable Relative humidity

  • fixed
  • variable

Recycle stream

Permeate pressure generation Vacuum & sweep vacuum vacuum Vacuum & sweep gas CO2/H2O selectivity 4.4e8 1

  • 1

Background and Motivation

4

4

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SLIDE 6

Aim & Objectives

 Aim

 To develop a mathematical model for the optimal design of FSC process flow system minimising the total annualized cost in

  • rder to further reduce the cost of CO2 capture by FSC

membrane.

5

 Objectives

 To develop a comprehensive FSC superstructure  To determine the effect of varying pressure ratio on the total cost

  • f CO2 capture

 To investigate the effect of permeate pressure generation by vacuum and, or sweep gas  The feasibility of this proposed system is evaluated by

  • ptimizing the process based on the minimum total annualised

cost of capturing CO2.

5

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SLIDE 7

Problem Statement

 Given:

Flue gas of known flowrate, components, temperature and pressure Desired permeate purity and desired capture ratio Permeance and selectivity of the membrane

 Determine:

The membrane process system that minimises the total annualised costs for the carbon capture for target separation factor. The optimum operating and design conditions of the membrane units:

  • flowrate of streams,
  • area of the membrane,
  • permeate and retentate pressure,
  • Relative humidity
  • sweep gas flow rate and
  • compressor and vacuum pumps power consumption.

6

6

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SLIDE 8

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 Constraints  Gas permeation  Mass balances  Energy consumption of compressors, vacuum pumps and energy recovered by expanders  Heat transfer area  Separation targets- capture ratio and product purity  Objective function

Model Development

 Major assumptions  Concentration polarisation on the membrane is negligible  The pressure drop along the membrane is negligible.  The overall permeance of component is not affected by pressure nor by concentration variation  Counter-current flow is considered.

Model Development

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SLIDE 9

Membrane 1

H2O CO2 Final product Flue gas N2 Final residue Retantate recycle Flue gas Flue gas Feed Permeate Permeate Sweep Permeate Permeate recycle Permeate recycle Permeate recycle Permeate recycle Product Product Permeate Permeate Permeate Sweep Permeate Feed Retantate Retantate recycle Retantate recycle Retantate Residue Residue

Water vapour sweep regenetation Water vapour sweep regenetation

Permeate Permeate H2O H2O H2O Permeate Permeate Permeate H2O H2O Membrane 1 Membrane 2 Retantate Retantate

7

 Superstructure

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SLIDE 10

Model Development

, , , , , p f s r n r t rr t p m rm i n n i n r r i n n n ff p t i n n

R x Rx Rx R  

 

, , , 2

,

f s f b w i n i n i n s n

R R R iI iH O    

 Major mass balance constraints

 Feed mixer  Bubble column

10

9

Model Development

 Balance on permeate condenser / sweep gas recovery

, , , , 2 , , , 2

; , ; ,

p m p m s w

  • i

n i n i n i n p m p m s w

  • i

n i n i s g n

RRRRn n iI iH O RR R n n iI iH O             

Membrane 1 Membrane Water vapour sweep regeneration

ft i

R

, pmr i n

R

, pmr i n

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, fsn i n

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, , rtr i n rr

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, pms i n

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, bw i n

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, fs i n

R

, f i n

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, pm i n

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, pos i n

R

2

H O

  • pw

i

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R

  • p

i

R

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i

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  • a

i

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f n

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x

2

H O

, pm i n

R

, pm i n

R

, pmr i n

R

, pos i n

R

2

H O

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SLIDE 11

Model Development

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 Target capture ratio  Desired purity

 Separation targets- capture ratio and product purity

 Permeate pressure range for vacuum  Permeate pressure range for sweep

 Allowable membrane area  Relative humidity  Sweep gas flow rate 11

Model Development

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SLIDE 12

 

m i n T A C O P E X C A P E X  

 Objective function

 Cost of electricity  Cost of labour  Purchase and installation cost of operational units OPEX CAPEX

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12

Model Development

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SLIDE 13

Case Study

 Case study (He & Hägg, (2014) )

 Techno economic feasibility study of CC by FSC membrane  Predetermined two membrane stage process flow  Cascading process flow, no recycle streams

Parameter Value Flue gas flow rate (kmol/s) 26.6111 Flue gas temperature (°C) 50 Mole fractions of components CO2 0.137 N2 0.7289 H2O, 0.0365 O2 0.0973 Membrane Temperature (°C) 35 Membrane permeance of CO2 (kmol/m2bar.s) 2.48E-05 Permeate pressure (bar) 0.25 Retentate pressure (bar) 2 14 Parameter Value CO2/N2 selectivity 135 CO2/H2O selectivity 1 CO2/O2 selectivity 30

13

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Scenario 1 Scenario 2 Scenario 3 Scenario 4 Process flow Predetermined Model determined Model determined Model determined Membrane stages 2 3 3 3 Pressure ratio Parameter Variable Variable Variable Relative humidity Parameter variable Variable variable Permeate pressure Vacuum Vacuum Combination Sweep gas Recycle streams

 

Results and Discussion

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14

Results and Discussions

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SLIDE 15

Results and Discussion

Scenario 1 2 3 4 Number of mem stages 2 3 3 3 Capture ratio (%) 90 90 90 90 CO2 product purity (%) 95 95 95 95 TAC (M $) 174,7 144.1 141.8 144.4 Operating costs, (M $) 46.5 44.8 50.3 52.6 Capital costs (M $) 128,2 99.6 91.5 91.7 Total membrane (Mm2) 4.05 1.75 1.83 2.04 Total net power (MW) 154,6 149.0 167.2 176.1 Total power (MW) 208 224 217.5 223.7 Power recovered by expander (MW) 53.4 75.1 76.9 47.6

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Scenario 1 2 3 4 Specific membrane area (m2/tCO2.h) 7708.1 3348.2 3526.8 3911.0 Heat transfer area (m2) 78605.9 112319.2 67405.9 34932.7 CO2 capture rate (ton/h) 521 521 521.3 521.3 Specific power consumption (kWh /ton) 296 286 321 292 Specific energy (GJ/tCO2) 1.065 1.03 1.15 1.22 TLC ($/tCO2) 44.7 36.8 36.3 36.9 % saving on TLC

  • 17.6

18.7 17.4

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Results & Discussion

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Conclusion

Integration and optimisation will help in making the CCS by FSC membranes more economical Combination of sweep and vacuum give optimum flow Membrane area decrease by 56.7% Cost of capture is reduced by 17%.

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Results & Discussion

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SLIDE 17

Natsayi Chiwaye, Thokozani Majozi and Michael Daramola*

School of Chemical and Metallurgical Engineering, University of the Witwatersrand, 1 Jan Smuts Avenue, Braamfontein, Johannesburg, 2000, South Africa *Corresponding author: michael.daramola@wits.ac.za

Tel +2711 717 7536

Thank you