A process systems approach to targeting membrane properties for post-combustion capture
42
0
0
Fulltekst
(2) Background. Trade-offs • Membrane properties: Permeance vs. Selectivity • Specifications: CO2 product purity vs. Capture Ratio • Cost: Energy vs. Membrane area • Multi-stage systems required for post-combustion capture to 95% product purity. • For multi-stage process the design complexity increases. • Identifying the “best” configuration and membrane properties is not straight-forward. 1.
(3) Parametric variation based design. 2.
(4) Optimization based design. 3.
(5) Motivation for new approach. Would it be possible to develop a visual design methodology: • multiple stages can be designed using a single figure? • indicates the potential of a membrane for different applications? • visually compare membranes? • capture cost is incorporated to accurately reflect the area-energy trade-off?. 4.
(6) The power of visual. John Snow - Cholera “infographic” 5.
(7) Attainable region - Effect of selectivity. 1. 0.9. 0.8. 0.7. Permeate purity. 0.6. 0.5. 0.4. 0.3. 0.2. 0.1. α = 50 PCO2 = 10.4 m3/(m2.h.bar) CCRi = 0.9. 0 0. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 6. 0.6. 0.7. 0.8. 0.9. 1.
(8) Attainable region - Effect of selectivity. 1. 0.9. 0.8. 0.7. Permeate purity. 0.6. 0.5. 0.4. 0.3. 0.2. 0.1. α = 200 PCO2 = 0.2 m3/(m2.h.bar) CCRi = 0.9. 0 0. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 6. 0.6. 0.7. 0.8. 0.9. 1.
(9) Attainable region - Effect of selectivity. 1. 0.9. 0.8. 0.7. Permeate purity. 0.6. 0.5. 0.4. 0.3. 0.2. 0.1. α = 50/200 PCO2 = 10.4/0.2 m3/(m2.h.bar) CCRi = 0.9. 0 0. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 6. 0.6. 0.7. 0.8. 0.9. 1.
(10) Attainable region - Effect of permeance. 1. 0.9. 0.8. 0.7. Permeate purity. 0.6. 0.5. 0.4. 0.3. 0.2. 0.1. α = 200 PCO2 = 0.2 m3/(m2.h.bar) CCRi = 0.9. 0 0. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 7. 0.6. 0.7. 0.8. 0.9. 1.
(11) Attainable region - Effect of permeance. 1. 0.9. 0.8. Permeate/retentate purity. 0.7. 0.6. 0.5. 0.4. 0.3. 0.2. 0.1. α = 200 PCO2 = 1 m3/(m2.h.bar) CCRi = 0.9. 0 0. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 7. 0.6. 0.7. 0.8. 0.9. 1.
(12) Attainable region - Example. CCR = 90%. 1. 8. 16. 32. CO2 product purity. 2. 0.9. α = 50. 64. 4. 0.8 α = 200. Permeate/Retentate purity. 0.7 8. 0.6 0.5. α = 200. 16. 0.4 0.3. α = 50 32. 0.2 64. 0.1 0 0. 8. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(13) Min Cost Design - Membrane 1. CCR = 90%. 1. 8. 16. 32. CO2 product purity. 2. 0.9. α = 50. 64. Stage 3. 4. 0.8 α = 200. Permeate/Retentate purity. 0.7 8. 0.6. Stage 2. 0.5 α = 200. 16. 0.4 0.3. α = 50 32. 0.2. Stage 1 64. 0.1 0 0. 9. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(14) Min Cost Design - Membranes 1 & 2. CCR = 90%. 1. 8. 16. 32. CO2 product purity. 2. 0.9. α = 50. 64. 4. 0.8 α = 200. Permeate/Retentate purity. 0.7 8. 0.6. Stage 2. 0.5 α = 200. 16. 0.4 0.3. α = 50 32. 0.2. Stage 1 64. 0.1 0 0. 10. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(15) Attainable Region - 2 stage design. CCR = 90%. 1. 8. 16. 32. CO2 product purity. 2. 0.9. α = 50. 64. 4. 0.8 α = 200. Stage 2. Permeate/Retentate purity. 0.7 8. 0.6 0.5. α = 200. 16. 0.4 Stage 1. 0.3. α = 50. 32. 0.2 64. 0.1 0 0. 11. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(16) Attainable Region - 2 stage design. CCR = 90%. 1. 2. 0.9. α = 50. 64. 4. 0.8 α = 200. Stage 2. 0.7 Permeate/Retentate purity. 8. 16. 32. CO2 product purity. 8. 0.6 0.5. α = 200. 16. 0.4 Stage 1. 0.3. α = 50. 32. 0.2 64. 0.1 0 0. 11. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(17) Attainable Region - 2 stage design. CCR = 90%. 1. 8. 16. 32. CO2 product purity. 2. 0.9. α = 50. 64. 4. 0.8 α = 200. Stage 2. Permeate/Retentate purity. 0.7 8. 0.6 0.5. α = 200. 16. 0.4 Stage 1. 0.3. α = 50. 32. 0.2 64. 0.1 0 0. 11. 0.1. 0.2. 0.3. 0.4. 0.5 Feed composition. 0.6. 0.7. 0.8. 0.9. 1.
(18) New paradigm of process design. • Current material development strategies – Development and further improvement based on ”educated guess” target properties – No systematic benchmarking before development – Different target properties and material development strategies. • Integrated techno-economic assessment to guide material development – Identify target characteristics (properties, costs, etc.) – Guide further development of existing materials – Benefits » Reduction of development cost » Faster time to market. 12.
(19) The storyline. 13.
(20) The storyline. 13.
(21) The storyline. 13.
(22) The storyline. 13.
(23) The storyline. 13.
(24) The storyline. 13.
(25) The storyline. 13.
(26) The storyline. 13.
(27) The storyline. 13.
(28) The storyline. 13.
(29) The storyline. 13.
(30) The storyline. 13.
(31) The storyline. 13.
(32) The storyline. 13.
(33) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture. 14.
(34) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials. 14.
(35) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market. 14.
(36) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market – Help industry and funding bodies to support best strategies for membrane development. 14.
(37) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market – Help industry and funding bodies to support best strategies for membrane development. • The methodology has received positive feedback. 14.
(38) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market – Help industry and funding bodies to support best strategies for membrane development. • The methodology has received positive feedback • Further work. 14.
(39) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market – Help industry and funding bodies to support best strategies for membrane development. • The methodology has received positive feedback • Further work – Extension of the methodology to other membrane applications (Hydrogen, Biogas, Natural gas...). 14.
(40) Summary. • Integrated techno-economic assessments can be used to accelerate membrane materials development for cost-effective CO2 capture – Identify target characteristics and guide further development of existing materials – Help reduce development costs and reach faster time to market – Help industry and funding bodies to support best strategies for membrane development. • The methodology has received positive feedback • Further work – Extension of the methodology to other membrane applications (Hydrogen, Biogas, Natural gas...) – Extension of the methodology to other types of technologies. 14.
(41) Acknowledgement. This presentation has been produced with support from the BIGCCS and NCCS Centres, performed under the Norwegian research program Centres for Environmentally-friendly Energy Research (FME). The authors acknowledge the following partners for their contributions: Aker Solutions, ANSALDO Energia, CoorsTek Membrane Sciences, ConocoPhillips, Gassco, KROHNE, Larvik Shipping, Norcem, Norwegian Oil and Gas, Quad Geometrics, Shell, Statoil, TOTAL, ENGIE and the Research Council of Norway (193816/S60 and 257579/E20).. 15.
(42) Technology for a better society Contact: rahul.anantharaman@sintef.no.
(43)
RELATERTE DOKUMENTER
The decarbonised, hydrogen-rich top gas from the cryogenic unit can be partly recycled to the membrane unit to increase the hydrogen recovery ratio and CO 2 capture ratio.. This
MA-CLR appears to be the most promising membrane fluidized bed reactor concept from an economic point of view [12], but it faces an important technical challenge: achieving steady
While the results presented in section 3 identify the membrane properties required for membrane-based process to compete with MEA-based technology for post-combustion CO 2
A graphical methodology developed at SINTEF Energy Research [7] is used in the present work to design two near-cost-optimal membrane systems that fulfil requirements on CO 2
Application of a vacuum swing will minimize the temperature difference between the carbonation and regeneration steps, thus maximizing the heat pump coefficient of performance,
The purpose of the present work has been to develop and demonstrate a dynamic process model for simulation of a simplified post-combustion absorption based CO 2 capture process
The present work reports the results of process design and techno-economic assessment carried out on a CO 2 capture unit operating with an aqueous solution of potassium
However, as in the literature [14, 15], cost estimates for membrane CO 2 capture from an ASC power plant often lead to higher costs, it appears necessary to evaluate if
