A unified model for the deployment of carbon capture and storage

Applied Energy

Volumn 121, Issue , 2014, Pages 140-148

  Lee, Jui Yuan ^a   Tan, Raymond R ^b   Chen, Cheng Liang ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b DE LA SALLE UNIVERSITY   (Philippines)

Author keywords

Carbon capture and storage (CCS); Mathematical optimization; Mixed integer linear programming (MILP); Source sink matching

Indexed keywords

CARBON DIOXIDE; EMISSION CONTROL; ENERGY DISSIPATION; INTEGER PROGRAMMING; SENSITIVITY ANALYSIS; UNCERTAINTY ANALYSIS;

CARBON CAPTURE AND STORAGES (CCS); CARBON EMISSIONS REDUCTIONS; DEGREE OF FLEXIBILITY; MATHEMATICAL OPTIMIZATIONS; MIXED-INTEGER LINEAR PROGRAMMING; PLANNING HORIZONS; SOURCE-SINK; VARIABLE FLOW RATE;

CARBON CAPTURE;

CARBON DIOXIDE; CARBON EMISSION; CARBON SEQUESTRATION; ENERGY PLANNING; FLOW MEASUREMENT; POWER PLANT; UNCERTAINTY ANALYSIS;

EID: 84896850331     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.01.080     Document Type: Article

References (48)

1. Davison J., Freund P., Smith A. Putting carbon back into the ground 2001 Feb, IEA Greenhouse Gas R&D Programme, Cheltenham.
2. Holloway S. Carbon dioxide capture and geological storage. Phil Trans R Soc A 2007, 365:1095-1107.
3. Câmara G., Andrade C., Silva A., Rocha P. Storage of carbon dioxide in geological reservoirs: is it a cleaner technology?. J Clean Prod 2013, 47:52-60.
4. Lior N. Sustainable energy development: The present (2011) situation and possible paths to the future. Energy 2012, 43:174-191.
5. 2 capture and storage: Variable electricity generation and fossil fuel power. Appl Energy 2013, 108:66-73.
6. Selosse S., Ricci O., Maïzi N. Fukushima's impact on the European power sector: The key role of CCS technologies. Energy Econ 2013, 39:305-312.
7. 2 emissions, economic growth and coal consumption in China and India. Appl Energy 2013, 104:310-318.
8. Weijermars R. Economic appraisal of shale gas plays in Continental Europe. Appl Energy 2013, 106:100-115.
9. International Energy Agency (IEA). Technology roadmap: Carbon capture and storage. Paris: OECD/IEA; 2009.
10. Tola V., Pettinau A. Power generation plants with carbon capture and storage: a techno-economic comparison between coal combustion and gasification technologies. Appl Energy 2014, 113:1461-1474.
11. 2 capture. Appl Energy 2013, 111:710-720.
12. Tan R.R., Ng D.K.S., Foo D.C.Y. Pinch analysis approach to carbon-constrained planning for sustainable power generation. J Clean Prod 2009, 17:940-944.
13. Shenoy A.U., Shenoy U.V. Targeting and design of energy allocation networks with carbon capture and storage. Chem Eng Sci 2012, 68:313-327.
14. Ooi R.E.H., Foo D.C.Y., Tan R.R., Ng D.K.S., Smith R. Carbon constrained energy planning (CCEP) for sustainable power generation sector with automated targeting model. Ind Eng Chem Res 2013, 52:9889-9896.
15. Ooi R.E.H., Foo D.C.Y., Tan R.R. Targeting for carbon sequestration retrofit planning in the power generation sector for multi-period problems. Appl Energy 2014, 113:477-487.
16. Sahu GC, Bandyopadhyay S, Foo DCY, Ng DKS, Tan RR. Targeting for optimal grid-wide deployment of carbon capture and storage (CCS) technology. Process Saf Environ Protect, in press.
17. Pekala Ł.M., Tan R.R., Foo D.C.Y., Jeżowski J.M. Optimal energy planning models with carbon footprint constraints. Appl Energy 2010, 87:1903-1910.
18. Tan R.R., Ng D.K.S., Foo D.C.Y., Aviso K.B. Crisp and fuzzy integer programming models for optimal carbon sequestration retrofit in the power sector. Chem Eng Res Des 2010, 88:1580-1588.
19. Elkamel A., Hashim H., Douglas P.L., Croiset E. Optimization of energy usage for fleet-wide power generating system under carbon mitigation options. AIChE J 2009, 55:3168-3190.
20. Yang Y., Zhai R., Duan L., Ondrej M., John O. Study on multi-objective optimization of load dispatch including renewable energy and CCS technologies. Int J Energy Res 2010, 34:702-715.
21. 2 capture and sequestration under uncertainty through inexact modeling. Appl Energy 2014, 113:310-317.
22. 2 network for industrial emissions. Appl Energy 2012, 91:459-465.
23. 2 transport: a new application of the assignment problem. Energy 1987, 12:123-130.
24. Benson HY, Ogden JM. Mathematical programming techniques for designing minimum cost pipeline networks for CO2 sequestration. In: Gale J, Kaya Y, editors. Greenhouse gas control technologies. GHGT-6: proceedings of the 6th international conference on greenhouse gas control technologies; 2002 October 1-4. Kyoto, Japan. Oxford: Pergamon; 2003. p. 627-32.
25. Fimbres Weihs G.A., Wiley D.E., Ho M. Steady-state optimisation of CCS pipeline networks for cases with multiple emission sources and injection sites: South-east Queensland case study. Energy Procedia 2011, 4:2748-2755.
26. Middleton R.S., Bielicki J.M. A scalable infrastructure model for carbon capture and storage: SimCCS. Energy Policy 2009, 37:1052-1060.
27. 2 transport and storage infrastructure. Int J Greenh Gas Control 2012, 8:132-142.
28. 2 capture and storage infrastructure. Environ Model Softw 2012, 37:193-205.
29. Tan R.R., Aviso K.B., Bandyopadhyay S., Ng D.K.S. Optimal source-sink matching in carbon capture and storage systems with time, injection rate, and capacity constraints. Environ Prog Sustain Energy 2013, 32:411-416.
30. Tan R.R., Aviso K.B., Bandyopadhyay S., Ng D.K.S. Continuous-time optimization model for source-sink matching in carbon capture and storage systems. Ind Eng Chem Res 2012, 51:10015-10020.
31. Lee J.-Y., Chen C.-L. Comments on "Continuous-time optimization model for source-sink matching in carbon capture and storage systems". Ind Eng Chem Res 2012, 51:11590-11591.
32. Sun L., Chen W. The improved ChinaCCS decision support system: A case study for Beijing-Tianjin-Hebei Region of China. Appl Energy 2013, 112:793-799.
33. He Y.-J., Zhang Y., Ma Z.-F., Sahinidis N.V., Tan R.R., Foo D.C.Y. Optimal source-sink matching in carbon capture and storage systems under uncertainty. Ind Eng Chem Res 2014, 53:778-785.
34. Kazmierczak T., Brandsma R., Neele F., Hendriks C. Algorithm to create a CCS low-cost pipeline network. Energy Procedia 2009, 1:1617-1623.
35. Ooi R.E.H., Foo D.C.Y., Ng D.K.S., Tan R.R. Planning of carbon capture and storage with pinch analysis techniques. Chem Eng Res Des 2013, 91:2721-2731.
36. Diamante J.A.R., Tan R.R., Foo D.C.Y., Ng D.K.S., Aviso K.B., Bandyopadhyay S. A graphical approach for pinch-based source-sink matching and sensitivity analysis in carbon capture and storage systems. Ind Eng Chem Res 2013, 52:7211-7222.
37. Diamante JAR, Tan RR, Foo DCY, Ng DKS, Aviso KB, Bandyopadhyay S. Unified pinch approach for targeting of carbon capture and storage (CCS) systems with multiple time periods and regions. J Clean Prod., in press.
38. Tan R.R., Promentilla M.A.B. A methodology for augmenting sparse pairwise comparison matrices in AHP: applications to energy systems. Clean Technol Environ Policy 2013, 15:713-719.
39. Promentilla M.A.B., Tapia J.F.D., Arcilla C.A., Dugos N.P., Gaspillo P.D., Roces S.A., et al. Interdependent ranking of sources and sinks in CCS systems using the analytic network process. Environ Model Softw 2013, 50:21-24.
40. 2. Appl Energy 2011, 88:3557-3566.
41. 2 capture: Methodology and case studies. Appl Energy 2012, 93:348-356.
42. Rosenthal R.E. GAMS - A User's Guide 2008, GAMS Development Corporation, Washington, DC.
43. 2 storage capacity estimation: methodology and gaps. Int J Greenh Gas Control 2007, 1:430-443.
44. 2 storage capacity in saline aquifers: a numerical study. Int J Energy Res 2013, 37:189-199.
45. 2 sequestration: an experimental and numerical study. Int J Energy Res 2014, 38:60-69.
46. Viebahn P., Daniel V., Samuel H. Integrated assessment of carbon capture and storage (CCS) in the German power sector and comparison with the deployment of renewable energies. Appl Energy 2012, 97:238-248.
47. Viebahn P., Vallentin D., Höller S. Prospects of carbon capture and storage (CCS) in India's power sector - an integrated assessment. Appl Energy 2014, 117:62-75.
48. Hansson A., Bryngelsson M. Expert opinions on carbon dioxide capture and storage - a framing of uncertainties and possibilities. Energy Policy 2009, 37:2273-2282.