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Planning of carbon capture storage deployment using process graph approach

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  • Chong, Fah Keen
  • Lawrence‎, Kelvin Kuhanraj
  • Lim, Pek Peng
  • Poon, Marcus Chinn Yoong
  • Foo, Dominic Chwan Yee
  • Lam, Hon Loong
  • Tan, Raymond R.

Abstract

Carbon capture and storage (CCS) is an emerging technology to mitigate carbon dioxide (CO2) emissions from industrial sources such as power plants. However, retrofitting a power plant for carbon capture causes an increase in unit power cost due to parasitic power losses as well as capital outlays for additional process equipment. Mathematical optimisation and pinch analysis techniques have been used to systematically plan for the retrofit of power plants. In this work, the planning of power plants retrofit along with CO2 source-sink matching is analysed using process graph (P-graph) optimisation technique. CO2 sources are assumed to be characterised by fixed flowrates and operating lives; while CO2 sinks are characterised by storage capacity limits and earliest time of availability. Illustrative case studies are solved to demonstrate the approach.

Suggested Citation

  • Chong, Fah Keen & Lawrence‎, Kelvin Kuhanraj & Lim, Pek Peng & Poon, Marcus Chinn Yoong & Foo, Dominic Chwan Yee & Lam, Hon Loong & Tan, Raymond R., 2014. "Planning of carbon capture storage deployment using process graph approach," Energy, Elsevier, vol. 76(C), pages 641-651.
    • Handle: RePEc:eee:energy:v:76:y:2014:i:c:p:641-651
    DOI: 10.1016/j.energy.2014.08.060
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    1. Hansson, Anders & Bryngelsson, Mårten, 2009. "Expert opinions on carbon dioxide capture and storage--A framing of uncertainties and possibilities," Energy Policy, Elsevier, vol. 37(6), pages 2273-2282, June.
    2. Finn Roar Aune & Gang Liu & Knut Einar Rosendahl & Eirik Lund Sagen, 2009. "Subsidising carbon capture. Effects on energy prices and market shares in the power market," Discussion Papers 595, Statistics Norway, Research Department.
    3. Pekala, Lukasz M. & Tan, Raymond R. & Foo, Dominic C.Y. & Jezowski, Jacek M., 2010. "Optimal energy planning models with carbon footprint constraints," Applied Energy, Elsevier, vol. 87(6), pages 1903-1910, June.
    4. Tan, Raymond R. & Foo, Dominic C.Y., 2007. "Pinch analysis approach to carbon-constrained energy sector planning," Energy, Elsevier, vol. 32(8), pages 1422-1429.
    5. Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2014. "Targeting for carbon sequestration retrofit planning in the power generation sector for multi-period problems," Applied Energy, Elsevier, vol. 113(C), pages 477-487.
    6. Varun & Bhat, I.K. & Prakash, Ravi, 2009. "LCA of renewable energy for electricity generation systems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 1067-1073, June.
    7. Lee, Jui-Yuan & Tan, Raymond R. & Chen, Cheng-Liang, 2014. "A unified model for the deployment of carbon capture and storage," Applied Energy, Elsevier, vol. 121(C), pages 140-148.
    8. Quadrelli, Roberta & Peterson, Sierra, 2007. "The energy-climate challenge: Recent trends in CO2 emissions from fuel combustion," Energy Policy, Elsevier, vol. 35(11), pages 5938-5952, November.
    9. Koo, Jamin & Han, Kyusang & Yoon, En Sup, 2011. "Integration of CCS, emissions trading and volatilities of fuel prices into sustainable energy planning, and its robust optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 665-672, January.
    10. Weisser, Daniel, 2007. "A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies," Energy, Elsevier, vol. 32(9), pages 1543-1559.
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    Cited by:

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    2. Lim, Juin Yau & How, Bing Shen & Rhee, Gahee & Hwangbo, Soonho & Yoo, Chang Kyoo, 2020. "Transitioning of localized renewable energy system towards sustainable hydrogen development planning: P-graph approach," Applied Energy, Elsevier, vol. 263(C).
    3. Süle, Zoltán & Baumgartner, János & Dörgő, Gyula & Abonyi, János, 2019. "P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems," Energy, Elsevier, vol. 179(C), pages 989-1003.
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    5. Horia Andrei & Cristian Andrei Badea & Paul Andrei & Filippo Spertino, 2020. "Energetic-Environmental-Economic Feasibility and Impact Assessment of Grid-Connected Photovoltaic System in Wastewater Treatment Plant: Case Study," Energies, MDPI, vol. 14(1), pages 1-22, December.
    6. Guo, Xiaolu & Yan, Xingqing & Zheng, Yangguang & Yu, Jianliang & Zhang, Yongchun & Chen, Shaoyun & Chen, Lin & Mahgerefteh, Haroun & Martynov, Sergey & Collard, Alexander & Brown, Solomon, 2017. "Under-expanded jets and dispersion in high pressure CO2 releases from an industrial scale pipeline," Energy, Elsevier, vol. 119(C), pages 53-66.
    7. Guo, Xiaolu & Yan, Xingqing & Yu, Jianliang & Yang, Yang & Zhang, Yongchun & Chen, Shaoyun & Mahgerefteh, Haroun & Martynov, Sergey & Collard, Alexander, 2017. "Pressure responses and phase transitions during the release of high pressure CO2 from a large-scale pipeline," Energy, Elsevier, vol. 118(C), pages 1066-1078.

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