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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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    References listed on IDEAS

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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. 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.
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    5. 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.
    6. 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.
    7. Sharifzadeh, Mahdi & Hien, Raymond Khoo Teck & Shah, Nilay, 2019. "China’s roadmap to low-carbon electricity and water: Disentangling greenhouse gas (GHG) emissions from electricity-water nexus via renewable wind and solar power generation, and carbon capture and sto," Applied Energy, Elsevier, vol. 235(C), pages 31-42.

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