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A unified model for the deployment of carbon capture and storage

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  • Lee, Jui-Yuan
  • Tan, Raymond R.
  • Chen, Cheng-Liang

Abstract

This paper presents a comprehensive unified model for planning the retrofit of power plants with carbon capture (CC) technologies and the subsequent carbon dioxide (CO2) source-sink matching. The planning horizon is divided into time intervals that are not necessarily of equal duration, but which represent time slices generated by specific events (e.g. start and end of plant operation) occurring in the system as well as the required degree of flexibility in planning. In carbon capture and storage (CCS) systems, CO2 sources have variable flow rates and fixed operating lives, while CO2 sinks have finite injection rate and storage capacity limits, as well as earliest times of availability. The model takes into account such physical and temporal considerations, and also accounts for the need for additional power generation to compensate for energy loss penalties resulting from the capture of CO2. A case is used to demonstrate the application of the proposed model. Sensitivity analyses are carried out to examine the tradeoff between carbon emissions reduction and power cost, as well as the effects of uncertainties in sink characteristics and properties of compensatory power on CCS.

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  • 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.
    • Handle: RePEc:eee:appene:v:121:y:2014:i:c:p:140-148
    DOI: 10.1016/j.apenergy.2014.01.080
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    Cited by:

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    5. 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.
    6. Tapia, John Frederick D. & Lee, Jui-Yuan & Ooi, Raymond E.H. & Foo, Dominic C.Y. & Tan, Raymond R., 2016. "Optimal CO2 allocation and scheduling in enhanced oil recovery (EOR) operations," Applied Energy, Elsevier, vol. 184(C), pages 337-345.
    7. Lunz, Benedikt & Stöcker, Philipp & Eckstein, Sascha & Nebel, Arjuna & Samadi, Sascha & Erlach, Berit & Fischedick, Manfred & Elsner, Peter & Sauer, Dirk Uwe, 2016. "Scenario-based comparative assessment of potential future electricity systems – A new methodological approach using Germany in 2050 as an example," Applied Energy, Elsevier, vol. 171(C), pages 555-580.
    8. Callas, Catherine & Saltzer, Sarah D. & Steve Davis, J. & Hashemi, Sam S. & Kovscek, Anthony R. & Okoroafor, Esuru R. & Wen, Gege & Zoback, Mark D. & Benson, Sally M., 2022. "Criteria and workflow for selecting depleted hydrocarbon reservoirs for carbon storage," Applied Energy, Elsevier, vol. 324(C).
    9. Zhang, Shuai & Zhuang, Yu & Liu, Linlin & Zhang, Lei & Du, Jian, 2019. "Risk management optimization framework for the optimal deployment of carbon capture and storage system under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    10. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J., 2015. "Achieving 33% renewable electricity generation by 2020 in California," Energy, Elsevier, vol. 92(P3), pages 260-269.
    11. Kong, Karen Gah Hie & How, Bing Shen & Lim, Juin Yau & Leong, Wei Dong & Teng, Sin Yong & Ng, Wendy Pei Qin & Moser, Irene & Sunarso, Jaka, 2022. "Shaving electric bills with renewables? A multi-period pinch-based methodology for energy planning," Energy, Elsevier, vol. 239(PD).
    12. Lee, Jui-Yuan, 2017. "A multi-period optimisation model for planning carbon sequestration retrofits in the electricity sector," Applied Energy, Elsevier, vol. 198(C), pages 12-20.
    13. Sreedhar, I. & Vaidhiswaran, R. & Kamani, Bansi. M. & Venugopal, A., 2017. "Process and engineering trends in membrane based carbon capture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 659-684.
    14. Wang, Peng-Tao & Wei, Yi-Ming & Yang, Bo & Li, Jia-Quan & Kang, Jia-Ning & Liu, Lan-Cui & Yu, Bi-Ying & Hou, Yun-Bing & Zhang, Xian, 2020. "Carbon capture and storage in China’s power sector: Optimal planning under the 2 °C constraint," Applied Energy, Elsevier, vol. 263(C).
    15. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R., 2014. "Minimising carbon emissions and energy expended for electricity generation in New Zealand through to 2050," Applied Energy, Elsevier, vol. 135(C), pages 656-665.
    16. Walmsley, Michael R.W. & Walmsley, Timothy G. & Atkins, Martin J. & Kamp, Peter J.J. & Neale, James R. & Chand, Alvin, 2015. "Carbon Emissions Pinch Analysis for emissions reductions in the New Zealand transport sector through to 2050," Energy, Elsevier, vol. 92(P3), pages 569-576.

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