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Multi-level investment planning and scheduling under electricity and carbon market dynamics: Retrofit of a power plant with PCC (post-combustion carbon capture) processes

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  • Khalilpour, Rajab

Abstract

This paper addresses four levels in carbon management decision-making: government, enterprise, plant, and process. Robust decision-making at any level requires consideration of the constraints and requirements of other levels. The focus of the paper is the enterprise level, when a power generating company wishes to develop its long term carbon management strategy. The carbon reduction option is solvent-based PCC (post-combustion carbon capture), which has been discussed as the most accessible option for CCS (carbon capture and storage) objectives. The company desires to know whether/when/how to invest in PCC processes in order to satisfy government emission reduction regulations while achieving the maximum economic benefits over the planning horizon.

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  • Khalilpour, Rajab, 2014. "Multi-level investment planning and scheduling under electricity and carbon market dynamics: Retrofit of a power plant with PCC (post-combustion carbon capture) processes," Energy, Elsevier, vol. 64(C), pages 172-186.
    • Handle: RePEc:eee:energy:v:64:y:2014:i:c:p:172-186
    DOI: 10.1016/j.energy.2013.10.086
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    2. Brodrick, Philip G. & Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J., 2015. "Optimization of carbon-capture-enabled coal-gas-solar power generation," Energy, Elsevier, vol. 79(C), pages 149-162.
    3. Kang, Charles A. & Brandt, Adam R. & Durlofsky, Louis J. & Jayaweera, Indira, 2016. "Assessment of advanced solvent-based post-combustion CO2 capture processes using a bi-objective optimization technique," Applied Energy, Elsevier, vol. 179(C), pages 1209-1219.
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    6. Yang, Yu & Liu, Jing & Shen, Weifeng & Li, Jie & Chien, I-Lung, 2018. "High-efficiency utilization of CO2 in the methanol production by a novel parallel-series system combining steam and dry methane reforming," Energy, Elsevier, vol. 158(C), pages 820-829.
    7. Abdul Manaf, Norhuda & Qadir, Abdul & Abbas, Ali, 2016. "Temporal multiscalar decision support framework for flexible operation of carbon capture plants targeting low-carbon management of power plant emissions," Applied Energy, Elsevier, vol. 169(C), pages 912-926.
    8. He, Senyu & Yin, Jianhua & Zhang, Bin & Wang, Zhaohua, 2018. "How to upgrade an enterprise’s low-carbon technologies under a carbon tax: The trade-off between tax and upgrade fee," Applied Energy, Elsevier, vol. 227(C), pages 564-573.
    9. Aliyon, Kasra & Rajaee, Fatemeh & Ritvanen, Jouni, 2023. "Use of artificial intelligence in reducing energy costs of a post-combustion carbon capture plant," Energy, Elsevier, vol. 278(PA).

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