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Operational optimization for part-load performance of amine-based post-combustion CO2 capture processes

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  • Oh, Se-Young
  • Kim, Jin-Kuk

Abstract

It is typical to assume that the capture system operates at the full working load of the power plant. This study aims to develop systematic design framework which can provide a cost-effective strategy for operating CO2 capture plant under different operating load. The part-load performance of CO2 capture process together with power plant is modeled and evaluated with a process simulator UniSim®. This study considers both natural gas-fired combined cycle (NGCC) and coal-fired plants, in which optimization is carried out for finding an economic operating strategy to minimize regeneration energy without compromising process efficiency of the capture system. The multi-period modeling approach is applied to accommodate discontinuous nature of part-load performance, with which techno-economic impacts of part-load operation is investigated in a holistic manner. The case study is presented to demonstrate the usefulness of proposed design and optimization framework and to provide practical guidelines and conceptual insights for part-load operation in practice. From the case study, the specific reboiler duty is reduced through the superstructure optimization at full-load operation, which is about 3% lower than one without structural modifications. Also, the operational optimization for part-load achieves energy savings by 2–3% in NGCC and 3–5% in coal-fired power plant.

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  • Oh, Se-Young & Kim, Jin-Kuk, 2018. "Operational optimization for part-load performance of amine-based post-combustion CO2 capture processes," Energy, Elsevier, vol. 146(C), pages 57-66.
    • Handle: RePEc:eee:energy:v:146:y:2018:i:c:p:57-66
    DOI: 10.1016/j.energy.2017.06.179
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    References listed on IDEAS

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    Cited by:

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    3. Han, Sung-Chul & Sung, Hail & Noh, Hye-Won & Mazari, Shaukat Ali & Moon, Jong-Ho & Kim, Kyung-Min, 2024. "Synergistic effect of blended amines on carbon dioxide absorption: Thermodynamic modeling and analysis of regeneration energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    4. Wang, Rujie & Liu, Shanshan & Wang, Lidong & Li, Qiangwei & Zhang, Shihan & Chen, Bo & Jiang, Lei & Zhang, Yifeng, 2019. "Superior energy-saving splitter in monoethanolamine-based biphasic solvents for CO2 capture from coal-fired flue gas," Applied Energy, Elsevier, vol. 242(C), pages 302-310.
    5. Wang, Rujie & Liu, Shanshan & Li, Qiangwei & Zhang, Shihan & Wang, Lidong & An, Shanlong, 2021. "CO2 capture performance and mechanism of blended amine solvents regulated by N-methylcyclohexyamine," Energy, Elsevier, vol. 215(PB).
    6. Choi, Jaeuk & Cho, Habin & Yun, Seokwon & Jang, Mun-Gi & Oh, Se-Young & Binns, Michael & Kim, Jin-Kuk, 2019. "Process design and optimization of MEA-based CO2 capture processes for non-power industries," Energy, Elsevier, vol. 185(C), pages 971-980.
    7. Wilkes, Mathew Dennis & Mukherjee, Sanjay & Brown, Solomon, 2021. "Transient CO2 capture for open-cycle gas turbines in future energy systems," Energy, Elsevier, vol. 216(C).
    8. Oh, Hyun-Taek & Ju, Youngsan & Chung, Kyounghee & Lee, Chang-Ha, 2020. "Techno-economic analysis of advanced stripper configurations for post-combustion CO2 capture amine processes," Energy, Elsevier, vol. 206(C).
    9. Fu, Wenfeng & Wang, Lanjing & Yang, Yongping, 2021. "Optimal design for double reheat coal-fired power plants with post-combustion CO2 capture: A novel thermal system integration with a carbon capture turbine," Energy, Elsevier, vol. 221(C).

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