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Multi-objective thermo-economic optimization of Collins cycle

Author

Listed:
  • Chen, Shuhang
  • Liu, Dongli
  • Li, Sizhuo
  • Gan, Zhihua
  • Qiu, Min

Abstract

Many large scientific projects are emerging worldwide with the development of high energy physics nowadays. The indispensable subsystem, helium cryo-plants for such projects require extremely high energy consumption and total annual cost (TAC). In order to reduce energy consumption and TAC, multi-objective thermo-economic optimization that adopted non-dominated sorting genetic algorithm-II (NSGA-II) for helium cryo-plants is proposed in this work. As a typical helium liquefaction cycle, Collins cycle is selected as the optimization object. Both the exergetic efficiency (ηEx) and the TAC are set as objective parameters. The decision parameters, which include discharge pressure of compressor, flow fraction of expanders and effectiveness of heat exchangers, are optimized simultaneously. Linear programming technology of multidimensional analysis preference (LINMAP) is utilized as an example to select the optimal solution from the multi-objective optimization results. Compared to the maximum ηEx result, the LINMAP result reduces the TAC by 23.95% at the cost of 9.03% reduction in ηEx. In the proposed approach, eight decision parameters can be optimized simultaneously and the designed cryo-plant considers both economic and thermodynamic criteria, which is feasible for practical engineering project. Besides, alternative solution under limited investment situation is provided.

Suggested Citation

  • Chen, Shuhang & Liu, Dongli & Li, Sizhuo & Gan, Zhihua & Qiu, Min, 2022. "Multi-objective thermo-economic optimization of Collins cycle," Energy, Elsevier, vol. 239(PD).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pd:s0360544221025172
    DOI: 10.1016/j.energy.2021.122269
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    References listed on IDEAS

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    1. Wang, Yongli & Ma, Yuze & Song, Fuhao & Ma, Yang & Qi, Chengyuan & Huang, Feifei & Xing, Juntai & Zhang, Fuwei, 2020. "Economic and efficient multi-objective operation optimization of integrated energy system considering electro-thermal demand response," Energy, Elsevier, vol. 205(C).
    2. Cammarata, G. & Fichera, A. & Guglielmino, D., 2001. "Optimization of a liquefaction plant using genetic algorithms," Applied Energy, Elsevier, vol. 68(1), pages 19-29, January.
    3. Emadi, Mohammad Ali & Chitgar, Nazanin & Oyewunmi, Oyeniyi A. & Markides, Christos N., 2020. "Working-fluid selection and thermoeconomic optimisation of a combined cycle cogeneration dual-loop organic Rankine cycle (ORC) system for solid oxide fuel cell (SOFC) waste-heat recovery," Applied Energy, Elsevier, vol. 261(C).
    4. Pavão, L.V. & Costa, C.B.B. & Ravagnani, M.A.S.S. & Jiménez, L., 2017. "Costs and environmental impacts multi-objective heat exchanger networks synthesis using a meta-heuristic approach," Applied Energy, Elsevier, vol. 203(C), pages 304-320.
    5. Soheyli, Saman & Shafiei Mayam, Mohamad Hossein & Mehrjoo, Mehri, 2016. "Modeling a novel CCHP system including solar and wind renewable energy resources and sizing by a CC-MOPSO algorithm," Applied Energy, Elsevier, vol. 184(C), pages 375-395.
    6. You, Xinqiang & Rodriguez-Donis, Ivonne & Gerbaud, Vincent, 2016. "Reducing process cost and CO2 emissions for extractive distillation by double-effect heat integration and mechanical heat pump," Applied Energy, Elsevier, vol. 166(C), pages 128-140.
    7. Aminmahalati, Alireza & Fazlali, Alireza & Safikhani, Hamed, 2021. "Multi-objective optimization of CO boiler combustion chamber in the RFCC unit using NSGA II algorithm," Energy, Elsevier, vol. 221(C).
    8. Song, Zhihui & Liu, Tao & Lin, Qizhao, 2020. "Multi-objective optimization of a solar hybrid CCHP system based on different operation modes," Energy, Elsevier, vol. 206(C).
    9. Hu, Xiao & Zhang, Heng & Chen, Dongwen & Li, Yong & Wang, Li & Zhang, Feng & Cheng, Haozhong, 2020. "Multi-objective planning for integrated energy systems considering both exergy efficiency and economy," Energy, Elsevier, vol. 197(C).
    10. Thomas, Rijo Jacob & Ghosh, Parthasarathi & Chowdhury, Kanchan, 2012. "Application of exergy analysis in designing helium liquefiers," Energy, Elsevier, vol. 37(1), pages 207-219.
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    2. Chen, Shuhang & Qiu, Changxu & Shen, Yunwei & Tao, Xuan & Gan, Zhihua, 2024. "Thermodynamic and economic analysis of new coupling processes with large-scale hydrogen liquefaction process and liquid air energy storage," Energy, Elsevier, vol. 286(C).
    3. Zou, Zhongyu & Zhu, Zhigang & Zhang, Qiyong & Yang, Pengcheng & Luo, Hao, 2025. "Experimental investigation on the thermal-hydraulic performance of serrated fins and novel serrated-perforated fins for PFHEs in cryogenic helium systems," Energy, Elsevier, vol. 330(C).
    4. Ding, Xingqi & Duan, Liqiang & Zheng, Nan & Desideri, Umberto & Zhou, Yufei & Wang, Qiushi & Wang, Yuanhui & Jiao, Weijia, 2025. "A systematic review on liquid air energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
    5. Zubi, Ghassan & Kuhn, Maximilian & Makridis, Sofoklis & Coutinho, Savio & Dorasamy, Stanley, 2025. "Aviation sector decarbonization within the hydrogen economy – A UAE case study," Energy Policy, Elsevier, vol. 198(C).

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