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Thermodynamic principle based work exchanger network integration for cost-effective refinery hydrogen networks

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  • Zhang, Qiao
  • Yang, Sen
  • Feng, Xiao

Abstract

Work exchanger network (WEN) integration is crucial way to conserve energy for gas networks. Refinery hydrogen allocation network (HAN) determines its work sources and sinks of hydrogen streams and even WEN. Hydrogen gas streams are always non-ideal and there is also energy loss in their pressurization and depressurization processes through direct work exchangers. Based on thermodynamic principles for gas property and work exchange through compressors, expanders and direct work exchangers, this paper proposes a novel methodology for cost-effective refinery hydrogen networks. A stage-wise superstructure consisting of hydrogen allocation network (HAN) and work exchanger network (WEN) is built as problem illustration and the corresponding mixed integer nonlinear programming (MINLP) models for HAN and WEN are formulated to successively perform mass and work networks integration for total annualized cost (TAC) minimization. A refinery case is studied and results show that WEN can conserve 27.4% power utility consumption and reduce 50.9% investment cost. Case study results comparison demonstrates that the consideration of thermodynamic principles is of great significance to real-world energy conservation and investment cost reduction of WEN.

Suggested Citation

  • Zhang, Qiao & Yang, Sen & Feng, Xiao, 2021. "Thermodynamic principle based work exchanger network integration for cost-effective refinery hydrogen networks," Energy, Elsevier, vol. 230(C).
    • Handle: RePEc:eee:energy:v:230:y:2021:i:c:s0360544221011014
    DOI: 10.1016/j.energy.2021.120853
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    References listed on IDEAS

    as
    1. Liu, Guilian & Zhou, Hua & Shen, Renjie & Feng, Xiao, 2014. "A graphical method for integrating work exchange network," Applied Energy, Elsevier, vol. 114(C), pages 588-599.
    2. Deng, Chun & Zhu, Meiqian & Zhou, Yuhang & Feng, Xiao, 2018. "Novel conceptual methodology for hydrogen network design with minimum compression work," Energy, Elsevier, vol. 159(C), pages 203-215.
    3. Wu, Sidong & Yu, Zemiao & Feng, Xiao & Liu, Guilian & Deng, Chun & Chu, Khim Hoong, 2013. "Optimization of refinery hydrogen distribution systems considering the number of compressors," Energy, Elsevier, vol. 62(C), pages 185-195.
    4. Huang, Kefeng & Karimi, I.A., 2016. "Work-heat exchanger network synthesis (WHENS)," Energy, Elsevier, vol. 113(C), pages 1006-1017.
    5. Deng, Chun & Zhou, Yuhang & Chen, Cheng-Liang & Feng, Xiao, 2015. "Systematic approach for targeting interplant hydrogen networks," Energy, Elsevier, vol. 90(P1), pages 68-88.
    6. Santos, Lucas F. & Costa, Caliane B.B. & Caballero, José A. & Ravagnani, Mauro A.S.S., 2020. "Synthesis and optimization of work and heat exchange networks using an MINLP model with a reduced number of decision variables," Applied Energy, Elsevier, vol. 262(C).
    7. Liu, Xuepeng & Liu, Jian & Deng, Chun & Lee, Jui-Yuan & Tan, Raymond R., 2020. "Synthesis of refinery hydrogen network integrated with hydrogen turbines for power recovery," Energy, Elsevier, vol. 201(C).
    8. Yang, Minbo & Feng, Xiao & Chu, Khim Hoong & Liu, Guilian, 2014. "Graphical method for identifying the optimal purification process of hydrogen systems," Energy, Elsevier, vol. 73(C), pages 829-837.
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    Cited by:

    1. Yang, Yang & Zhang, Qiao & Feng, Xiao, 2023. "Comprehensive integration of mass and energy utilization for refinery and synthetic plant of chemicals," Energy, Elsevier, vol. 265(C).

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