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Optimization of refinery hydrogen distribution systems considering the number of compressors

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Listed:
  • Wu, Sidong
  • Yu, Zemiao
  • Feng, Xiao
  • Liu, Guilian
  • Deng, Chun
  • Chu, Khim Hoong

Abstract

Growing hydrogen demands in oil refining are forcing many refiners to optimize their hydrogen distribution networks in order to address the demands without incurring excessive energy consumption, capital investment and operating costs. In addition to the use of hydrogen utility, the foremost consumption of energy is the compression power. In order to express hydrogen consumption and compression power on a common basis, this study uses the convention of “exergy standard” in the optimization of hydrogen distribution networks. Besides, the optimization of hydrogen networks should also minimize the number of hydrogen compressors, which are among the most expensive devices in a refinery. Consequently, two mathematical models are proposed for hydrogen distribution network synthesis. A sequential optimization strategy is utilized to determine the targets of total exergy consumption and number of compressors. In addition, several practical strategies for compressor combination are introduced which can further reduce the number of compressors. The proposed methodology can be applied to hydrogen networks with either the flowrate constraint or the pure hydrogen load constraint imposed on sink streams. The applicability and effectiveness of the proposed methodology are illustrated by two case studies.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:62:y:2013:i:c:p:185-195
    DOI: 10.1016/j.energy.2013.09.041
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    References listed on IDEAS

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    1. Kumar, A. & Gautami, G. & Khanam, S., 2010. "Hydrogen distribution in the refinery using mathematical modeling," Energy, Elsevier, vol. 35(9), pages 3763-3772.
    2. Jia, Nan & Zhang, Nan, 2011. "Multi-component optimisation for refinery hydrogen networks," Energy, Elsevier, vol. 36(8), pages 4663-4670.
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    Cited by:

    1. 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.
    2. Ippolito, M.G. & Di Silvestre, M.L. & Riva Sanseverino, E. & Zizzo, G. & Graditi, G., 2014. "Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios," Energy, Elsevier, vol. 64(C), pages 648-662.
    3. 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).
    4. Wang, Yufei & Wu, Sidong & Feng, Xiao & Deng, Chun, 2015. "An exergy-based approach for hydrogen network integration," Energy, Elsevier, vol. 86(C), pages 514-524.
    5. 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).

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