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Graphical method for identifying the optimal purification process of hydrogen systems

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  • Yang, Minbo
  • Feng, Xiao
  • Chu, Khim Hoong
  • Liu, Guilian

Abstract

Introducing purification devices into hydrogen systems can enhance the extent of hydrogen reuse. However, the economic performance of a purification device depends on its appropriate placement within a hydrogen system. Based on some established graphical methods, this paper explores the influences of the feed concentration on the purification process. A simple and systematic graphical method is proposed for identifying the OPP (optimal purification process) by extending the well-known pinch technology method. The proposed method can determine the OPP with the minimum feed flow rate and minimum tail gas flow rate under the condition of maximizing the HUS (hydrogen utility savings). The corresponding feed streams of the OPP also can be identified easily in the purification polygon. Furthermore, the conception of minimum separation work is used to compare different purification processes. A realistic case study is used to illustrate the applicability of the proposed method. Three different scenarios are analyzed and the results show that notable reductions in the minimum separation work consumption can be achieved (22%, 34% and 16% for the three scenarios).

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:73:y:2014:i:c:p:829-837
    DOI: 10.1016/j.energy.2014.06.089
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    References listed on IDEAS

    as
    1. 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.
    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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    5. Kumar, A. & Gautami, G. & Khanam, S., 2010. "Hydrogen distribution in the refinery using mathematical modeling," Energy, Elsevier, vol. 35(9), pages 3763-3772.
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    Cited by:

    1. Priya, G.S. Krishna & Bandyopadhyay, Santanu, 2017. "Multiple objectives Pinch Analysis," Resources, Conservation & Recycling, Elsevier, vol. 119(C), pages 128-141.
    2. 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).
    3. Dai, Wang & Shen, Renjie & Zhang, Di & Liu, Guilian, 2017. "The integration based method for identifying the variation trend of fresh hydrogen consumption and optimal purification feed," Energy, Elsevier, vol. 119(C), pages 732-743.
    4. 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.

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