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The integration based method for identifying the variation trend of fresh hydrogen consumption and optimal purification feed

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  • Dai, Wang
  • Shen, Renjie
  • Zhang, Di
  • Liu, Guilian

Abstract

Hydrogen purifier is widely used in refinery. In the view of hydrogen network integration, the Purification Feed Purity (PFP) and Purification Feed Flow Rate (PFFR) influence each other and should be optimized simultaneously. Based on the hydrogen network integration, a graphical method is developed for identifying the feasible purification feed region, the optimal purification feed and the variation trend of the fresh hydrogen consumption. With the quantitative relation between the limiting PFP and limiting PFFR analyzed, a diagram is built to identify the limiting line and feasible region of the purification feed. Furthermore, the relationship among the optimal PFP, optimal PFFR and the fresh hydrogen consumption is derived, and a two-dimensional diagram is developed to identify the variation trend line of the optimal PFP, the saved fresh hydrogen (or Hydrogen Utility Savings, HUS) and the pinch point along PFFR, as well as that of the optimal PFFR along PFP. Based on this, the optimal purification feed can be identified, as well as the maximum HUS. A case is studied to illustrate the applicability of the proposed method.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:energy:v:119:y:2017:i:c:p:732-743
    DOI: 10.1016/j.energy.2016.11.031
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    References listed on IDEAS

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    1. Umana, Blessing & Shoaib, Abeer & Zhang, Nan & Smith, Robin, 2014. "Integrating hydroprocessors in refinery hydrogen network optimisation," Applied Energy, Elsevier, vol. 133(C), pages 169-182.
    2. 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.
    3. Jia, Nan & Zhang, Nan, 2011. "Multi-component optimisation for refinery hydrogen networks," Energy, Elsevier, vol. 36(8), pages 4663-4670.
    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.
    5. Kumar, A. & Gautami, G. & Khanam, S., 2010. "Hydrogen distribution in the refinery using mathematical modeling," Energy, Elsevier, vol. 35(9), pages 3763-3772.
    6. 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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