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Hydrogen distribution in the refinery using mathematical modeling

Author

Listed:
  • Kumar, A.
  • Gautami, G.
  • Khanam, S.

Abstract

The increased requirement of hydrogen in the refinery is fulfilled by proper distribution of available hydrogen in the refinery, using additional hydrogen production system and by importing. Amongst these options first one is cost effective as no addition source is required. Thus, the present paper deals with optimum distribution of hydrogen. For this purpose mathematical models are developed based on pressure constraints, source and sinks constraints, compressor flow rate recycle and purity constraints, flow combinations, hydrogen consumption, operating cost, capital cost, payback period etc. The model is developed in stages to show the improvements.

Suggested Citation

  • Kumar, A. & Gautami, G. & Khanam, S., 2010. "Hydrogen distribution in the refinery using mathematical modeling," Energy, Elsevier, vol. 35(9), pages 3763-3772.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:9:p:3763-3772
    DOI: 10.1016/j.energy.2010.05.025
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    Citations

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    Cited by:

    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. 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.
    3. Hessam Golmohamadi & Amin Asadi, 2020. "Integration of Joint Power-Heat Flexibility of Oil Refinery Industries to Uncertain Energy Markets," Energies, MDPI, vol. 13(18), pages 1-25, September.
    4. Jia, Nan & Zhang, Nan, 2011. "Multi-component optimisation for refinery hydrogen networks," Energy, Elsevier, vol. 36(8), pages 4663-4670.
    5. 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.
    6. 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.
    7. 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.
    8. Johansson, Daniella & Franck, Per-Åke & Berntsson, Thore, 2012. "Hydrogen production from biomass gasification in the oil refining industry – A system analysis," Energy, Elsevier, vol. 38(1), pages 212-227.
    9. 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).
    10. Bandyopadhyay, Rajarshi & Alkilde, Ole Frej & Menjon, Ian & Meyland, Lene Have & Sahlertz, Iggy Vincent, 2019. "Statistical analysis of variation of economic parameters affecting different configurations of diesel hydrotreating unit," Energy, Elsevier, vol. 183(C), pages 702-715.
    11. Shukla, Gaurav & Chaturvedi, Nitin Dutt, 2023. "Targeting compression work in hydrogen allocation network with parametric uncertainties," Energy, Elsevier, vol. 262(PA).

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