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Exergy analysis-based operating parameter optimization for hydrogen energy hub

Author

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  • Zhu, Mengshu
  • Cui, Shichang
  • Fang, Jiakun
  • Zhong, Zhiyao
  • Li, Kun
  • Ai, Xiaomeng
  • Wu, Kejing
  • Liang, Bin
  • Wen, Jinyu

Abstract

This paper focuses on the exergy analysis-based operation optimization of a hydrogen energy hub (HEH). The HEH integrates water electrolysis, biomass gasification, and natural gas reforming to achieve stable and green hydrogen. To address the limitation that conventional energy system modeling generally focuses solely on energy quantity while ignoring energy quality, the exergy principle is introduced to effectively capture available part of energy so as to comprehensively assess the HEH’s performance in terms of both quantity and quality of energy and provide guidelines for operation. In this regard, a complete assessment through energy and exergy analyses of the proposed system and all its subcomponents is performed to evaluate the exergy destruction of the system and its major subcomponents. Accordingly, an optimization model based on exergy analysis is proposed for HEH to determine the operating parameters to minimize the overall exergy destruction. To achieve substantial energy savings, the utilization of high-quality energy is further investigated, such as the generated power from the gas turbine. Case studies validate the effectiveness of the proposed exergy analysis-based HEH model, operating parameter optimization, and high-quality energy recycling in energy structure adjustment, exergy destruction reduction, and energy saving, respectively.

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  • Zhu, Mengshu & Cui, Shichang & Fang, Jiakun & Zhong, Zhiyao & Li, Kun & Ai, Xiaomeng & Wu, Kejing & Liang, Bin & Wen, Jinyu, 2025. "Exergy analysis-based operating parameter optimization for hydrogen energy hub," Applied Energy, Elsevier, vol. 385(C).
  • Handle: RePEc:eee:appene:v:385:y:2025:i:c:s0306261925002211
    DOI: 10.1016/j.apenergy.2025.125491
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    1. La Villetta, M. & Costa, M. & Massarotti, N., 2017. "Modelling approaches to biomass gasification: A review with emphasis on the stoichiometric method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 71-88.
    2. Sansaniwal, S.K. & Pal, K. & Rosen, M.A. & Tyagi, S.K., 2017. "Recent advances in the development of biomass gasification technology: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 363-384.
    3. Choe, Changgwon & Haider, Junaid & Lim, Hankwon, 2023. "Carbon capture and liquefaction from methane steam reforming unit: 4E’s analysis (Energy, Exergy, Economic, and Environmental)," Applied Energy, Elsevier, vol. 332(C).
    4. Wang, Yongli & Huang, Feifei & Tao, Siyi & Ma, Yang & Ma, Yuze & Liu, Lin & Dong, Fugui, 2022. "Multi-objective planning of regional integrated energy system aiming at exergy efficiency and economy," Applied Energy, Elsevier, vol. 306(PB).
    5. Yang, Weijia & Huang, Yuping & Zhang, Tianren & Zhao, Daiqing, 2023. "Mechanism and analytical methods for carbon emission-exergy flow distribution in heat-electricity integrated energy system," Applied Energy, Elsevier, vol. 352(C).
    6. Puig-Arnavat, Maria & Bruno, Joan Carles & Coronas, Alberto, 2010. "Review and analysis of biomass gasification models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2841-2851, December.
    7. Zhu, Mengshu & Ai, Xiaomeng & Fang, Jiakun & Cui, Shichang & Wu, Kejing & Zheng, Lufan & Wen, Jinyu, 2024. "Optimal scheduling of hydrogen energy hub for stable demand with uncertain photovoltaic and biomass," Applied Energy, Elsevier, vol. 360(C).
    8. Razi, Faran & Dincer, Ibrahim & Gabriel, Kamiel, 2020. "Energy and exergy analyses of a new integrated thermochemical copper-chlorine cycle for hydrogen production," Energy, Elsevier, vol. 205(C).
    9. Liu, Jia & Chen, Xi & Yang, Hongxing & Li, Yutong, 2020. "Energy storage and management system design optimization for a photovoltaic integrated low-energy building," Energy, Elsevier, vol. 190(C).
    10. Qureshy, Ali M.M.I. & Dincer, Ibrahim, 2020. "Energy and exergy analyses of an integrated renewable energy system for hydrogen production," Energy, Elsevier, vol. 204(C).
    11. Li, Jiaxi & Wang, Dan & Jia, Hongjie & Lei, Yang & Zhou, Tianshuo & Guo, Ying, 2022. "Mechanism analysis and unified calculation model of exergy flow distribution in regional integrated energy system," Applied Energy, Elsevier, vol. 324(C).
    12. Behzadi, Amirmohammad & Habibollahzade, Ali & Ahmadi, Pouria & Gholamian, Ehsan & Houshfar, Ehsan, 2019. "Multi-objective design optimization of a solar based system for electricity, cooling, and hydrogen production," Energy, Elsevier, vol. 169(C), pages 696-709.
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