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Research on optimization layout of hydrogen refueling facility network based on renewable energy hydrogen production mode

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  • Gao, Jianwei
  • Wu, Haoyu
  • Chen, Li
  • Meng, Qichen
  • Liu, Jiangtao

Abstract

Within the transportation sector, hydrogen fuel cell vehicles represent the most efficient method of harnessing hydrogen energy. The establishment of a hydrogen refueling facility network that encompasses the entire cycle of hydrogen energy production, transportation, and application contributes to the effective promotion of hydrogen fuel cell vehicles. However, existing research predominantly focuses on hydrogen production and the conversion of refueling stations, neglecting the economic and stability considerations of the full-cycle use of hydrogen energy. This study proposes a hydrogen refueling facility network planning model that utilizes hydrogen energy throughout its full cycle. Firstly, a hydrogen demand estimation model based on the application scenarios of hydrogen fuel cell vehicles which clarifies the hydrogen requirements in each scenario is proposed. Regional hydrogen energy needs and the costs of building hydrogen refueling stations are then considered, using a set cover model to optimize the overall layout of existing and new refueling stations. Finally, taking into account the supply costs of renewable energy hydrogen production points and regional supply stability, a hydrogen refueling facility network planning model is constructed. The Beijing-Tianjin-Hebei region is selected as a case study, establishing a large-scale hydrogen supply network based on renewable energy hydrogen production, transportation, and usage.

Suggested Citation

  • Gao, Jianwei & Wu, Haoyu & Chen, Li & Meng, Qichen & Liu, Jiangtao, 2024. "Research on optimization layout of hydrogen refueling facility network based on renewable energy hydrogen production mode," Energy, Elsevier, vol. 296(C).
    • Handle: RePEc:eee:energy:v:296:y:2024:i:c:s0360544224009393
    DOI: 10.1016/j.energy.2024.131166
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    References listed on IDEAS

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    3. Zhang, Xingyin & Zhang, Huan & Zhang, Libo & Du, Lin & Wang, Qunwei & Zhou, Dequn, 2025. "Layout optimization of the hydrogen network orienting towards hydrogen production from offshore wind power," Energy, Elsevier, vol. 336(C).
    4. Basnet, Sarad & Deschinkel, Karine & Le Moyne, Luis & Cécile Péra, Marie, 2026. "Cost-optimal hydrogen refueling scheduling for bus fleet in a grid-connected hybrid renewable energy system," Applied Energy, Elsevier, vol. 404(C).
    5. Handayani, Warsini & Zhu, Xuan & Cooke, Fang Lee, 2026. "Hydrogen demand estimation for sustainable transport: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 225(C).
    6. Ren, Peng & Dong, Yingchao & Zhang, Hongli & Wang, Jin & Fan, Xiaochao, 2025. "A unified robust planning framework for hydrogen energy multi-scale regulation of integrated energy system," Energy, Elsevier, vol. 314(C).
    7. Hu, Yuanweiji & Yang, Bo & He, Bin & Li, Hongbiao & Gao, Dengke & Wang, Jingbo & Jiang, Lin, 2026. "Optimal operation and planning of hydrogen refueling stations for hydrogen fuel cell vehicles: A typical techno-economic-environmental paradigm," Renewable Energy, Elsevier, vol. 256(PG).

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