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Two-Layer Optimization Planning Model for Integrated Energy Systems in Hydrogen Refueling Original Station

Author

Listed:
  • Mengxuan Yan

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China
    Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, China)

  • Shen-En Peng

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Chun Sing Lai

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China
    Brunel Interdisciplinary Power Systems Research Centre, Department of Electronic and Electrical Engineering, Brunel University London, London UB8 3PH, UK)

  • Si-Zhe Chen

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Jing Liu

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Junhua Xu

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Fangyuan Xu

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Loi Lei Lai

    (School of Automation, Guangdong University of Technology, Guangzhou 510006, China)

  • Gang Chen

    (Jiangmen Power Supply Bureau of Guangdong Power Grid Co., Ltd., Jiangmen 529000, China)

Abstract

With the aggravation of global environmental pollution problems and the need for energy restructuring, hydrogen energy, as a highly clean resource, has gradually become a hot spot for research in countries around the world. Facing the requirement of distributed hydrogen in refueling the original station for hydrogen transportation and other usage, this paper proposes a comprehensive energy system planning model for hydrogen refueling stations to obtain the necessary devices construction, the devices’ capacity decisions, and the optimal operation behaviors of each device. Comparing to traditional single hydrogen producing technics in the traditional planning model, the proposed model in this paper integrates both water-electrolysis-based and methanol-based manufacturing technics. A two-level optimization model is designed for this comprehensive system. The result of the numerical study shows that the proposed model can achieve a better optimal solution for distributed hydrogen production. Also, it considers the single producing situation when price of one primary resource is sufficient higher than the other.

Suggested Citation

  • Mengxuan Yan & Shen-En Peng & Chun Sing Lai & Si-Zhe Chen & Jing Liu & Junhua Xu & Fangyuan Xu & Loi Lei Lai & Gang Chen, 2023. "Two-Layer Optimization Planning Model for Integrated Energy Systems in Hydrogen Refueling Original Station," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7941-:d:1145517
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    References listed on IDEAS

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    1. Bos, M.J. & Kersten, S.R.A. & Brilman, D.W.F., 2020. "Wind power to methanol: Renewable methanol production using electricity, electrolysis of water and CO2 air capture," Applied Energy, Elsevier, vol. 264(C).
    2. Di Lu & Jing Sun & Yonggang Peng & Xiaofeng Chen, 2022. "Optimized Operation Plan for Hydrogen Refueling Station with On-Site Electrolytic Production," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
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    4. Schrotenboer, Albert H. & Veenstra, Arjen A.T. & uit het Broek, Michiel A.J. & Ursavas, Evrim, 2022. "A Green Hydrogen Energy System: Optimal control strategies for integrated hydrogen storage and power generation with wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
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    6. Jing Sun & Yonggang Peng & Di Lu & Xiaofeng Chen & Weifeng Xu & Liguo Weng & Jun Wu, 2022. "Optimized Configuration and Operating Plan for Hydrogen Refueling Station with On-Site Electrolytic Production," Energies, MDPI, vol. 15(7), pages 1-20, March.
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    Cited by:

    1. Ucok, Mehmet Doğan, 2026. "Advancing sustainable transport: Renewable energy integration in hydrogen refueling stations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PC).
    2. Wen, Ziyi & Zhang, Xian & Wang, Hong & Wang, Guibin & Wu, Ting & Qiu, Jing, 2025. "Low-carbon planning for integrated power-gas-hydrogen system with Wasserstein-distance based scenario generation method," Energy, Elsevier, vol. 316(C).
    3. Yao Yi & Z.Y. Sun & Bi-An Fu & Wen-Yu Tong & Rui-Song Huang, 2025. "Accelerating Towards Sustainability: Policy and Technology Dynamic Assessments in China’s Road Transport Sector," Sustainability, MDPI, vol. 17(8), pages 1-38, April.

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