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Flexibility Value of Multimodal Hydrogen Energy Utilization in Electric–Hydrogen–Thermal Systems

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  • Changcheng Li

    (Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
    Hubei Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan 430068, China)

  • Haoran Li

    (Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China)

  • Hao Yue

    (State Grid Jibei Electric Power Economic Research Institute, Beijing 100038, China)

  • Jinfeng Lv

    (Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China)

  • Jian Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 100096, China)

Abstract

Hydrogen energy is now a crucial technological option for decarbonizing energy systems. Comprehensive utilization is a typical mode of hydrogen energy deployment, leveraging its excellent conversion capabilities. Hydrogen is often used in combination with electrical and thermal energy. However, current hydrogen utilization modes are relatively singular, resulting in low energy utilization efficiency and high wind curtailment rates. To improve energy utilization efficiency and promote the development of hydrogen energy, we discuss three utilization modes of hydrogen energy, including hydrogen storage, integration into a fuel cell and gas turbine hybrid power generation system, and hydrogen methanation. We propose a hydrogen energy system with multimodal utilization and integrate it into an electrolytic hydrogen–thermal integrated energy system (EHT-IES). A mixed-integer linear programming (MILP) optimization scheduling model for the EHT-IES is developed and solved using the Cplex solver to improve the operational feasibility of the EHT-IES, focusing on minimizing economic costs and reducing wind curtailment rates. Case studies in northwest China verify the effectiveness of the proposed model. By comparing various utilization modes, energy storage methods, and scenarios, this study demonstrated that integrating a hydrogen energy system with multimodal utilization into the EHT-IES offers significant technical benefits. It enhances energy utilization efficiency and promotes the absorption of wind energy, thereby increasing the flexibility of the EHT-IES.

Suggested Citation

  • Changcheng Li & Haoran Li & Hao Yue & Jinfeng Lv & Jian Zhang, 2024. "Flexibility Value of Multimodal Hydrogen Energy Utilization in Electric–Hydrogen–Thermal Systems," Sustainability, MDPI, vol. 16(12), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:4939-:d:1411569
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    References listed on IDEAS

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    1. McPherson, Madeleine & Johnson, Nils & Strubegger, Manfred, 2018. "The role of electricity storage and hydrogen technologies in enabling global low-carbon energy transitions," Applied Energy, Elsevier, vol. 216(C), pages 649-661.
    2. Yin, Linfei & Tao, Min, 2023. "Balanced broad learning prediction model for carbon emissions of integrated energy systems considering distributed ground source heat pump heat storage systems and carbon capture & storage," Applied Energy, Elsevier, vol. 329(C).
    3. Erdem Cuce & Pinar Mert Cuce & Shaik Saboor & Aritra Ghosh & Yahya Sheikhnejad, 2022. "Floating PVs in Terms of Power Generation, Environmental Aspects, Market Potential, and Challenges," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    4. Pan, Guangsheng & Gu, Wei & Qiu, Haifeng & Lu, Yuping & Zhou, Suyang & Wu, Zhi, 2020. "Bi-level mixed-integer planning for electricity-hydrogen integrated energy system considering levelized cost of hydrogen," Applied Energy, Elsevier, vol. 270(C).
    5. Turk, Ana & Wu, Qiuwei & Zhang, Menglin & Østergaard, Jacob, 2020. "Day-ahead stochastic scheduling of integrated multi-energy system for flexibility synergy and uncertainty balancing," Energy, Elsevier, vol. 196(C).
    6. Wang, Xuejie & Li, Bingkang & Wang, Yuwei & Lu, Hao & Zhao, Huiru & Xue, Wanlei, 2022. "A bargaining game-based profit allocation method for the wind-hydrogen-storage combined system," Applied Energy, Elsevier, vol. 310(C).
    7. Kavadias, K.A. & Apostolou, D. & Kaldellis, J.K., 2018. "Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network," Applied Energy, Elsevier, vol. 227(C), pages 574-586.
    8. Mohammadreza Asadbeigi & Farzad Ghafoorian & Mehdi Mehrpooya & Sahel Chegini & Azad Jarrahian, 2023. "A 3D Study of the Darrieus Wind Turbine with Auxiliary Blades and Economic Analysis Based on an Optimal Design from a Parametric Investigation," Sustainability, MDPI, vol. 15(5), pages 1-31, March.
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