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Parametric Study and Optimization of Hydrogen Production Systems Based on Solar/Wind Hybrid Renewable Energies: A Case Study in Kuqa, China

Author

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  • Tianqi Yang

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China)

  • Xianglin Yan

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China)

  • Wenchao Cai

    (VOYAH Automobile Technology Co., Ltd., Wuhan 430050, China)

  • Hao Luo

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China)

  • Nianfeng Xu

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China)

  • Liang Tong

    (State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China
    School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Fei Yan

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China)

  • Richard Chahine

    (Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada)

  • Jinsheng Xiao

    (Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan 430070, China
    State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan 430063, China
    Hydrogen Research Institute, Université du Québec à Trois-Rivières, Trois-Rivières, QC G8Z 4M3, Canada)

Abstract

Based on the concept of sustainable development, to promote the development and application of renewable energy and enhance the capacity of renewable energy consumption, this paper studies the design and optimization of renewable energy hydrogen production systems. For this paper, six different scenarios for grid-connected and off-grid renewable energy hydrogen production systems were designed and analyzed economically and technically, and the optimal grid-connected and off-grid systems were selected. Subsequently, the optimal system solution was optimized by analyzing the impact of the load data and component capacity on the grid dependency of the grid-connected hydrogen production system and the excess power rate of the off-grid hydrogen production system. Based on the simulation results, the most matched load data and component capacity of different systems after optimization were determined. The grid-supplied power of the optimized grid-connected hydrogen production system decreased by 3347 kWh, and the excess power rate of the off-grid hydrogen production system decreased from 38.6% to 10.3%, resulting in a significant improvement in the technical and economic performance of the system.

Suggested Citation

  • Tianqi Yang & Xianglin Yan & Wenchao Cai & Hao Luo & Nianfeng Xu & Liang Tong & Fei Yan & Richard Chahine & Jinsheng Xiao, 2024. "Parametric Study and Optimization of Hydrogen Production Systems Based on Solar/Wind Hybrid Renewable Energies: A Case Study in Kuqa, China," Sustainability, MDPI, vol. 16(2), pages 1-21, January.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:2:p:896-:d:1323112
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    References listed on IDEAS

    as
    1. Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    2. Ghandehariun, Samane & Ghandehariun, Amir M. & Ziabari, Nima Bahrami, 2023. "Performance prediction and optimization of a hybrid renewable-energy-based multigeneration system using machine learning," Energy, Elsevier, vol. 282(C).
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    1. Ayiguzhali Tuluhong & Qingpu Chang & Lirong Xie & Zhisen Xu & Tengfei Song, 2024. "Current Status of Green Hydrogen Production Technology: A Review," Sustainability, MDPI, vol. 16(20), pages 1-47, October.

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