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Feasibility study on rooftop photovoltaic hydrogen production: Multi-objective optimization and energy scheduling strategy considering time-of-use pricing

Author

Listed:
  • Du, Qi
  • Guo, Wenhao
  • Mo, Shuqin
  • Wang, Yanan
  • Qin, Tuanfa
  • Zhu, Binxin
  • Zheng, Hanbo

Abstract

The construction of rooftop photovoltaic plays a significant role in promoting the optimization and upgrading of the energy structure of the park. To enhance the efficiency utilization of rooftop photovoltaic energy, a capacity optimization configuration method for the photovoltaic-storage batteries-hydrogen coupling system (PBHS) considering the time-of-use price is proposed. This article aims to construct a comprehensive multi-objective optimization configuration model by simultaneously considering the two core objectives of minimizing equal annual investment costs and minimizing annual carbon emissions. A non-dominated sorting genetic algorithm based on elite strategy (NSGA-II) is introduced as an effective tool for solving mathematical models. Finally, by comparing the proposed scheme with the traditional hybrid photovoltaic energy storage scheme, the proposed plan achieved a significant reduction of 7.7 % in annual investment costs and a 15.16 % reduction in annual carbon emissions. This article provides valuable insights to the in-depth development of rooftop photovoltaic hydrogen production field.

Suggested Citation

  • Du, Qi & Guo, Wenhao & Mo, Shuqin & Wang, Yanan & Qin, Tuanfa & Zhu, Binxin & Zheng, Hanbo, 2025. "Feasibility study on rooftop photovoltaic hydrogen production: Multi-objective optimization and energy scheduling strategy considering time-of-use pricing," Renewable Energy, Elsevier, vol. 245(C).
    • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004884
    DOI: 10.1016/j.renene.2025.122826
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    References listed on IDEAS

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    1. Wang, Ningbo & Guo, Yanhua & Liu, Lu & Shao, Shuangquan, 2024. "Numerical assessment and optimization of photovoltaic-based hydrogen-oxygen Co-production energy system: A machine learning and multi-objective strategy," Renewable Energy, Elsevier, vol. 227(C).
    2. Gao, Chong & Lin, Junjie & Zeng, Jianfeng & Han, Fengwu, 2022. "Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on copula-MILP," Applied Energy, Elsevier, vol. 328(C).
    3. Kamalakannan, N. & Vinothkumar, M., 2024. "Marine predators algorithm with deep learning based solar photovoltaic system modelling and optimization of green hydrogen production," Renewable Energy, Elsevier, vol. 232(C).
    4. Sui, Jiyuan & Chen, Zhennan & Wang, Chen & Wang, Yueyang & Liu, Jianhong & Li, Wenjia, 2020. "Efficient hydrogen production from solar energy and fossil fuel via water-electrolysis and methane-steam-reforming hybridization," Applied Energy, Elsevier, vol. 276(C).
    5. Keiner, Dominik & Thoma, Christian & Bogdanov, Dmitrii & Breyer, Christian, 2023. "Seasonal hydrogen storage for residential on- and off-grid solar photovoltaics prosumer applications: Revolutionary solution or niche market for the energy transition until 2050?," Applied Energy, Elsevier, vol. 340(C).
    6. Bicer, Yusuf & Sprotte, André Felipe Vitorio & Dincer, Ibrahim, 2017. "Concentrated solar light splitting using cold mirrors for photovoltaics and photonic hydrogen production applications," Applied Energy, Elsevier, vol. 197(C), pages 169-182.
    7. Mi, Peiyuan & Zhang, Jili & Gao, Jin & Han, Youhua, 2023. "Study on optimal allocation of solar photovoltaic thermal heat pump integrated energy system for domestic hot water," Renewable Energy, Elsevier, vol. 219(P1).
    8. 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).
    9. K/bidi, Fabrice & Damour, Cedric & Grondin, Dominique & Hilairet, Mickaël & Benne, Michel, 2022. "Multistage power and energy management strategy for hybrid microgrid with photovoltaic production and hydrogen storage," Applied Energy, Elsevier, vol. 323(C).
    10. Bornapour, Mosayeb & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin & Parastegari, Moein, 2017. "Optimal stochastic coordinated scheduling of proton exchange membrane fuel cell-combined heat and power, wind and photovoltaic units in micro grids considering hydrogen storage," Applied Energy, Elsevier, vol. 202(C), pages 308-322.
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    1. Zheng, Hanbo & Wang, Yanan & Du, Qi & Wang, Shusheng & Li, Zhe & Zhu, Binxin & Qin, Tuanfa, 2026. "An advanced moving horizon framework for state of charge estimation in lithium-ion battery," Renewable Energy, Elsevier, vol. 256(PD).

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