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Technical and economic analysis of a hybrid PV/wind energy system for hydrogen refueling stations

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  • Li, Yingjie
  • Liu, Fang
  • Chen, Ke
  • Liu, Yinghui

Abstract

In recent years, the construction of hydrogen refueling stations (HRSs) has been in full swing. However, irrational configuration and design can increase the operation and maintenance costs of HRSs and reduce their overall energy conversion efficiency. This paper introduces the configuration optimization of a hybrid PV/wind energy system for hydrogen refueling stations. Firstly, the distribution of hydrogen refueling demand of hydrogen fuel cell vehicles (HFCVs) in different time periods was simulated by the Monte Carlo method according to the driving rules of HFCVs. Then a model of renewable energy HRS was established in Homer, the purpose is to provide energy supply service for HFCVs through hydrogen production by electrolysis of water from renewable energy generation. Based on this, a load demand response model is developed. Finally, the best system configuration under different scenarios is obtained with the objective of minimizing the total net present cost (NPC). Through simulation calculations, the results show that the system configuration is more economically feasible after considering the demand response. The best system configuration was a grid-connected system containing a 548 kW PV, 1040 kW WT, 600 kW electrolyzer, and 600 kg hydrogen tanks This renewable energy system has the lowest NPC of $8,351,442 and produces 40,000 kg of green hydrogen annually. The sensitivity analysis also shows that with the advancement of hydrogen energy development and technology, the system will bring multiple benefits such as environmental protection and economic benefits in the future.

Suggested Citation

  • Li, Yingjie & Liu, Fang & Chen, Ke & Liu, Yinghui, 2024. "Technical and economic analysis of a hybrid PV/wind energy system for hydrogen refueling stations," Energy, Elsevier, vol. 303(C).
    • Handle: RePEc:eee:energy:v:303:y:2024:i:c:s0360544224016724
    DOI: 10.1016/j.energy.2024.131899
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    1. Aziz, Ali Saleh & Tajuddin, Mohammad Faridun Naim & Hussain, Moaid K. & Adzman, Mohd Rafi & Ghazali, Nur Hafizah & Ramli, Makbul A.M. & Khalil Zidane, Tekai Eddine, 2022. "A new optimization strategy for wind/diesel/battery hybrid energy system," Energy, Elsevier, vol. 239(PE).
    2. Wang, Dinan & Grimmelt, Michael, 2023. "Climate influence on the optimal stand-alone microgrid system with hybrid storage – A comparative study," Renewable Energy, Elsevier, vol. 208(C), pages 657-664.
    3. Min Wang & Xiaobin Dong & Youchun Zhai, 2021. "Optimal Configuration of the Integrated Charging Station for PV and Hydrogen Storage," Energies, MDPI, vol. 14(21), pages 1-12, October.
    4. Li, Chong & Zhou, Dequn & Wang, Hui & Cheng, Huanbo & Li, Dongdong, 2019. "Feasibility assessment of a hybrid PV/diesel/battery power system for a housing estate in the severe cold zone—A case study of Harbin, China," Energy, Elsevier, vol. 185(C), pages 671-681.
    5. Park, Changeun & Lim, Sesil & Shin, Jungwoo & Lee, Chul-Yong, 2022. "How much hydrogen should be supplied in the transportation market? Focusing on hydrogen fuel cell vehicle demand in South Korea," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Zhao, Jun & Dong, Kangyin & Dong, Xiucheng & Shahbaz, Muhammad, 2022. "How renewable energy alleviate energy poverty? A global analysis," Renewable Energy, Elsevier, vol. 186(C), pages 299-311.
    7. Li, Lei & Al Chami, Zaher & Manier, Hervé & Manier, Marie-Ange & Xue, Jian, 2021. "Incorporating fuel delivery in network design for hydrogen fueling stations: Formulation and two metaheuristic approaches," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    8. Danieli, Piero & Lazzaretto, Andrea & Al-Zaili, Jafar & Sayma, Abdulnaser & Masi, Massimo & Carraro, Gianluca, 2022. "The potential of the natural gas grid to accommodate hydrogen as an energy vector in transition towards a fully renewable energy system," Applied Energy, Elsevier, vol. 313(C).
    9. Pang, Yi & Pan, Lei & Zhang, Jingmei & Chen, Jianwei & Dong, Yan & Sun, Hexu, 2022. "Integrated sizing and scheduling of an off-grid integrated energy system for an isolated renewable energy hydrogen refueling station," Applied Energy, Elsevier, vol. 323(C).
    10. Das, Barun K. & Zaman, Forhad, 2019. "Performance analysis of a PV/Diesel hybrid system for a remote area in Bangladesh: Effects of dispatch strategies, batteries, and generator selection," Energy, Elsevier, vol. 169(C), pages 263-276.
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