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Impact of climate on photovoltaic battery energy storage system optimization

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  • Liu, Jiangyang
  • Liu, Zhongbing
  • Wu, Yaling
  • Chen, Xi
  • Xiao, Hui
  • Zhang, Ling

Abstract

The optimization of the battery energy storage (BES) system is critical to building photovoltaic (PV) systems. However, there is limited research on the impact of climatic conditions on the economic benefits and energy flexibility of building PV–BES systems. Taking an office building as an example, a method for minimizing the total cost of a PV–BES system was established using a mixed integer nonlinear programming model to optimize the BES capacity. Then, the effects of the grid import/export power limit and peak feed-in tariff on BES capacity optimization were investigated, and the various economic benefits of the PV–BES system were discussed and analyzed accordingly. The results show that the operating cost was reduced significantly when the PV–BES system was employed in any of the evaluated climates; the relative payback period of the PV–BES system in Changsha was the minimum at 1.4 years. The grid import power limit and the peak feed-in tariff had a much greater impact on the battery capacity, energy flexibility, and economic benefits of the PV–BES system than the grid export power limit. The results of this study provide guidance for the application of PV–BES systems in different climates.

Suggested Citation

  • Liu, Jiangyang & Liu, Zhongbing & Wu, Yaling & Chen, Xi & Xiao, Hui & Zhang, Ling, 2022. "Impact of climate on photovoltaic battery energy storage system optimization," Renewable Energy, Elsevier, vol. 191(C), pages 625-638.
    • Handle: RePEc:eee:renene:v:191:y:2022:i:c:p:625-638
    DOI: 10.1016/j.renene.2022.04.082
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    References listed on IDEAS

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    Cited by:

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    2. Liu, Ruimiao & Liu, Zhongbing & Xiong, Wei & Zhang, Ling & Zhao, Chengliang & Yin, Yingde, 2024. "Performance simulation and optimization of building façade photovoltaic systems under different urban building layouts," Energy, Elsevier, vol. 288(C).
    3. Wu, Yaling & Liu, Zhongbing & Li, Benjia & Liu, Jiangyang & Zhang, Ling, 2022. "Energy management strategy and optimal battery capacity for flexible PV-battery system under time-of-use tariff," Renewable Energy, Elsevier, vol. 200(C), pages 558-570.
    4. Chen, Xi & Liu, Zhongbing & Wang, Pengcheng & Li, Benjia & Liu, Ruimiao & Zhang, Ling & Zhao, Chengliang & Luo, Songqin, 2023. "Multi-objective optimization of battery capacity of grid-connected PV-BESS system in hybrid building energy sharing community considering time-of-use tariff," Applied Energy, Elsevier, vol. 350(C).
    5. Zhi, Yuan & Yang, Xudong, 2023. "Scenario-based multi-objective optimization strategy for rural PV-battery systems," Applied Energy, Elsevier, vol. 345(C).
    6. Calise, Francesco & Cappiello, Francesco Liberato & Cimmino, Luca & Dentice d’Accadia, Massimo & Vicidomini, Maria, 2023. "Renewable smart energy network: A thermoeconomic comparison between conventional lithium-ion batteries and reversible solid oxide fuel cells," Renewable Energy, Elsevier, vol. 214(C), pages 74-95.

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