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The effect of pollutants on leakage current and power degradation of photovoltaic modules

Author

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  • Wang, Ping
  • Kong, Meiya
  • Du, Wei
  • Wang, Linhong
  • Ni, Lei

Abstract

The surface of photovoltaic (PV) modules exposed under sunlight are always covered with pollutants, which often lead to the increase of leakage current and potential induced degradation (PID). For investigating the indistinct mechanism and effect of pollutants on PV leakage current, activation energy, and power degradation, an experimental prototype was set up in an environmental chamber. Then different masses of pollutants were smeared on PV modules' surface to investigate their influence on leakage current. The polluted leakage current model was established by measuring the PV modules’ leakage current and calculating the activation energy with different humidity and pollutant mass. The experimental results indicate that the leakage current model proposed in this paper can predict the polluted leakage current, and the proposed pollutant correlation coefficient can reveal the degradation rate and guide for the economic operation of cleaning PV modules.

Suggested Citation

  • Wang, Ping & Kong, Meiya & Du, Wei & Wang, Linhong & Ni, Lei, 2020. "The effect of pollutants on leakage current and power degradation of photovoltaic modules," Renewable Energy, Elsevier, vol. 146(C), pages 2668-2675.
    • Handle: RePEc:eee:renene:v:146:y:2020:i:c:p:2668-2675
    DOI: 10.1016/j.renene.2019.08.055
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    References listed on IDEAS

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    1. Islam, M.A. & Hasanuzzaman, M. & Rahim, Nasrudin Abd, 2018. "A comparative investigation on in-situ and laboratory standard test of the potential induced degradation of crystalline silicon photovoltaic modules," Renewable Energy, Elsevier, vol. 127(C), pages 102-113.
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    Cited by:

    1. Negri, Simone & Tironi, Enrico & Superti-Furga, Gabrio & Carminati, Marco, 2021. "VSC-based LVDC distribution network with DERs: Equivalent circuits for leakage and ground fault currents evaluation," Renewable Energy, Elsevier, vol. 177(C), pages 1133-1146.
    2. Xiao, Hui & Lin, Chen & Kou, Gang & Peng, Rui, 2022. "Reliability modeling and configuration optimization of a photovoltaic based electric power generation system," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

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