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Significant decrease of photovoltaic power production by aerosols. The case of Santiago de Chile

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  • Del Hoyo, Mirko
  • Rondanelli, Roberto
  • Escobar, Rodrigo

Abstract

Santiago de Chile frequently suffers from atmospheric pollution that contributes to the decrease of solar irradiance on the surface, leading to losses in the energy output of photovoltaic systems. In this study, a simple model is used to estimate the effect of aerosols on the solar irradiance over the city throughout the year, using as input AERONET sunphotometer data and other in-situ measurements. The results show reductions of 3.5% and 14.1% for global horizontal and direct normal irradiance respectively and an increase of 35.4% for diffuse horizontal irradiance between the actual condition in Santiago and a hypothetical atmosphere free of aerosols. These effects translate approximately to an annual difference in the energy output of −7.2% and −8.7% for monocrystalline and amorphous silicon PV technologies respectively, and an annual difference of −16.4% for a CPV technology, showing that aerosols can have a significant effect on the photovoltaic energy production.

Suggested Citation

  • Del Hoyo, Mirko & Rondanelli, Roberto & Escobar, Rodrigo, 2020. "Significant decrease of photovoltaic power production by aerosols. The case of Santiago de Chile," Renewable Energy, Elsevier, vol. 148(C), pages 1137-1149.
  • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:1137-1149
    DOI: 10.1016/j.renene.2019.10.005
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    Cited by:

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    3. Herman-Czezuch, Anna & Mekeng, Armelle Zemo & Meilinger, Stefanie & Barry, James & Kimiaie, Nicola, 2022. "Impact of aerosols on photovoltaic energy production using a spectrally resolved model chain: Case study of southern West Africa," Renewable Energy, Elsevier, vol. 194(C), pages 321-333.
    4. Song, Zhe & Cao, Sunliang & Yang, Hongxing, 2024. "Quantifying the air pollution impacts on solar photovoltaic capacity factors and potential benefits of pollution control for the solar sector in China," Applied Energy, Elsevier, vol. 365(C).
    5. Choi, Kelvin, Tsz Hei & Brindley, Helen & Ekins-Daukes, N. & Escobar, Rodrigo, 2021. "Developing automated methods to estimate spectrally resolved direct normal irradiance for solar energy applications," Renewable Energy, Elsevier, vol. 173(C), pages 1070-1086.
    6. Song, Zhe & Liu, Jia & Yang, Hongxing, 2021. "Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review," Applied Energy, Elsevier, vol. 298(C).

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