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The Analysis of Working Parameters Decrease in Photovoltaic Modules as a Result of Dust Deposition

Author

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  • Ewa Klugmann-Radziemska

    (Department of Energy Conversion and Storage, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland)

  • Małgorzata Rudnicka

    (Department of Energy Conversion and Storage, Faculty of Chemistry, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland)

Abstract

The aspect of dust accumulation on the surface of photovoltaic (PV) modules should be thoroughly understood in order to minimize possible obstacles affecting energy generation. Several elements affect the amount of pollutant gathered on the surface of a solar device, mainly its localization, which is irreversibly linked to factors such as annual rainfall, occasional snow coverage, or, in a dry climate, increased blow of dust during sandstorms and higher concentration of soil particles in desert areas. Other than weather conditions in the region, PV installation type also plays an important role as a more horizontal position is favorable for the accumulation of soil. The research carried out and presented in this paper was done for dust accumulated naturally on PV modules kept in outdoor conditions and dust artificially sieved onto the front glass cover of modules. The experiment performed by the authors, including artificially deposited dust, defined the linear relationship between surface dust density of different types of contaminants and efficiency decline up to 10% for two different PV modules. The additional field study carried out in external conditions for a coastal region in Northern Poland concluded that, after one year, exposition photovoltaic conversion efficiency can be over 10% lower, with a slight performance improvement for the autumn season characterized by heavy rainfall.

Suggested Citation

  • Ewa Klugmann-Radziemska & Małgorzata Rudnicka, 2020. "The Analysis of Working Parameters Decrease in Photovoltaic Modules as a Result of Dust Deposition," Energies, MDPI, vol. 13(16), pages 1-11, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4138-:d:397154
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    References listed on IDEAS

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    1. Giovanni Cipriani & Antonino D’Amico & Stefania Guarino & Donatella Manno & Marzia Traverso & Vincenzo Di Dio, 2020. "Convolutional Neural Network for Dust and Hotspot Classification in PV Modules," Energies, MDPI, vol. 13(23), pages 1-17, December.
    2. Antonia Sônia A. C. Diniz & Tulio P. Duarte & Suellen A. C. Costa & Daniel Sena Braga & Vinicius Camatta Santana & Lawrence L. Kazmerski, 2022. "Soiling Spectral and Module Temperature Effects: Comparisons of Competing Operating Parameters for Four Commercial PV Module Technologies," Energies, MDPI, vol. 15(15), pages 1-18, July.
    3. Natalia Iwaszczuk & Mariusz Trela, 2021. "Analysis of the Impact of the Assumed Moment of Meeting Total Energy Demand on the Profitability of Photovoltaic Installations for Households in Poland," Energies, MDPI, vol. 14(6), pages 1-15, March.
    4. Gowtham Vedulla & Anbazhagan Geetha & Ramalingam Senthil, 2022. "Review of Strategies to Mitigate Dust Deposition on Solar Photovoltaic Systems," Energies, MDPI, vol. 16(1), pages 1-28, December.
    5. Pankaj Borah & Leonardo Micheli & Nabin Sarmah, 2023. "Analysis of Soiling Loss in Photovoltaic Modules: A Review of the Impact of Atmospheric Parameters, Soil Properties, and Mitigation Approaches," Sustainability, MDPI, vol. 15(24), pages 1-26, December.
    6. Beata Hysa & Anna Mularczyk, 2024. "PESTEL Analysis of the Photovoltaic Market in Poland—A Systematic Review of Opportunities and Threats," Resources, MDPI, vol. 13(10), pages 1-29, September.

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