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Intelligent cleanup scheme for soiled photovoltaic modules

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  • Po-Ching Hwang, Humble
  • Ku, Cooper Cheng-Yuan
  • Chao-Yang Huang, Mason

Abstract

In recent years, solar energy systems have increased significantly worldwide. However, over time, the efficiency of photovoltaic (PV) systems is always affected primarily by soiling deposits on the surfaces of PV modules. The soiling deposits lower the intensity of the irradiation transmittance, and the performance of the PV system is also reduced. Therefore, cleaning PV modules is a very routine and critical task. To reduce the efficiency loss caused by soiling deposits and increase lifetime revenue as much as possible, we propose an intelligent method for monitoring soiling status with a statistical approach, an image processing (IP) scheme, and a machine learning (ML) algorithm. Based on the experimental result, the accuracy of our method is 98.39% which indicates that it classifies the soiling status of solar panels excellently. Therefore, we believe the proposed method can assist maintenance personnel in determining the near-optimal policy of cleaning schedules for PV systems. This also decreases power loss and saves labor and time for long-term maintenance.

Suggested Citation

  • Po-Ching Hwang, Humble & Ku, Cooper Cheng-Yuan & Chao-Yang Huang, Mason, 2023. "Intelligent cleanup scheme for soiled photovoltaic modules," Energy, Elsevier, vol. 265(C).
  • Handle: RePEc:eee:energy:v:265:y:2023:i:c:s0360544222031796
    DOI: 10.1016/j.energy.2022.126293
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    References listed on IDEAS

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    1. Micheli, Leonardo & Caballero, Jose A. & Fernandez, Eduardo F. & Smestad, Greg P. & Nofuentes, Gustavo & Mallick, Tapas K. & Almonacid, Florencia, 2019. "Correlating photovoltaic soiling losses to waveband and single-value transmittance measurements," Energy, Elsevier, vol. 180(C), pages 376-386.
    2. Maghami, Mohammad Reza & Hizam, Hashim & Gomes, Chandima & Radzi, Mohd Amran & Rezadad, Mohammad Ismael & Hajighorbani, Shahrooz, 2016. "Power loss due to soiling on solar panel: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1307-1316.
    3. Sarver, Travis & Al-Qaraghuli, Ali & Kazmerski, Lawrence L., 2013. "A comprehensive review of the impact of dust on the use of solar energy: History, investigations, results, literature, and mitigation approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 698-733.
    4. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
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    Cited by:

    1. Yoon, Sungmin & Lee, Jechan, 2024. "Perspective for waste upcycling-driven zero energy buildings," Energy, Elsevier, vol. 289(C).

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