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Review and Comparison of Methods for Soiling Modeling in Large Grid-Connected PV Plants

Author

Listed:
  • Marta Redondo

    (Department of Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial, Universidad Politécnica de Madrid, 28006 Madrid, Spain
    Department of Operation & Maintenance Improvement, Enel Green Power Iberia, 28042 Madrid, Spain)

  • Carlos Antonio Platero

    (Department of Automática, Ingeniería Eléctrica y Electrónica e Informática Industrial, Universidad Politécnica de Madrid, 28006 Madrid, Spain)

  • Antonio Moset

    (Department of Operation & Maintenance Solar Iberia, Enel Green Power Iberia, 28042 Madrid, Spain)

  • Fernando Rodríguez

    (Department of Operation & Maintenance Solar Iberia, Enel Green Power Iberia, 28042 Madrid, Spain)

  • Vicente Donate

    (Department of Operation & Maintenance Solar Iberia, Enel Green Power Iberia, 28042 Madrid, Spain)

Abstract

Soiling in PV modules is one of the biggest issues affecting performance and economic losses in PV power plants; thus, it is essential to supervise and forecast soiling profiles and establish the best cleaning program. This paper analyzes different methods for soiling modeling in Large Grid-Connected PV Plants and discusses the different factors influencing soiling. Analytical models from environmental conditions are discussed in detail, comparing the proposed model by the authors (SOMOSclean) with another three relevant models from the literature (Kimber, HSU, and Toth), applying them to 16 PV power plants in Spain (total capacity of 727 MWp). Uncertainty between models and sensors is also measured, presenting the numerical results for a period of 2 years. While simpler models may offer straightforward implementation, they often fail to capture the full complexity of soiling dynamics, leading to increased RMSE error.

Suggested Citation

  • Marta Redondo & Carlos Antonio Platero & Antonio Moset & Fernando Rodríguez & Vicente Donate, 2024. "Review and Comparison of Methods for Soiling Modeling in Large Grid-Connected PV Plants," Sustainability, MDPI, vol. 16(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:24:p:10998-:d:1544230
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