Analyzing the effectiveness of various coatings to mitigate photovoltaic modules soiling in desert climate

Elsafi, Alaa; Abdelrahim, Mohamed; Elgaili, Mohamed; Mroue, Kamal; Samara, Ayman; Zekri, Atef; Willers, Guido; Ilse, Klemens; Aïssa, Brahim; Qasem, Hussam; Pasha, Mujaheed; Mansour, Said A.; Abdallah, Amir

doi:10.1016/j.solmat.2024.113278

Solar Energy Materials and Solar Cells

2025

DOI: 10.1016/j.solmat.2024.113278

|View full text |Cite

Analyzing the effectiveness of various coatings to mitigate photovoltaic modules soiling in desert climate

Alaa Elsafi,

Mohamed Abdelrahim,

Mohamed Elgaili

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

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

Redondo,

Platero,

Moset

et al. 2024

Sustainability

View full text Add to dashboard Cite

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.

show abstract

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

Redondo,

Platero,

Moset

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Analyzing the effectiveness of various coatings to mitigate photovoltaic modules soiling in desert climate

Cited by 1 publication

References 27 publications

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

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

Contact Info

Product

Resources

About