Authors : Mohammed Hasaballah; Abdullah Zarie

Volume/Issue : Volume 10 - 2025, Issue 8 - August

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Google Scholar : https://tinyurl.com/yjaa5vd8

Scribd : https://tinyurl.com/4u3wdyf3

DOI : https://doi.org/10.38124/ijisrt/25aug1017

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

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Abstract : Dust accumulation on solar panels significantly reduces energy output, particularly in arid, dusty, or industrial regions. This paper proposes and evaluates a low-cost, automated spray cleaning system designed to maintain panel performance while minimizing water usage and manual labor. The system uses scheduled or sensor based cleaning cycles, integrating basic mechanical and control components. A simulation-based analysis indicates that regular spray cleaning can recover up to 15-25% of power loss, reduce labor requirements by over 90%, and optimize water consumption by more than 60% compared to traditional manual cleaning. The system provides a scalable and efficient solution, especially for remote or large-scale solar deployments.

References :

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3. Ji, J., Lu, J., et al. (2009). A cleaning system for solar PV panels in desert environments. Applied Energy, 86(9), 1395-1401.