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Data-driven cleaning optimisation strategy for multi-technology PV systems in the higher education sector in arid climate: A case study perspective in MENA region

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  • Malhis, Shatha
  • Shadid, Reem
  • Al-Alawi, Mohammed
  • Ahmed, Abdullahi
  • Farr, Eric
  • Piroozfar, Poorang

Abstract

The accumulation of dust and other contaminants on photovoltaic (PV) panels is a multifactorial process that significantly affects system performance. While cleaning is vital to maintaining energy output and efficiency, its methods, frequency, and procedures also influence environmental impact, resource use, and operational costs.

Suggested Citation

  • Malhis, Shatha & Shadid, Reem & Al-Alawi, Mohammed & Ahmed, Abdullahi & Farr, Eric & Piroozfar, Poorang, 2026. "Data-driven cleaning optimisation strategy for multi-technology PV systems in the higher education sector in arid climate: A case study perspective in MENA region," Renewable Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:renene:v:257:y:2026:i:c:s0960148125024036
    DOI: 10.1016/j.renene.2025.124739
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    References listed on IDEAS

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    1. Benjamin Oluwamuyiwa Olorunfemi & Omolola A. Ogbolumani & Nnamdi Nwulu, 2022. "Solar Panels Dirt Monitoring and Cleaning for Performance Improvement: A Systematic Review on Smart Systems," Sustainability, MDPI, vol. 14(17), pages 1-27, September.
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