Operational Planning for Cleaning Decentralized PV Solar Panels Considering Uncertain Dusty Air Condition

  • Abubaker Gebreil Matar

    Student thesis: Master's Thesis


    Due to the expected growing demand for PV modules in the UAE, the most successful cleaning strategy should be developed to maintain high-performance systems. The research issue is how to make cleaning schedules in the face of the unpredictable dusty air. Three-year data for several meteorological parameters in the Abu Dhabi area was collected from various sources, including, particulate matter, wind speed, temperature, and solar irradiance. The data was then analyzed using multiple tools and statistical approaches, to determine the best cleaning schedule that guarantees the least possible cost. Preliminary results revealed that 45 days interval is the optimal cleaning schedule. A more accurate estimate was achieved when the simulation was employed, combining several values for the cleaning cost and electricity tariff, and examining various cleaning frequencies, from which the optimal cleaning interval was determined. 34 and 72 days were the optimal cleaning frequencies considering the electricity tariff for expats and UAE nationals respectively. These estimates were followed by a sensitivity analysis to identify the impact of changing these costs on the cleaning frequency.
    Date of AwardJul 2022
    Original languageAmerican English


    • PV
    • Panel efficiency
    • dust accumulation
    • cleaning
    • simulation optimization.

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