Satellite-Based Dust Deposition Monitoring for Power Quality Enhancement in Solar PV Systems: A Case Study from Oman
M. B. Danbatta, N. Al-Rawahi, N. Al-Azri   Department of Mechanical and Industrial Engineering. Sultan Qaboos University. Al-Khoud 123, Muscat (Oman)   2025-07-25

Abstract

Solar Photovoltaic (PV) systems offer a sustainable energy solution, particularly in regions with high solar irradiance, such as Oman. However, their performance is often compromised by dust accumulation, which reduces efficiency and increases the need for maintenance. This study explores a satellite-based monitoring approach to assess dust deposition and its impact on PV performance in Oman’s arid environment. Using remote sensing data, the research maps dust patterns and correlates them with solar radiation to evaluate efficiency losses. The proposed method provides a cost-effective alternative to ground-based monitoring, enabling the timely detection of dust buildup. This allows operators to plan targeted cleaning interventions, improving power output while reducing maintenance frequency and costs. The approach supports proactive system management by optimizing cleaning schedules and minimizing unnecessary operations. Ultimately, the study enhances understanding of environmental effects on solar energy production and offers a scalable solution for dust-prone areas. It contributes to improving solar PV performance and aligns with Oman’s Vision 2040 goals for sustainable energy by promoting efficient and reliable solar power systems.

Key words: Dust Deposition, Satellite Monitoring, Solar Photovoltaics, Power Quality, Machine Learning.

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