Understanding, Forecasting and Mitigating Soiling and Performance Losses

This project is dedicated to advancing PV deployment in desert climates by leveraging cutting-edge technologies and rigorous research. Soiling on photovoltaic (PV) systems, caused by the accumulation of dust and particulate matter, remains a critical challenge in desert environments, leading to significant energy yield losses. This project aims to address the complexities of soiling through an integrated approach that combines data collection, advanced modeling, and practical mitigation strategies. The project will investigate the dynamics of soiling by analyzing key environmental factors such as dust flux, meteorological conditions, and aerosol properties. Field measurements, remote sensing, and satellite data will be leveraged to quantify the impact of soiling on PV performance under varying conditions. A core focus is the development of predictive models, including AI-driven algorithms, to forecast soiling trends and assess their effects on energy output. Mitigation strategies will be explored, including optimized cleaning schedules and innovative materials or coatings that minimize soiling. Deliverables include predictive soiling maps, validated models for performance forecasting, and cost-benefit analyses of cleaning methodologies. The findings will contribute to enhanced PV system efficiency and durability, supporting Qatar's renewable energy targets as outlined in the National Development Strategy. Outputs will include journal publications, stakeholder workshops, and a framework for scalable implementation in arid regions worldwide.

Hamad Bin Khalifa University (HBKU)