Research on dust deposition loss analysis and dust deposition prediction in photovoltaic power plants

Due to the frequent occurrence of atmospheric pollution in recent years, the construction of photovoltaic power plants outdoors has significantly affected the power generation capacity. It is of great significance to study the impact of dust deposition on the maximum power output loss of photovoltaic modules for the operation and maintenance of local power plants. This paper first establishes a dust deposition model for modules based on particle deposition principles. Then, it investigates the effects of dust deposition on radiation and the temperature of photovoltaic modules, thus establishing a dust deposition loss model that calculates the impact on power generation based on dust mass. Finally, a method for predicting dust deposition using the gradient neural network algorithm is proposed, forming a complete analysis theory for dust deposition loss in photovoltaic power plants. The research conclusions of this paper provide theoretical and technical support for improving the quality and efficiency of photovoltaic power plants