BUILDING A MODEL FOR FORECASTING DUST SITUATION ON SURFACE BATTERY SOLAR PANELS BASED ON OPERATION DATA

Abstract

This his study shows the efficiency degradation of solar panels through data processing, analysis and calculation from the numbers obtained at the Rooftop Solar Power Project. Da Nang milk machine. During system operation, the surface quality of the panel is a decisive factor in the amount of light received, thereby affecting the overall performance. Performance degradation is not only due to technical reasons but also other causes such as temperature, inclination angle, azimuth, radiation intensity, dust, shade, etc. The study focuses on the influence of Dirt accumulating on the surface of the panels on the output. Using the Linear Regression method, the article shows that the efficiency of panels is continuously declining, which will seriously affect the economic profits of enterprises in the long run. Therefore, we have analyzed and shown the times when solar panels need to be washed, cleaned, maintained, and serviced to the PV system to restore the energy conversion efficiency of the PV system significantly. Thus, this is an important and urgent study with efficient results: the life of electrical equipment is guaranteed, the efficiency is restored substantially, and the economic efficiency is improved.