Fuzzy Logic approach based predicting power output of PV panel in desert environment

Increasing the global energy demand forces countries to search for an alternative to traditional energy. One of the best alternatives in a desert environment is solar energy. However, high temperatures and dust density significantly limit Middle Eastern deserts' solar energy utilization. The dynamic changes in the temperature and dust density made the traditional modeling approaches difficult. This research aims to predict the levels of output power harvested from PV panels in the desert environment using the Fuzzy logic approach. Three input parameters: light intensity, ambient temperature, and dust intensity, with one output parameter: Output power, all were used in the model. Other parameters, such as humidity, and panel slop angle, were assumed to be constant. Eighteen different rules were assumed based on the recent literature. The results confirm the negative effects of the ambient temperature (T), the negative effect of dust density, and the positive effect of light intensity while showing the higher priority effect of light intensity and mid priority of ambient temperature compared to the dust density effect.