Evaluation and Prediction Performance of Solar Panel and Wind Turbine Systems Using Simulation

Abstract

Renewable energy is one of the important sustainable energy sources due to its low carbon emissions compared to fossil fuels; however, its performance is affected by climatic conditions. This study aims to evaluate and predict the performance of photovoltaic (PV) systems and wind turbines in Libya through two phases. In the first phase, MATLAB/Simulink was used to model and simulate three PV technologies monocrystalline, polycrystalline, and amorphous and to analyze the effects of solar irradiance and temperature on their performance. The results indicate that monocrystalline modules are more responsive to increased irradiance, while amorphous modules are less sensitive to temperature rise. Wind energy systems were analyzed by comparing two horizontal- xis wind turbines, Gamesa and Acciona, under different wind speeds, where the Gamesa turbine showed superior performance at high speeds. In the second phase, an artificial neural network trained using synthetically generated data achieved high prediction accuracy for both energy systems