Prediction of Anti-reflection Coating Thickness of a Solar Cell using Artificial Neural Network

Solar photovoltaic technologies are pioneers in the field of renewable energy generation. However, the efficiency of photovoltaic devices is very low. Optical losses experienced by the solar cells are the reason for these poor efficiencies. Reflection losses from the top surface of the solar cells are a major cause of optical losses. Anti-reflection coatings on the top surface of the solar cells are used to reduce these losses. Hence, it is imperative to predict the proper thickness of the coating to maintain the optimum thickness of the whole device and reduce the cost. This work presents a simulation of the effect of coating thickness on solar cells and based on the simulation results prediction of thickness is done using artificial neural networks.