Study of the performance of a High concentrator photovoltaic module using three prediction models

In this study, three models namely the linear coefficient model, the Standard ASTM E2527 and the Sandia National Laboratories model, among some methods of the prediction of maximum power have been adequately selected to investigate the performance of a High concentrator photovoltaic (HCPV) system, upon atmospheric conditions such as the direct normal irradiation DNI, the ambient temperature, the wind speed and the Air Mass. This study is motivated by the fact that it is difficult to estimate the output power of HCPV module. The results of the three models indicate a good linearity between the predicted power and the measured power. The fitting coefficients such as the roof mean square (RMSE), the mean bias error (MBE), and the R
²
value between the actual data and predicted data deduced from the three methods have been compared to determine the suitable model for power prediction for our HCPV module located in the UIR campus.