Abstract:
The operating cell temperatures of photovoltaic (PV) modules directly affect the
performance of the PV system. Commonly two steady state approach prediction
models are used to estimate the PV modules cell temperatures, the nominal operating
cell temperature model and the Sandia National Laboratory temperature prediction
model. In this study the Sandia National Laboratory temperature prediction model
was used to predict the PV modules temperatures of Renewable Energy Research
Center PV installation at Universiti Malaysia Terengganu. It was found that, in
general, the model tends to give better results of temperature prediction. In this
analysis more than 4630 PV cell temperature data were used. The MBE, NMBE,
RMSE, NRMSE and correlation coefficient of predicted and measured PV cell
temperatures are -0.3490 oC,-0.7328%, 1.3571 oC, 2.8492% and 0.9763, respectively.
The statistical results show that the model can be used to predict the PV cell
temperatures with an error of less than 3%. It can be seen from the results, that the
predicted PV cell temperatures show a good correlation with the measured data. As a
conclusion, the PV cell temperatures can be estimated using a new linear model based
on the steady state approach prediction model.
