Modelling and drawing energy and exergy of solar radiation

Abstract

Some models are proposed to study the exergy of incident solar radiation on the horizontal surface, which can be used to produce work. It is always important to know how much work can be obtained from solar radiation. In this study, an artificial neural network (ANN)-based model for prediction of solar energy was developed and compared with real data. The results show that the correlation coefficients between the predictions and actual global solar radiation intensities for training and testing datasets were higher than 97%, thus suggesting a high reliability of the model for evaluating solar radiation in locations where solar radiation data are not available. The results show that the total energy quality factor of extraterrestrial solar radiation by Petela expression is ~0.933. The predicted solar radiation energy and exergy values are illustrated in the form of maps that were made by ArcGIS.