The Empirical Solar Radiation Prediction Models Essay

Literature Review 2.1 Empirical Solar Radiation Prediction Models Solar radiation estimation models were developed using meteorological parameters and site geographical locations. These meteorological factors have a major influence on the outcome of solar radiation intensity that reaches the earth’s surface [11-14]. In addition, most models were developed with well-maintained recorded data provided by weather stations. For these reasons, earlier studies correlating solar radiation to meteorological parameters were conducted by Angstrom in 1924. In his research, a simple numerical technique correlating solar radiation to sunshine hours was developed. Equation (1) represents the modified form of Angstrom model by Prescott as [15]; H_i/H_o =a+bS (1) where by H_o is the global solar radiation on a clear day, H represents final solar radiation outcome, a and b are regression coefficients and S equals number of sunshine hours in a day. Since then, numerous models and numerical techniques have been developed using meteorological parameters together with the sites geographical locations in developing solar radiation models. Most of these models fall into three categories [16]; Stochastic Algorithm Satellite Derived Empirical Technique Correspondingly, several methods were used to estimate solar radiation intensity [17]. The development of models using empirical relationships has gain wider spectrum of applicability because of its simplicity and convenient use of variablesShow MoreRelatedBootstrap Approach On Data Sampling Essay1445 Words   |  6 Pagestest to compare the two normal distribution will provide a certain mean value with a certain confidence limit and probability. Artificial Neural Network (ANN) Background Several work from literature on solar radiation prediction have demonstrated that ANN is highly accurate in predicting global radiation [22, 26, 34-40]. 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