Empirical modeling of solar radiation exergy for Turkey

Solar exergy evaluation and empirical model establishment; case study: Iran

“…The results show that the average ratio of exergy to energy is almost independent of the month and geographical location; therefore, the average ratio of exergy to energy for the whole Iran can be considered 0.87. It should be noted that in the study of ( Alta et al., 2010 ) and ( Arslanoglu, 2016 ) both performed for Turkey, this ratio was found to be 0.93. Also in study of ( Hepbasli and Alsuhaibani, 2014 ) the mean annual exergy to energy ratio for northeastern Saudi Arabia and Izmir in Turkey were obtained 0.933 and 0.935 according to Petela's approach, respectively and 0.950 and 0.951 according to Jefer's approach, respectively.…”

“…For predicting the monthly average solar exergy for seven stations in Turkey ( Arslanoglu, 2016 ), established three linear, quadratic and cubic sunshine duration based models for every station. Also to evaluate the performance of the models, seven statistical indicators were utilized.…”

“…Afterward and as the third objective, the performances of these models are evaluated and the best model for each province is determined. In this study, different from the study of ( Arslanoglu, 2016 ), eight statistical indicators are used and for each individual station the best model for predicting solar exergy is recognized and introduced. Similar to the Angstrom-Prescott model, which is to predict the total solar radiation, the best models of this study are dependent solely to the monthly average relative sunshine duration and independent of any other solar or metrological parameter; hence are simple and easy to apply and may be used for other regions around the globe, if they have similar climatic classification and conditions.…”

Estimation of the solar radiation based on air temperature in tunisia

“…Researchers presented a lot of correlations to estimate the solar radiation from available meteorological data due to the absence of the solar radiation data with reliable qualities [4][5][6][7]. These researches are based on empirical models which are related to some specific variables such as the temperature [8][9][10][11][12], the rainfall [13][14][15], the cloudiness [16,17], the sunshine duration [18][19][20][21][22], the humidity [23,24], the elevation [25,26], and the latitude [22,23]. Other researchers have presented study on the estimation of the solar radiation using Artificial Neural Network [27,28].…”

Ankara İlinin Uzun Dönem Global Güneş Işınım Şiddeti, Güneşlenme Süresi ve Hava Sıcaklığı Verilerinin Analizi ve Eğri Uydurma Metotlarıyla Modellenmesi

“…aylık ortalama günlük global güneş ışınım şiddeti modellemesi için doğrusal ve logaritmik regresyon modellerinden faydalanmış ve bu modellerin ortalama mutlak sapma hataları sırasıyla 0,1779 kWh/m 2 ve 0,1804 kWh/m 2 olarak bulunmuştur [8]. Arslanoğlu aylık ortalama günlük global güneş ışınım şiddeti modellemesi için doğrusal, kuadratik ve kübik regresyon modellerini kullanmış ve söz konusu modellerin belirlilik katsayıları sırasıyla 0,949, 0,981 ve 0,981 olarak elde edilmiştir [9]. Yıldırım ve ark.…”