Estimation of Daily Average Global Solar Radiation with Nonlinear Regression Models Developed Using Some Meteorological and Geographical Parameters.
Autor: | USTA, Selçuk, GENÇOĞLAN, Cafer, GENÇOĞLAN, Serpil |
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Zdroj: | Dicle University Journal of Engineering / Dicle Üniversitesi Mühendislik Dergisi; Sep2022, Vol. 13 Issue 3, p589-597, 9p |
Abstrakt: | In this study, it is aimed to develop empirical models that can be used in estimation of daily average solar radiation (RS) based on some meteorological and geographical parameters. Seven estimation models were developed by nonlinear regression analysis method using various combinations of air temperature (T), relative humidity (RH), extraterrestrial radiation (Ra), saturated (es) and actual vapour pressure (ea) parameters. The models were created using the long-term average daily meteorological data of Kahramanmaraş province (1938 - 2020). The models were tested both these long-term average data and daily meteorological data measured at Kahramanmaraş Sütçü İmam University (KSU) in 2019 and 2020. Long-term average daily actual RS data varied between 4.99 - 32.56 MJ m-2 day-1. The estimated solar radiation values (RS) with the highest correlation (r = 0.99) with actual RS data were obtained with the RS_7 model, in which the parameters e |
Databáze: | Complementary Index |
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