Analysis of Long-Term Global Solar Radiation, Sunshine Duration and Air Temperature Data of Ankara and Modeling with Curve Fitting Methods
Journal Title: Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji - Year 2018, Vol 6, Issue 1
Abstract
The information about solar parameters is important in the installation of photovoltaic energy systems that are reliable, environmentally friendly and sustainable. In this study, initially, long-term global solar radiation, sunshine duration and air temperature data of Ankara are analyzed on the annual, monthly and daily basis, elaborately. Afterwards, three different empirical methods that are polynomial, Gaussian and Fourier are used for the purpose of modeling long-term monthly total global solar radiation, monthly total sunshine duration and monthly mean air temperature data. The coefficient of determination and the root mean square error are computed as statistical test metrics in order to compare data modeling performance of the mentioned empirical methods. The empirical methods that provide the best results enable to model the solar characteristics of Ankara more accurately and the achieved outcomes constitute the significant resource for other locations with similar climatic conditions.
Authors and Affiliations
Mehmet YEŞİLBUDAK, Medine ÇOLAK, Ramazan BAYINDIR
Keywords
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- EP ID EP489673
- DOI 10.29109/http-gujsc-gazi-edu-tr.336830
- Views 94
- Downloads 0
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