A New Approach to Estimating Solar Radiation

被引:0
|
作者
Arsel, Ismail [1 ]
Yilmaz, Fatih [2 ]
Pekgor, Ahmet [2 ]
Servi, Sema [3 ]
Genc, Asir [2 ]
Oturanc, Galip [4 ]
Yildirim, Fatma Nur [1 ]
机构
[1] Karamanoglu Mehmetbey Univ, Fac Sci, Dept Phys, Karaman, Turkiye
[2] Necmettin Erbakan Univ, Fac Sci, Dept Stat, Konya, Turkiye
[3] Selcuk Univ, Fac Engn, Dept Comp Engn, Konya, Turkiye
[4] Karamanoglu Mehmetbey Univ, Fac Sci, Dept Math, Karaman, Turkiye
来源
关键词
& Aring; ngstr & ouml; m equation; non-parametric regression; parameter estimation; piecewise cubic spline regression; spline interpolation method; solar radiation; MONTHLY-AVERAGE; REGRESSION; IZMIR; MODEL;
D O I
10.20508/ijrer.v14i3.14913.g8909
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Solar radiation on a region is one of the main parameters in deciding on the economy of conversion devices designed to utilize solar energy. Additionally, for solar energy investments, it is highly essential to predict the annual average radiation on the region. The literature indicates that the & Aring;ngstr & ouml;m formula has, most of the time, been used for such estimations. However, in this paper, for the first time in literature, monthly average daily global radiation on the horizontal surface of Karaman region was calculated by means of spline interpolation, cubic spline regression, local polynomial regression, and & Aring;ngstr & ouml;m methods, and the outcomes were compared. As a result, it has come out that the cubic spline method gives the best-fit values. Accordingly, it is concluded that the cubic spline model offers, statistically, better estimation results.
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页码:450 / 457
页数:8
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