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Evaluation of global solar radiation models for Konya, Turkey

Energy Conversion and Management · Kasım 2006

Özet
Solar radiation data are required by solar engineers, architects, agriculturists and hydrologists for many applications such as solar heating, cooking, drying and interior illumination of buildings. In order to achieve this, several empirical models have been developed to predicted the solar radiation all over the world. The main objective of this study is to review the global solar radiation models available in the literature. In order to evaluate the applicability of 50 models for computing the monthly average daily global radiation on a horizontal surface, the geographical and meteorological data of Konya, Turkey (37°52′N latitude, 32°29′E longitude) was used. The models were compared on the basis of statistical error tests such as the percentage error (e), mean percentage error (MPE), root mean square error (RMSE), mean bias error (MBE), regression coefficient (R) and Nash-Sutcliffe equation (NSE). According to the results, the Ertekin and Yaldiz model showed the best estimation of the global solar radiation on a horizontal surface for Konya, Turkey, by means of the MPE (0.004266%), RMSE (0.022576 MJ/m2), MBE (0.000000 MJ/m2), R (0.999993) and NSE (0.999985) statistical tests:H = 20.296019 - 0.096134 H0 + 0.317593 δ - 0.146422 RH + 10.705159 fenced(frac(S, S0)) - 0.288332 T + 0.021331 TS + 0.359791 C + 0.207588 P - 0.076444 E. © 2006 Elsevier Ltd. All rights reserved.
119 atıf Kasım 2006 DOI
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YÖKSİS Kayıtları
Evaluation of global solar radiation models for Konya, Turkey
Energy Conversion and Management · 2006 SCI-Expanded
Prof. Dr. HAKAN OKYAY MENGEŞ →
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Makale Bilgileri

Toplam Atıf 119 atıf · Scopus
ISSN01968904
Yayın TarihiKasım 2006
Cilt / Sayfa47 · 3149-3173

Kurumlar

Akdeniz Üniversitesi
Antalya Turkey
Selçuk Üniversitesi
Selçuklu Turkey

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Scimago Dergi (ISSN Eşleşmesi)
Energy Conversion and Management
Q1
SJR Skoru2,600
H-Index293
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Energy Engineering and Power Technology (Q1)
Fuel Technology (Q1)
Nuclear Energy and Engineering (Q1)
Renewable Energy, Sustainability and the Environment (Q1)
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119
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