Evaluation of Applicability of Global Solar Radiation Prediction Models for Kocaeli

Year 2016, Volume: 21 Issue: 1, 217 - 226, 13.04.2016

Nurullah Arslanoğlu

https://doi.org/10.17482/uujfe.60277

Cited By: 3

Abstract

Design and analyses of solar energy systems needs value of global solar radiation falling on the surface of the earth. In this study,  thirty relative sunshine duration based regression models in the literature for determining the monthly average daily global solar radiation on a horizontal surface for Kocaeli were investigated. To indicate the performance of the models, the following statistical test methods are used: mean absolute bias error (MABE), mean bias error (MBE), mean absolute percent error (MAPE), mean percent error (MPE), root mean square error (RMSE). According to the statistical performance, Lewis model (Model 23), Model-18 (Jin et al.) and Model 8 (Bahel et al.) showed the best estimation of the global solar radiation on a horizontal surface for Kocaeli.

Keywords

Solar radiation; Regression models; Daily global solar radiation

KOCAELİ İÇİN MEVCUT GLOBAL GÜNEŞ IŞINIMI TAHMİN MODELLERİNİN UYGULANABİLİRLİĞİNİN DEĞERLENDİRİLMESİ

Abstract

Güneş enerjisi ile çalışan sistemlerin tasarımını ve analizini yaparken, sistemin kurulacağı bölgenin güneş ışınım değerlerinin bilinmesi gerekir. Bu çalışmada, izafi güneşlenme süresine bağlı olarak geliştirilmiş literatürde mevcut 30 regresyon modelinin Kocaeli ilinde yatay düzleme gelen aylık ortalama günlük global (toplam) güneş ışınımının tahmini için kullanılabilirliği araştırılmıştır. Eşitliklerin performans değerlendirmesi için ortalama mutlak sapma hatası (MABE), ortalama sapma hatası (MBE), ortalama mutlak hata yüzdesi (MAPE), ortalama hata yüzdesi(MPE) Karekök hatası (RMSE) kullanılmıştır. 

Keywords

Güneş radyasyonu; Regresyon modelleri; Günlük global güneş ışınımı

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