Solar radiation for Dhahran, Saudi Arabia

Bahel, V.; Srinivasan, Ranjani; Bakhsh, H.

doi:10.1016/0360-5442(86)90029-0

Cited by 72 publications

(7 citation statements)

References 6 publications

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“…In quadratic type of models, 2 nd order polynomial equations were developed by Ogelman [13]. In cubic type of models, 3 rd order polynomial equations were developed by Bahel [14]. 4 th order polynomial equation was developed by Shahrukh [15] in 2019 using sunshine hours data.…”

Section: Models Developedmentioning

confidence: 99%

Comprehensive review on empirical models to estimate global solar radiation on horizontal surfaces

Aggarwal¹

2021

IJAEMS

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In the present scenario of global warming and climate change, use of solar energy is becoming imminent. Researchers are working on developing models to predict global solar radiation based on meteorological and geographical parameters. A number of models have been developed in the past which have been summarized in the present study. The techniques to develop models have also been presented. In the era of global warming, the role of air pollutants in estimating GSR is more important than developing very complex models. Models related to this aspect have also been discussed.

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Section: Models Developedmentioning

confidence: 99%

Comprehensive review on empirical models to estimate global solar radiation on horizontal surfaces

Aggarwal¹

2021

IJAEMS

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“…Bahel (Model 3), Jain (Model 4), and Louche (Model 5) models are all presented by equation 2, with different values for regression coefficients a and b. In the Bahel model, the coefficients are equal to 0.175 and 0.552, respectively [13]. Jain analysed data for Italy and suggested coefficient values 0.177 and 0.692 [14], while Louche for Ajaccio in Corsica obtained regression coefficients 0.206 and 0.546 [15].…”

Section: Description Of Used Modelsmentioning

confidence: 99%

“…where coefficients a, b, and c are given by values 0.195, 0.676, and 0.142, respectively. Bahel (Model 10) proposed a nonlinear model, based on bright sunshine hours and global radiation of 48 stations around the world, as a third-order function of the sunshine ratio S/S 0 [13]:…”

Section: Description Of Used Modelsmentioning

confidence: 99%

A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

Betti

Zulim

Brkić

et al. 2020

International Journal of Photoenergy

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The performance of seventeen sunshine-duration-based models has been assessed using data from seven meteorological stations in Croatia. Conventional statistical indicators are used as numerical indicators of the model performance: mean absolute percentage error (MAPE), mean bias error (MBE), mean absolute error (MAE), and root-mean-square error (RMSE). The ranking of the models was done using the combination of all these parameters, all having equal weights. The Rietveld model was found to perform the best overall, followed by Soler and Dogniaux-Lemoine monthly dependent models. For three best-performing models, new adjusted coefficients are calculated, and they are validated using separate dataset. Only the Dogniaux-Lemoine model performed better with adjusted coefficients, but across all analysed locations, the adjusted models showed improvement in reduced maximum percentage error.

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“…Altı yıllık güneş ışınımı ve güneşlenme süresi verilerini Devlet Meteoroloji İşleri Genel Müdürlüğü'nden alıp yatay düzleme gelen aylık global güneş ışınımını tahmin eden ampirik modeller geliştirmişlerdir [20]. Bazı çalışmalarda günlük global güneş ışınımının atmosfer dışı global güneş ışınımına oranı (Q/Qo) ile güneşlenme süresinin gün uzunluğuna oranı (t/to) arasında üçüncü dereceden bir ilişki kurarak model geliştirilmiştir [21][22][23][24]. Kılıç ve Öztürk, komşu ülkelerdeki ölçülen değerlerle çok iyi uyum sağlayan Angström denklemi katsayılarını hesaplayan bağıntı geliştirmişlerdir [25].…”

Section: Gi̇ri̇ş (Introduction)unclassified

Mersin / Türkiye için Ölçülen Global Güneş Işınımının Yapay Sinir Ağları ile Tahmin Edilmesi ve Yaygın Işınım Modelleri ile Karşılaştırılması

Arslan

Bayhan

Yaman

2019

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım Ve Teknoloji

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ÖzBu çalışmada, Nisan 2017 -Mart 2018 tarihleri aralığında Mersin için ölçülen günlük toplam global güneş ışınım değerlerinin yapay sinir ağı kullanılarak modellenmesi yapılmıştır ve literatürde bulunan yaygın modellerin günlük toplam global güneş ışınım değerlerini tahmin etme performansları incelenmiştir. Günlük ortalama hava sıcaklığı, bağıl nem, rüzgar hızı, güneşlenme süresi ve bulut kapalılığı verileri, Devlet Meteoroloji İşleri Genel Müdürlüğü'nden temin edilmiş olup güneş ışınım değerleri ise piranometre ile ölçülmüştür. Sonuç olarak, incelenen modeller içerisinde en iyi tahmin performansını belirlilik katsayısı (R 2 ) 0,83 olan Model 37 (Zhang ve Huang) göstermiştir. AbstractIn this study, the daily total global solar radiation values measured for Mersin between April 2017 and March 2018 were modeled using artificial neural networks and the performance of estimating daily total global solar radiation values of the common models in the literature was investigated. Daily average air temperature, relative humidity, wind speed, sunshine duration, and cloud cover data are obtained from the Turkish State Meteorological Service and solar radiation values are measured with a pyranometer. As a result, Model 37 (Zhang and Huang) showed the best prediction performance among the models examined, with the coefficient of determination (R 2 ) being 0.83.

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Solar radiation for Dhahran, Saudi Arabia

Cited by 72 publications

References 6 publications

Comprehensive review on empirical models to estimate global solar radiation on horizontal surfaces

Comprehensive review on empirical models to estimate global solar radiation on horizontal surfaces

A Comparison of Models for Estimating Solar Radiation from Sunshine Duration in Croatia

Mersin / Türkiye için Ölçülen Global Güneş Işınımının Yapay Sinir Ağları ile Tahmin Edilmesi ve Yaygın Işınım Modelleri ile Karşılaştırılması

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