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Comparison of three solar radiation models and their validation under all sky conditions – case study: Tetuan city in northern of Morocco

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  • El Mghouchi, Y.
  • El Bouardi, A.
  • Sadouk, A.
  • Fellak, I.
  • Ajzoul, T.

Abstract

To optimize the use of solar energy, a fundamental need is to get to know the amount of solar radiations at a specified Earth location by using the available climatological measured data. The present work aims to predict direct, diffuse and global solar fluxes depending on the sky-condition at a given position, in our case Tetuan city in northern of Morocco (35.57361 latitude, −5.37528 longitude). To do this, we have retained three empirical models from literature, such as ASHRAE, Campbell and Benjamin et al. models. The results obtained by these models with the acquired data by the local meteorological station show different level of accuracy and it has been concluded that some models can be preferred to estimate the solar radiation intensities for the studied site and for other locations that have similar climate conditions.

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  • El Mghouchi, Y. & El Bouardi, A. & Sadouk, A. & Fellak, I. & Ajzoul, T., 2016. "Comparison of three solar radiation models and their validation under all sky conditions – case study: Tetuan city in northern of Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1432-1444.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:1432-1444
    DOI: 10.1016/j.rser.2015.12.354
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    References listed on IDEAS

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    1. Li, Huashan & Bu, Xianbiao & Lian, Yongwang & Zhao, Liang & Ma, Weibin, 2012. "Further investigation of empirically derived models with multiple predictors in estimating monthly average daily diffuse solar radiation over China," Renewable Energy, Elsevier, vol. 44(C), pages 469-473.
    2. Wong, L. T. & Chow, W. K., 2001. "Solar radiation model," Applied Energy, Elsevier, vol. 69(3), pages 191-224, July.
    3. El Mghouchi, Y. & Ajzoul, T. & El Bouardi, A., 2016. "Prediction of daily solar radiation intensity by day of the year in twenty-four cities of Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 823-831.
    4. Kousksou, T. & Allouhi, A. & Belattar, M. & Jamil, A. & El Rhafiki, T. & Arid, A. & Zeraouli, Y., 2015. "Renewable energy potential and national policy directions for sustainable development in Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 46-57.
    5. Pandey, Chanchal Kumar & Katiyar, A.K., 2009. "A comparative study to estimate daily diffuse solar radiation over India," Energy, Elsevier, vol. 34(11), pages 1792-1796.
    6. Batlles, F.J. & Rubio, M.A. & Tovar, J. & Olmo, F.J. & Alados-Arboledas, L., 2000. "Empirical modeling of hourly direct irradiance by means of hourly global irradiance," Energy, Elsevier, vol. 25(7), pages 675-688.
    7. Li, Huashan & Ma, Weibin & Wang, Xianlong & Lian, Yongwang, 2011. "Estimating monthly average daily diffuse solar radiation with multiple predictors: A case study," Renewable Energy, Elsevier, vol. 36(7), pages 1944-1948.
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    Cited by:

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    2. Wang, Lunche & Kisi, Ozgur & Zounemat-Kermani, Mohammad & Salazar, Germán Ariel & Zhu, Zhongmin & Gong, Wei, 2016. "Solar radiation prediction using different techniques: model evaluation and comparison," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 384-397.
    3. Hassan, Gasser E. & Youssef, M. Elsayed & Mohamed, Zahraa E. & Ali, Mohamed A. & Hanafy, Ahmed A., 2016. "New Temperature-based Models for Predicting Global Solar Radiation," Applied Energy, Elsevier, vol. 179(C), pages 437-450.

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