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Evaluation of classical parametric models for estimating solar radiation in the Eastern Mediterranean region of Turkey

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  • Yıldırım, H. Başak
  • Teke, Ahmet
  • Antonanzas-Torres, Fernando

Abstract

Accurate information on global solar radiation is essential to design and operate the systems that are based on solar energy. However, global solar radiation measurement is very rare while the measurements of other meteorological parameters such as air temperature, relative humidity, sunshine duration and precipitation are common in meteorological stations all around the world. Therefore, modelling global solar radiation is an important issue to fill the gaps in database and to estimate global solar radiation in places where global solar radiation measurement is not available. There are many different approaches in the literature for modelling global solar radiation.

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  • Yıldırım, H. Başak & Teke, Ahmet & Antonanzas-Torres, Fernando, 2018. "Evaluation of classical parametric models for estimating solar radiation in the Eastern Mediterranean region of Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2053-2065.
  • Handle: RePEc:eee:rensus:v:82:y:2018:i:p3:p:2053-2065
    DOI: 10.1016/j.rser.2017.08.033
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    1. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2012. "A review of solar energy modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2864-2869.
    2. El-Sebaii, A.A. & Al-Ghamdi, A.A. & Al-Hazmi, F.S. & Faidah, Adel S., 2009. "Estimation of global solar radiation on horizontal surfaces in Jeddah, Saudi Arabia," Energy Policy, Elsevier, vol. 37(9), pages 3645-3649, September.
    3. Jahani, Babak & Dinpashoh, Y. & Raisi Nafchi, Atefeh, 2017. "Evaluation and development of empirical models for estimating daily solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 878-891.
    4. Rusen, Selmin Ener & Hammer, Annette & Akinoglu, Bulent G., 2013. "Coupling satellite images with surface measurements of bright sunshine hours to estimate daily solar irradiation on horizontal surface," Renewable Energy, Elsevier, vol. 55(C), pages 212-219.
    5. Liu, Jiandong & Linderholm, Hans & Chen, Deliang & Zhou, Xiuji & Flerchinger, Gerald N. & Yu, Qiang & Du, Jun & Wu, Dingrong & Shen, Yanbo & Yang, Zhenbin, 2015. "Changes in the relationship between solar radiation and sunshine duration in large cities of China," Energy, Elsevier, vol. 82(C), pages 589-600.
    6. Trabea, A.A. & Shaltout, M.A.Mosalam, 2000. "Correlation of global solar radiation with meteorological parameters over Egypt," Renewable Energy, Elsevier, vol. 21(2), pages 297-308.
    7. Paulescu, M. & Stefu, N. & Calinoiu, D. & Paulescu, E. & Pop, N. & Boata, R. & Mares, O., 2016. "Ångström–Prescott equation: Physical basis, empirical models and sensitivity analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 495-506.
    8. Antonanzas-Torres, F. & Sanz-Garcia, A. & Martínez-de-Pisón, F.J. & Perpiñán-Lamigueiro, O., 2013. "Evaluation and improvement of empirical models of global solar irradiation: Case study northern Spain," Renewable Energy, Elsevier, vol. 60(C), pages 604-614.
    9. Ener Rusen, Selmin & Hammer, Annette & Akinoglu, Bulent G., 2013. "Estimation of daily global solar irradiation by coupling ground measurements of bright sunshine hours to satellite imagery," Energy, Elsevier, vol. 58(C), pages 417-425.
    10. Ododo, J.C. & Sulaiman, A.T. & Aidan, J. & Yuguda, M.M. & Ogbu, F.A., 1995. "The importance of maximum air temperature in the parameterisation of solar radiation in Nigeria," Renewable Energy, Elsevier, vol. 6(7), pages 751-763.
    11. Wong, L. T. & Chow, W. K., 2001. "Solar radiation model," Applied Energy, Elsevier, vol. 69(3), pages 191-224, July.
    12. Zhang, Jianyuan & Zhao, Li & Deng, Shuai & Xu, Weicong & Zhang, Ying, 2017. "A critical review of the models used to estimate solar radiation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 314-329.
    13. Almorox, Javier & Bocco, Mónica & Willington, Enrique, 2013. "Estimation of daily global solar radiation from measured temperatures at Cañada de Luque, Córdoba, Argentina," Renewable Energy, Elsevier, vol. 60(C), pages 382-387.
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    2. Chen, Ji-Long & He, Lei & Yang, Hong & Ma, Maohua & Chen, Qiao & Wu, Sheng-Jun & Xiao, Zuo-lin, 2019. "Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 91-111.
    3. Qin, Shujing & Liu, Zhihe & Qiu, Rangjian & Luo, Yufeng & Wu, Jingwei & Zhang, Baozhong & Wu, Lifeng & Agathokleous, Evgenios, 2023. "Short–term global solar radiation forecasting based on an improved method for sunshine duration prediction and public weather forecasts," Applied Energy, Elsevier, vol. 343(C).

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