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Prediction of diffuse radiation in solar energy applications: Turkey case study and compare with satellite data

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  • Bakirci, Kadir

Abstract

In solar engineering applications, the components of the solar radiation a location must be known to design the systems. Due to the difficulties in the diffuse solar radiation (DSR) measurements, as this component has not been measured in everyplace, the DSR models have been established for various locations over the world. In this study, the models developed to constitute a relation between the monthly mean daily diffuse fraction and diffuse coefficient with clearness index and sunshine fraction in the open literature for Turkey are reviewed. In addition, the comparisons of the DSR values taken from the NASA – Surface meteorology and Solar Energy (NASA-SSE) and computed from the best models for example two cities are carried out. The performances of the models are investigated by various statistical test techniques. These statistical test techniques are root mean square error (RMSE) and mean absolute error (MAE). The statistical comparisons show that the best models give well agreement with the DSR values taken from the NASA-SSE. The difference between the yearly total DSR calculated from the best models and NASA-SSE is approximately 1.94% for Erzurum and 0.57% for Gebze.

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  • Bakirci, Kadir, 2021. "Prediction of diffuse radiation in solar energy applications: Turkey case study and compare with satellite data," Energy, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221017758
    DOI: 10.1016/j.energy.2021.121527
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    1. Elminir, Hamdy K., 2007. "Experimental and theoretical investigation of diffuse solar radiation: Data and models quality tested for Egyptian sites," Energy, Elsevier, vol. 32(1), pages 73-82.
    2. Wang, Lunche & Lu, Yunbo & Zou, Ling & Feng, Lan & Wei, Jing & Qin, Wenmin & Niu, Zigeng, 2019. "Prediction of diffuse solar radiation based on multiple variables in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 151-216.
    3. Taşdemiroğlu, E & Sever, R, 1991. "Estimation of monthly average, daily, horizontal diffuse radiation in Turkey," Energy, Elsevier, vol. 16(4), pages 787-790.
    4. Yang, Liu & Cao, Qimeng & Yu, Ying & Liu, Yan, 2020. "Comparison of daily diffuse radiation models in regions of China without solar radiation measurement," Energy, Elsevier, vol. 191(C).
    5. Sabzpooshani, Majid & Mohammadi, Kasra, 2014. "Establishing new empirical models for predicting monthly mean horizontal diffuse solar radiation in city of Isfahan, Iran," Energy, Elsevier, vol. 69(C), pages 571-577.
    6. Badescu, Viorel & Gueymard, Christian A. & Cheval, Sorin & Oprea, Cristian & Baciu, Madalina & Dumitrescu, Alexandru & Iacobescu, Flavius & Milos, Ioan & Rada, Costel, 2012. "Computing global and diffuse solar hourly irradiation on clear sky. Review and testing of 54 models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1636-1656.
    7. 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.
    8. Bakirci, Kadir, 2009. "Models of solar radiation with hours of bright sunshine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2580-2588, December.
    9. Fan, Junliang & Wu, Lifeng & Zhang, Fucang & Cai, Huanjie & Ma, Xin & Bai, Hua, 2019. "Evaluation and development of empirical models for estimating daily and monthly mean daily diffuse horizontal solar radiation for different climatic regions of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 168-186.
    10. WenminQin, & Wang, Lunche & Gueymard, Christian A. & Bilal, Muhammad & Lin, Aiwen & Wei, Jing & Zhang, Ming & Yang, Xuefang, 2020. "Constructing a gridded direct normal irradiance dataset in China during 1981–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    11. 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.
    12. Bakirci, Kadir, 2015. "Models for the estimation of diffuse solar radiation for typical cities in Turkey," Energy, Elsevier, vol. 82(C), pages 827-838.
    13. Feng, Lan & Lin, Aiwen & Wang, Lunche & Qin, Wenmin & Gong, Wei, 2018. "Evaluation of sunshine-based models for predicting diffuse solar radiation in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 168-182.
    14. Ener Rusen, Selmin & Konuralp, Aycan, 2020. "Quality control of diffuse solar radiation component with satellite-based estimation methods," Renewable Energy, Elsevier, vol. 145(C), pages 1772-1779.
    15. Song, Zhe & Ren, Zhigang & Deng, Qinli & Kang, Xin & Zhou, Mi & Liu, Daoru & Chen, Xin, 2020. "General models for estimating daily and monthly mean daily diffuse solar radiation in China's subtropical monsoon climatic zone," Renewable Energy, Elsevier, vol. 145(C), pages 318-332.
    16. Bulut, Hüsamettin & Büyükalaca, Orhan, 2007. "Simple model for the generation of daily global solar-radiation data in Turkey," Applied Energy, Elsevier, vol. 84(5), pages 477-491, May.
    17. El-Sebaii, A.A. & Al-Hazmi, F.S. & Al-Ghamdi, A.A. & Yaghmour, S.J., 2010. "Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia," Applied Energy, Elsevier, vol. 87(2), pages 568-576, February.
    18. Boland, John & Ridley, Barbara & Brown, Bruce, 2008. "Models of diffuse solar radiation," Renewable Energy, Elsevier, vol. 33(4), pages 575-584.
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    2. Kong, Xiangfei & Du, Xinyu & Xue, Guixiang & Xu, Zhijie, 2023. "Multi-step short-term solar radiation prediction based on empirical mode decomposition and gated recurrent unit optimized via an attention mechanism," Energy, Elsevier, vol. 282(C).

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