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Correlations to estimate monthly mean daily solar global irradiation: application to Romania

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  • Badescu, Viorel

Abstract

Seven existing relationships between monthly mean clearness index and the number of bright sunshine hours are tested under the climate and latitude of Romania. New (best-fit) correlations are derived. They use bright sunshine hour number or fractional total cloud amount as input. The dependence of the new sunshine-based regressions on month is stronger than their dependence on latitude. They generally underestimate the clearness index in the first half-year and overestimate it in the rest of the year. The accuracy of the new regression seems not to depend significantly on the year.

Suggested Citation

  • Badescu, Viorel, 1999. "Correlations to estimate monthly mean daily solar global irradiation: application to Romania," Energy, Elsevier, vol. 24(10), pages 883-893.
  • Handle: RePEc:eee:energy:v:24:y:1999:i:10:p:883-893
    DOI: 10.1016/S0360-5442(99)00027-4
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Karaveli, Abdullah Bugrahan & Soytas, Ugur & Akinoglu, Bulent G., 2015. "Comparison of large scale solar PV (photovoltaic) and nuclear power plant investments in an emerging market," Energy, Elsevier, vol. 84(C), pages 656-665.
    3. Besharat, Fariba & Dehghan, Ali A. & Faghih, Ahmad R., 2013. "Empirical models for estimating global solar radiation: A review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 798-821.
    4. Ghimire, Sujan & Deo, Ravinesh C. & Casillas-Pérez, David & Salcedo-Sanz, Sancho, 2022. "Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Deep Residual model for short-term multi-step solar radiation prediction," Renewable Energy, Elsevier, vol. 190(C), pages 408-424.
    5. Kaba, Kazım & Sarıgül, Mehmet & Avcı, Mutlu & Kandırmaz, H. Mustafa, 2018. "Estimation of daily global solar radiation using deep learning model," Energy, Elsevier, vol. 162(C), pages 126-135.
    6. Ozden, Talat & Akinoglu, Bulent G. & Turan, Rasit, 2017. "Long term outdoor performances of three different on-grid PV arrays in central Anatolia – An extended analysis," Renewable Energy, Elsevier, vol. 101(C), pages 182-195.
    7. Marek Brabec & Viorel Badescu & Marius Paulescu, 2014. "Cloud shade by dynamic logistic modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1174-1188, June.
    8. Paulescu, Marius & Badescu, Viorel & Brabec, Marek, 2013. "Tools for PV (photovoltaic) plant operators: Nowcasting of passing clouds," Energy, Elsevier, vol. 54(C), pages 104-112.
    9. Zang, Haixiang & Xu, Qingshan & Bian, Haihong, 2012. "Generation of typical solar radiation data for different climates of China," Energy, Elsevier, vol. 38(1), pages 236-248.
    10. 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.
    11. Prieto, Jesús-Ignacio & García, David, 2022. "Global solar radiation models: A critical review from the point of view of homogeneity and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    12. Kostić, Rastko & Mikulović, Jovan, 2017. "The empirical models for estimating solar insolation in Serbia by using meteorological data on cloudiness," Renewable Energy, Elsevier, vol. 114(PB), pages 1281-1293.
    13. Chang, Kai & Zhang, Qingyuan, 2019. "Improvement of the hourly global solar model and solar radiation for air-conditioning design in China," Renewable Energy, Elsevier, vol. 138(C), pages 1232-1238.
    14. 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.
    15. Kaplani, E. & Kaplanis, S. & Mondal, S., 2018. "A spatiotemporal universal model for the prediction of the global solar radiation based on Fourier series and the site altitude," Renewable Energy, Elsevier, vol. 126(C), pages 933-942.
    16. Anton Vernet & Alexandre Fabregat, 2023. "Evaluation of Empirical Daily Solar Radiation Models for the Northeast Coast of the Iberian Peninsula," Energies, MDPI, vol. 16(6), pages 1-18, March.

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