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A simplified method for estimating direct normal solar irradiation from global horizontal irradiation useful for CPV applications

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  • Pérez-Higueras, P.J.
  • Rodrigo, P.
  • Fernández, E.F.
  • Almonacid, F.
  • Hontoria, L.

Abstract

The design and analysis of CPV systems require knowledge of direct normal solar irradiation but ground-based measurements of these data are only available for very few locations. Nowadays, meteorological databases that estimate direct normal irradiation from satellite images and other data sources are used. However, values provided by the different existing databases show large dispersion due to different estimation methods, input data and base years. In this paper, a simplified method for calculating direct normal irradiation is presented. It has been obtained from previous models proposed by several authors. One of its advantages is that it only requires latitude and global horizontal irradiation as input data. As global irradiation is easy to find or measure, the procedure becomes a useful tool in renewable energy applications. The accuracy of this method is similar to that of the existing databases and it is able to easily generate a mass of direct normal irradiation data for different areas worldwide.

Suggested Citation

  • Pérez-Higueras, P.J. & Rodrigo, P. & Fernández, E.F. & Almonacid, F. & Hontoria, L., 2012. "A simplified method for estimating direct normal solar irradiation from global horizontal irradiation useful for CPV applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5529-5534.
    • Handle: RePEc:eee:rensus:v:16:y:2012:i:8:p:5529-5534
    DOI: 10.1016/j.rser.2012.05.041
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    Citations

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    Cited by:

    1. Boland, John & Huang, Jing & Ridley, Barbara, 2013. "Decomposing global solar radiation into its direct and diffuse components," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 749-756.
    2. Rodrigo, P. & Fernández, Eduardo F. & Almonacid, F. & Pérez-Higueras, P.J., 2013. "Outdoor measurement of high concentration photovoltaic receivers operating with partial shading on the primary optics," Energy, Elsevier, vol. 61(C), pages 583-588.
    3. Kambezidis, H.D. & Psiloglou, B.E. & Karagiannis, D. & Dumka, U.C. & Kaskaoutis, D.G., 2017. "Meteorological Radiation Model (MRM v6.1): Improvements in diffuse radiation estimates and a new approach for implementation of cloud products," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 616-637.
    4. Gandoman, Foad H. & Abdel Aleem, Shady H.E. & Omar, Noshin & Ahmadi, Abdollah & Alenezi, Faisal Q., 2018. "Short-term solar power forecasting considering cloud coverage and ambient temperature variation effects," Renewable Energy, Elsevier, vol. 123(C), pages 793-805.
    5. Rodrigo, P. & Fernández, E.F. & Almonacid, F. & Pérez-Higueras, P.J., 2014. "Review of methods for the calculation of cell temperature in high concentration photovoltaic modules for electrical characterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 478-488.
    6. Wang, Yunjie & Yang, Huihan & Chen, Haifei & Yu, Bendong & Zhang, Haohua & Zou, Rui & Ren, Shaoyang, 2023. "A review: The development of crucial solar systems and corresponding cooling technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    7. Hernández-Moro, J. & Martínez-Duart, J.M., 2013. "Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 119-132.

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