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A simple and efficient procedure for increasing the temporal resolution of global horizontal solar irradiance series

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  • Fernández-Peruchena, Carlos M.
  • Gastón, Martín

Abstract

The intermittent nature of instantaneous solar radiation has a considerable impact on the nonlinear behavior of solar energy conversion systems. The time resolution of the Numerical Weather Prediction Models (NWPM) or satellite derived solar irradiance data are typically limited to 1-h (at best 15-min). Unfortunately, this resolution is not sufficient in the design and performance of many solar systems. In this study, a new methodology has been developed to increase the temporal resolution of GHI series from 1-h to 1-min. This methodology uses the clearness index kt (the ratio of GHI to top-of-atmosphere irradiance on the same plane) to characterize the GHI high-frequency dynamics from a 1-year measurement campaign at a given site. The evaluation of the method with 2 years of measured data in different climatic zones has resulted in KSI(%) (Kolmogorov–Smirnov test Integral parameter) and normalized root mean square deviation values below 8.0% and 1.7% respectively for each month, with negligible bias. Indicators of overall performance show an excellent agreement between measured and modeled 1-min GHI data for each month: average values for Nash-Sutcliffe efficiency, Willmott index of agreement and Legates coefficient of efficiency are found to be 0.94, 0.99 and 1.00, respectively.

Suggested Citation

  • Fernández-Peruchena, Carlos M. & Gastón, Martín, 2016. "A simple and efficient procedure for increasing the temporal resolution of global horizontal solar irradiance series," Renewable Energy, Elsevier, vol. 86(C), pages 375-383.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:375-383
    DOI: 10.1016/j.renene.2015.08.004
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    References listed on IDEAS

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    1. Pagola, Iñigo & Gastón, Martín & Fernández-Peruchena, Carlos & Moreno, Sara & Ramírez, Lourdes, 2010. "New methodology of solar radiation evaluation using free access databases in specific locations," Renewable Energy, Elsevier, vol. 35(12), pages 2792-2798.
    2. Tovar, J & Olmo, F.J & Batlles, F.J & Alados-Arboledas, L, 2001. "Dependence of one-minute global irradiance probability density distributions on hourly irradiation," Energy, Elsevier, vol. 26(7), pages 659-668.
    3. Gueymard, Christian A., 2014. "A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 1024-1034.
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