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A proposed methodology for quick assessment of timestamp and quality control results of solar radiation data

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  • Moreno-Tejera, S.
  • Ramírez-Santigosa, L.
  • Silva-Pérez, M.A.

Abstract

To evaluate the solar resource at a site, the period of measurements analyzed must be as long as possible. In solar radiation database, a quality control that identifies errors and labels the data by means of different flags or indicators is fundamental. Reading and interpretation of flagged data can usually be tedious due to the large numbers of data that have to be handled.

Suggested Citation

  • Moreno-Tejera, S. & Ramírez-Santigosa, L. & Silva-Pérez, M.A., 2015. "A proposed methodology for quick assessment of timestamp and quality control results of solar radiation data," Renewable Energy, Elsevier, vol. 78(C), pages 531-537.
    • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:531-537
    DOI: 10.1016/j.renene.2015.01.031
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    References listed on IDEAS

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    1. Tapakis, R. & Charalambides, A.G., 2014. "Enhanced values of global irradiance due to the presence of clouds in Eastern Mediterranean," Renewable Energy, Elsevier, vol. 62(C), pages 459-467.
    2. Younes, S. & Claywell, R. & Muneer, T., 2005. "Quality control of solar radiation data: Present status and proposed new approaches," Energy, Elsevier, vol. 30(9), pages 1533-1549.
    3. Hay, John E., 1993. "Solar radiation data: Validation and quality control," Renewable Energy, Elsevier, vol. 3(4), pages 349-355.
    4. Moradi, Isaac, 2009. "Quality control of global solar radiation using sunshine duration hours," Energy, Elsevier, vol. 34(1), pages 1-6.
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    Cited by:

    1. Ziyati, Dounia & Dollet, Alain & Flamant, Gilles & Volut, Yann & Guillot, Emmanuel & Vossier, Alexis, 2021. "A multiphysics model of large-scale compact PV–CSP hybrid plants," Applied Energy, Elsevier, vol. 288(C).
    2. Meybodi, Mehdi Aghaei & Ramirez Santigosa, Lourdes & Beath, Andrew C., 2017. "A study on the impact of time resolution in solar data on the performance modelling of CSP plants," Renewable Energy, Elsevier, vol. 109(C), pages 551-563.
    3. Moreno-Tejera, S. & Silva-Pérez, M.A. & Ramírez-Santigosa, L. & Lillo-Bravo, I., 2018. "Evaluation of classification methods according to solar radiation features from the viewpoint of the production of parabolic trough CSP plants," Renewable Energy, Elsevier, vol. 121(C), pages 429-440.

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