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Daily irradiance test signal for photovoltaic systems by selection from long-term data

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  • Avila, Alberto
  • Vizcaya, Pedro R.
  • Diez, Rafael

Abstract

When performing tests on a photovoltaic energy conversion system, it is useful to have a daily-term irradiance profile which, in some way, represents the typical behavior of this variable at a desired geographic location, including fast changes caused by weather. Therefore, the objective of this work is to propose a simple methodology, to choose a representative daily-duration irradiance signal, from long-term irradiance data. This is accomplished, by means of quantifying the irradiance variability, and considering the total daily energy. A method to combine these two factors, is proposed and employed in the selection the most representative day; it is also used to search for extreme condition days.

Suggested Citation

  • Avila, Alberto & Vizcaya, Pedro R. & Diez, Rafael, 2019. "Daily irradiance test signal for photovoltaic systems by selection from long-term data," Renewable Energy, Elsevier, vol. 131(C), pages 755-762.
    • Handle: RePEc:eee:renene:v:131:y:2019:i:c:p:755-762
    DOI: 10.1016/j.renene.2018.07.071
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    References listed on IDEAS

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    1. Notton, G. & Cristofari, C. & Poggi, P. & Muselli, M., 2002. "Calculation of solar irradiance profiles from hourly data to simulate energy systems behaviour," Renewable Energy, Elsevier, vol. 27(1), pages 123-142.
    2. Czekalski, D. & Chochowski, A. & Obstawski, P., 2012. "Parameterization of daily solar irradiance variability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2461-2467.
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    Cited by:

    1. Hartmann, Bálint, 2020. "Comparing various solar irradiance categorization methods – A critique on robustness," Renewable Energy, Elsevier, vol. 154(C), pages 661-671.

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