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On the use of the coefficient of variation to measure spatial and temporal correlation of global solar radiation

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  • Calif, Rudy
  • Soubdhan, Ted

Abstract

In this work we perform a statistical analysis of global solar radiation measured at two sites, Petit Canal and Pointe a Pitre, 38 km distant from, Guadeloupe, French West Indies. We have established a correlation model based on the coefficient of variation assuming a time scale separation. The coefficient of variation is calculated on 10 min interval with data measured at 1 Hz. This analysis highlights the dynamic correlation that can occur between measurements from two different sites with a time step of 1 s. From these results, knowing the coefficient of variation on a site, we have established a new correlation model on this parameter for another site. A diagram linking the standard deviation for the studied sites, for a given coefficient of variation is proposed for correlated and non-correlated cases. Moreover this analysis evidences the existence of a threshold time under which there is no significant correlation. The methodology and the model can be applied to any other sites to establish diagrams of the coefficient of variation.

Suggested Citation

  • Calif, Rudy & Soubdhan, Ted, 2016. "On the use of the coefficient of variation to measure spatial and temporal correlation of global solar radiation," Renewable Energy, Elsevier, vol. 88(C), pages 192-199.
    • Handle: RePEc:eee:renene:v:88:y:2016:i:c:p:192-199
    DOI: 10.1016/j.renene.2015.10.049
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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. Calif, Rudy & Emilion, Richard & Soubdhan, Ted, 2011. "Classification of wind speed distributions using a mixture of Dirichlet distributions," Renewable Energy, Elsevier, vol. 36(11), pages 3091-3097.
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    Cited by:

    1. Habte, Aron & Sengupta, Manajit & Gueymard, Christian & Golnas, Anastasios & Xie, Yu, 2020. "Long-term spatial and temporal solar resource variability over America using the NSRDB version 3 (1998–2017)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

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