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Global solar irradiance in Cordoba: Clearness index distributions conditioned to the optical air mass

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  • Varo, M.
  • Pedrós, G.
  • Martínez-Jiménez, P.
  • Aguilera, M.J.

Abstract

The biological and photochemical effects of solar radiation and solar energy applications make it really important to characterize the variability of this component. In view of the fact that the clearness index indicates not only the level of availability of solar radiation but also the changes in atmospheric conditions in a given location, since the classic Liu and Jordan study, many papers have dealt with its statistical distribution. Specifically, Tovar et al. [Tovar J, Olmo FJ, Alados-Arboledas L. Solar Energy 1998;62(6):387–393] proposed a model to represent the probability density distributions of the instantaneous clearness index conditioned to the optical air mass from measurements recorded in Granada (Spain). In this work, we have proved the applicability of this model in a different location, Cordoba (Spain), finding that the parameters for fitting the model depend on both the optical air mass and the geographic and climatic conditions.

Suggested Citation

  • Varo, M. & Pedrós, G. & Martínez-Jiménez, P. & Aguilera, M.J., 2006. "Global solar irradiance in Cordoba: Clearness index distributions conditioned to the optical air mass," Renewable Energy, Elsevier, vol. 31(9), pages 1321-1332.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:9:p:1321-1332
    DOI: 10.1016/j.renene.2005.07.004
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    References listed on IDEAS

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    1. Santos, J.M. & Pinazo, J.M. & Cañada, J., 2003. "Methodology for generating daily clearness index index values Kt starting from the monthly average daily value K̄t. Determining the daily sequence using stochastic models," Renewable Energy, Elsevier, vol. 28(10), pages 1523-1544.
    2. López, G. & Batlles, F.J. & Tovar-Pescador, J., 2005. "Selection of input parameters to model direct solar irradiance by using artificial neural networks," Energy, Elsevier, vol. 30(9), pages 1675-1684.
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    1. Ayodele, T.R. & Ogunjuyigbe, A.S.O., 2015. "Prediction of monthly average global solar radiation based on statistical distribution of clearness index," Energy, Elsevier, vol. 90(P2), pages 1733-1742.

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