Benchmark of algorithms for solar clear-sky detection

  1. Alia-Martinez, M. 1
  2. Antonanzas, J. 1
  3. Urraca, R. 1
  4. Martinez-De-Pison, F.J. 1
  5. Antonanzas-Torres, F. 1
  1. 1 Universidad de La Rioja
    info

    Universidad de La Rioja

    Logroño, España

    ROR https://ror.org/0553yr311

Revista:
Journal of Renewable and Sustainable Energy

ISSN: 1941-7012

Año de publicación: 2016

Volumen: 8

Número: 3

Tipo: Artículo

DOI: 10.1063/1.4950948 SCOPUS: 2-s2.0-84971321410 WoS: WOS:000379170900014 GOOGLE SCHOLAR

Otras publicaciones en: Journal of Renewable and Sustainable Energy

Resumen

Nowadays, solar resource estimation via clear-sky models is widely accepted when correctly validated with on ground records. In the past, different approaches have been proposed in order to determine clear-sky periods of solar radiation on-ground records: visual inspection of registers, discretization via a threshold value of clear sky index, and correlation with estimated clear sky solar irradiation. However, due to the fact that the process must be automated and the need for universality, the search for clear-sky conditions presents a challenging feat. This study proposes a new algorithm based on the persistent value of the Linke turbidity in conjunction with a transitory filter. The determinant of the correlation matrix of estimated clear-sky solar irradiance and measured irradiance is calculated to distinguish between days under clear-sky conditions and cloudy or overcast days. The method was compared and proved superior against a review of other 10 commonly used techniques at 21 sites of the Baseline Surface Radiation Network, which includes diverse climates and terrain. © 2016 Author(s).