Abstract

LAVORATO, M.B; LAKKIS, S. G  and  CANZIANI, P. O. Solar radiation: regression methods for data period 2010-2013 in Buenos Aires. An. AFA [online]. 2015, vol.26, n.2, pp.59-64. ISSN 0327-358X.

In this paper different existing models for estimating global solar radiation were tested in Buenos Aires using commonly measured meteorological data as temperature and sunshine hours covering the years 2010-2013. The Servicio Meteorológico Nacional provided the sunshine hours data while solar radiation (±5%), atmospheric pressure (±0.2 hPa), temperature (±0.2 °C), the direction and speed of winds (±0.5 m/s) and precipitation (±0,5%) have been regularly measured by the automatic weather station operating at Pontificia Universidad Católica Argentina. The results, analyzed through statistical predictors, show that the best estimation for the incident solar radiation corresponds not only to temperature based models but also to those depending on sunshine hours such as that proposed by Angstrom-Prescott with a correlation coefficient close to 85%, and also to the one proposed with a exponential relationship with almost 90% of correlation.

Keywords : Monthly solar radiation; Empirical models; Statistical predictors.

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