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Santos, Jose Manuel et al. Comparing several proceedings of estimating the available solar radiation, with data measured in the university of Vigo radiometric station. 2005 SOLAR WORLD CONGRESS, 2005, Orlando, Flórida.
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Número de Trabalhos: 1 (Nenhum com arquivo PDF disponível)
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Abstract

The use of three database and computing methods to estimate the available solar radiation at ground level are investigated: i) interpolation techniques applied to the solar data of the radiometric stations owned by the regional government of Galicia (Spain) by means of Arcgis software, ii) the software Meteonorm, and iii) the method Heliosat-2 applied to images taken by the Meteosat-6 satellite in the Rapid Scan Service (RSS) for the year 2002, and supplied by EUMETSAT Archive Retrieval Facility. The elevation of the ground and Linke turbidity factor databases, needed by the Heliosat-2 method, are calculated from the Global Land One-km Base Elevation (GLOBE) database and the Institute for Environment and Sustainability (IES) database, respectively. The solar radiation estimated with each one of the three proceedings for the site where the University of Vigo Solar Lab weather station is located is tested against the data measured in the station. Estimated monthly average daily irradiations are plotted against the measured data, and their linear correlations are fitted. The better correlation coefficient is obtained with the Heliosat-2 method and satellite images database (r2=0.9955), followed by that obtained with Meteonorm software (r2=0.9898), and the worst is that obtained with the ground stations data and interpolation techniques (r2=0.9436). The conclusion that Heliosat-2 method gives better results than the interpolation with ground stations data confirms the results of previous works. The Heliosat- 2 method slightly underestimates the solar radiation in spring and summer, and overestimates it in fall and winter. The comparison of the correlation coefficients obtained with the Heliosat-2 method for daily, hourly and minute correlations show that the shorter the period of time the weaker the correlation.
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