Evaluation of the Heliosat-II method using daily irradiation data for four stations in Iran

• Published in: Solar energy 2009-01, Vol.83 (2), p.150-156
• Main Authors: Moradi, Isaac, Mueller, Richard, Alijani, Bohloul, Kamali, Gholam Ali
• Format: Article
• Language: English
• Subjects: Algorithms; Applied sciences; Energy; Exact sciences and technology; Geostationary satellite; Heliosat; Iran; Meteosat; Methods; Natural energy; Renewable resources; Rymdteknik; Satellites; Solar energy; Solar radiation; Solar radiation atlas; Space Technology; Sun
• ISSN: 0038-092X; 1471-1257; 1471-1257
• DOI: 10.1016/j.solener.2008.07.010

Efficient use of solar radiation needs detailed knowledge of its spatial and temporal variations. Such information can be achieved using interpolating measured irradiance by ground stations. But more reliable results can be obtained by processing geostationary satellite images. Heliosat is an algorithm which has been developed to estimate global horizontal irradiance at ground level from images taken in the visible band by the Meteosat satellites. The aim of this study was to evaluate the Heliosat-II model by using daily global solar irradiation data measured at the four radiometric stations in Iran as well as Meteosat-5 images which are recorded by a spacecraft over 63°E. Mean RMSD% and MBD% for all stations were 11.7% and 1.9%, respectively. The mean values of intercept, slope and correlation coefficient were 0.82 (kWh m −2), 1.05 and 0.93, respectively. Seasonally, the maximum RMSD occurs in autumn (22.1%) and the minimum is experienced in spring (8.4%). This accuracy is a great achievement for producing a high quality solar radiation atlas in a country such as Iran with very sparse radiometric network and frequently unreliable measured irradiation data.