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Evaluation of the Heliosat-II method using daily irradiation data for four stations in Iran
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Space Technology.
Department of Geography, Tarbiat Moalem University, Tehran.
German National Meteorological Service (DWD), Climate Monitoring Satellite Application Facility (CM-SAF), Offenbach.
Atmospheric Sciences and Meteorological Research Center, Tehran.
2009 (English)In: Solar Energy, ISSN 0038-092X, E-ISSN 1471-1257, Vol. 83, no 2, 150-156 p.Article in journal (Refereed) Published
Abstract [en]

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 (kWhm-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.

Place, publisher, year, edition, pages
2009. Vol. 83, no 2, 150-156 p.
National Category
Aerospace Engineering
Research subject
Space Technology
Identifiers
URN: urn:nbn:se:ltu:diva-13101DOI: 10.1016/j.solener.2008.07.010Local ID: c44e6600-e738-11dd-88bb-000ea68e967bOAI: oai:DiVA.org:ltu-13101DiVA: diva2:986052
Note
Validerad; 2009; 20090120 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-10-19Bibliographically approved

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