Abstract
Solar radiation derived from geostationary satellite images has become an advantageous technique for solar resource characterisation over large areas. The simplest methods for estimate solar radiation from the satellite information rely on straight forward relationships between a normalised parameter of the solar irradiance (such as clearness or clear sky index) and the cloud index. This paper presents a statistical fit of this relationship (fitted and tested using data from 28 Spanish radiometric station) different from the approach used by Heliosat-2 method (Rigollier, C., Lefèvre, M., Wald, L., 2004. The method Heliosat-2 for deriving shortwave solar radiation from satellite images. Solar Energy 77, 159-169), that includes local statistical measures of the cloud index distribution and the air mass. In particular, the inclusion of the local cloud index percentiles (median, first and third quartile) estimated from the whole series on each pixel improves clearly the model response, and is a way to account for the local climatological aspects of any location. The inclusion of the new explicative variables yield to practically unbiased results and the relative RMSE decrease to about 17% from the 21% result of the expression applied in the Heliosat-2 model.
| Original language | English |
|---|---|
| Pages (from-to) | 480-484 |
| Number of pages | 5 |
| Journal | Solar Energy |
| Volume | 83 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2009 |
| Externally published | Yes |
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Keywords
- Clear sky index
- Cloud index
- Heliosat
- Meteosat
- Satellite
- Solar radiation
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Materials Science(all)
Cite this
A new statistical approach for deriving global solar radiation from satellite images. / Zarzalejo, Luis F.; Polo, Jesús; Martin Pomare Pomares, Luis; Ramírez, Lourdes; Espinar, Bella.
In: Solar Energy, Vol. 83, No. 4, 04.2009, p. 480-484.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A new statistical approach for deriving global solar radiation from satellite images
AU - Zarzalejo, Luis F.
AU - Polo, Jesús
AU - Martin Pomare Pomares, Luis
AU - Ramírez, Lourdes
AU - Espinar, Bella
PY - 2009/4
Y1 - 2009/4
N2 - Solar radiation derived from geostationary satellite images has become an advantageous technique for solar resource characterisation over large areas. The simplest methods for estimate solar radiation from the satellite information rely on straight forward relationships between a normalised parameter of the solar irradiance (such as clearness or clear sky index) and the cloud index. This paper presents a statistical fit of this relationship (fitted and tested using data from 28 Spanish radiometric station) different from the approach used by Heliosat-2 method (Rigollier, C., Lefèvre, M., Wald, L., 2004. The method Heliosat-2 for deriving shortwave solar radiation from satellite images. Solar Energy 77, 159-169), that includes local statistical measures of the cloud index distribution and the air mass. In particular, the inclusion of the local cloud index percentiles (median, first and third quartile) estimated from the whole series on each pixel improves clearly the model response, and is a way to account for the local climatological aspects of any location. The inclusion of the new explicative variables yield to practically unbiased results and the relative RMSE decrease to about 17% from the 21% result of the expression applied in the Heliosat-2 model.
AB - Solar radiation derived from geostationary satellite images has become an advantageous technique for solar resource characterisation over large areas. The simplest methods for estimate solar radiation from the satellite information rely on straight forward relationships between a normalised parameter of the solar irradiance (such as clearness or clear sky index) and the cloud index. This paper presents a statistical fit of this relationship (fitted and tested using data from 28 Spanish radiometric station) different from the approach used by Heliosat-2 method (Rigollier, C., Lefèvre, M., Wald, L., 2004. The method Heliosat-2 for deriving shortwave solar radiation from satellite images. Solar Energy 77, 159-169), that includes local statistical measures of the cloud index distribution and the air mass. In particular, the inclusion of the local cloud index percentiles (median, first and third quartile) estimated from the whole series on each pixel improves clearly the model response, and is a way to account for the local climatological aspects of any location. The inclusion of the new explicative variables yield to practically unbiased results and the relative RMSE decrease to about 17% from the 21% result of the expression applied in the Heliosat-2 model.
KW - Clear sky index
KW - Cloud index
KW - Heliosat
KW - Meteosat
KW - Satellite
KW - Solar radiation
UR - http://www.scopus.com/inward/record.url?scp=61849125714&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=61849125714&partnerID=8YFLogxK
U2 - 10.1016/j.solener.2008.09.006
DO - 10.1016/j.solener.2008.09.006
M3 - Article
AN - SCOPUS:61849125714
VL - 83
SP - 480
EP - 484
JO - Solar Energy
JF - Solar Energy
SN - 0038-092X
IS - 4
ER -