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Use of HR Meteosat images for the mapping of global solar irradiation in Tunisia: preliminary results and comparison with Wefax images

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  • Chaabane, M
  • Ben Djemaa, A

Abstract

The evaluation of the incident solar energy on a given site becomes at the present time, one of the needs of the users and the manufacturers of energetic solar systems. For this purpose, we have developed, in collaboration with the Energy Climate Laboratory of Avignon University (France), an assessment method (GISTEL) of solar irradiation using Meteosat satellite images.

Suggested Citation

  • Chaabane, M & Ben Djemaa, A, 2002. "Use of HR Meteosat images for the mapping of global solar irradiation in Tunisia: preliminary results and comparison with Wefax images," Renewable Energy, Elsevier, vol. 25(1), pages 139-151.
  • Handle: RePEc:eee:renene:v:25:y:2002:i:1:p:139-151
    DOI: 10.1016/S0960-1481(01)00002-7
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    1. Hdiji, S. & Chaâbane, M. & Kossentini, A. & Ben Djemaa, A., 1998. "Spatial and temporal variations of the coefficient of reflection to solar radiation of the surface ground in Tunisia measured from METEOSAT B2 images," Renewable Energy, Elsevier, vol. 13(3), pages 285-294.
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    Cited by:

    1. Janjai, S. & Pankaew, P. & Laksanaboonsong, J. & Kitichantaropas, P., 2011. "Estimation of solar radiation over Cambodia from long-term satellite data," Renewable Energy, Elsevier, vol. 36(4), pages 1214-1220.
    2. Janjai, Serm & Masiri, Itsara & Laksanaboonsong, Jarungsaeng, 2013. "Satellite-derived solar resource maps for Myanmar," Renewable Energy, Elsevier, vol. 53(C), pages 132-140.
    3. Chaabene, Maher & Ben Ammar, Mohsen, 2008. "Neuro-fuzzy dynamic model with Kalman filter to forecast irradiance and temperature for solar energy systems," Renewable Energy, Elsevier, vol. 33(7), pages 1435-1443.

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