Correcting satellite derived DNI with systematic and seasonal deviations: Application to India. (August 2015)

• Record Type: Journal Article
• Authors: Polo, J.; Martín, L.; Vindel, J.M.
• Is Part Of: Renewable energy. Volume 80(2015)
• Page Start: 238
• Page End: 243
• Publication Date: 2015-08
• Subjects: Solar radiation -- Bias removal -- Satellite-derived solar radiation; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2015.02.031
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: A simple method for correcting satellite-derived direct normal irradiance, with important deviations to the experimental data, is presented in this work and illustrated for the particular case of Rajasthan (India). Northwest India is expected to have a high level of solar radiation and it is an interesting area for solar concentrating power systems. However uncertainty in direct normal irradiance estimations from satellite may affect negatively to the bankability of solar plants. Direct normal irradiance have been estimated for a site in Rajasthan from satellite information for the period 2003 to 2011, and ground measurements during 2011 have been used to analyze the uncertainties and to develop a simple correction method. The original satellite estimations showed important deviations from the experimental values and high bias. A systematic underestimation of direct irradiance has been observed during the dryer seasons that could be attributed to an overestimation of the aerosol optical depth input to the model. These observations have allowed the design of a correction methodology. Unbiased new estimations of direct normal irradiance have been generated with this methodology with important reduction in the deviations and with an agreement in the distribution functions compared to the distribution function of the ground data. Highlights: DNI estimations in Rajasthan need of accurate AOD knowledge. Uncertainty of satellite-derived DNI has an impact in CSP bankability. Correction methods applied improve reliability of long term DNI derived data.