Articles | Volume 15
https://doi.org/10.5194/asr-15-51-2018
https://doi.org/10.5194/asr-15-51-2018
02 May 2018
 | 02 May 2018

An approach for the estimation of the aggregated photovoltaic power generated in several European countries from meteorological data

Yves-Marie Saint-Drenan, Lucien Wald, Thierry Ranchin, Laurent Dubus, and Alberto Troccoli

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Cited articles

BDPV: Information from a set of ca. 20 000 PV plants installed in France, http://www.BDPV.fr, last access: February 2018. 
Bright, J. M., Killinger, S., Lingfors, D., and Engerer, N. A.: Improved satellite-derived PV power nowcasting using real-time power data from reference PV systems, Sol. Energy, https://doi.org/10.1016/j.solener.2017.10.091, in press, 2017. 
Jamaly, M., Bosch, J., and Kleissl, J.: Aggregate Ramp Rates Analysis of Distributed PV Systems in San Diego County, 4, 519–526, 2013. 
Jerez, S., Thais, F., Tobin, I., Wild, M., Colette, A., Yiou, P., and Vautard, R.: The CLIMIX model: A tool to create and evaluate spatially-resolved scenarios of photovoltaic and wind power development, Renewable and Sustainable Energy Reviews, 42, 1–15, https://doi.org/10.1016/j.rser.2014.09.041, 2015. 
Jones, P. D., Harpham, C., Troccoli, A., Gschwind, B., Ranchin, T., Wald, L., Goodess, C. M., and Dorling, S.: Using ERA-Interim reanalysis for creating datasets of energy-relevant climate variables, Earth Syst. Sci. Data, 9, 471–495, https://doi.org/10.5194/essd-9-471-2017, 2017. 
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Short summary
Our approach allows estimating the total photovoltaic (PV) power generation in different European countries from meteorological data. It is aimed at being easy to implement since it does not require any plant information or prior knowledge on the installed PV plants.