Photovoltaic yield: correction method for the mismatch between the solar spectrum and the reference ASTMG AM1.5G spectrum

¹ UniversitéParis-Sud 11, UMR 8507, LGEP, Bâtiment 301, 91405 Orsay Cedex, France
² SUPELEC, LGEP, UMR 8507, 3 rue Joliot-Curie, Plateau de Moulon, 91192 Gif-sur-Yvette Cedex, France
³ CNRS, LGEP, UMR 8507, 11 rue Joliot-Curie, Plateau de Moulon, 91192 Gif-sur-Yvette Cedex, France
⁴ Sorbonne Universités, UPMC Univ. Paris 06, UMR 8507, LGEP, 5 Place Jussieu, 75005 Paris Cedex, France
⁵ LMD, Institut Pierre-Simon Laplace, CNRS, Ecole Polytechnique, 91128 Palaiseau Cedex, France
⁶ SOLEÏS Technologie, 4 allée Jean-Paul Sartre, 77186 Noisiel, France

^a e-mail: thomas.mambrini@lgep.supelec.fr

Received: 27 January 2014
Received in final form: 22 October 2014
Accepted: 3 December 2014
Published online: 6 February 2015

Abstract

We propose a method for a spectral correction of the predicted PV yield and we show the importance of the spectral mismatch on the solar cell. Indeed, currently predicted PV yield are made considering solar irradiation, ambient temperature, incidence angle and partially (or not) the solar spectrum. However, the solar spectrum is not always the same. It varies depending on the site location, atmospheric conditions, time of the day...This may impact the photovoltaic solar cells differently according to their technology (crystalline Silicon, thin film, multi-junctions...) This paper presents a method for calculating the correction of the short-circuit current of a photovoltaic cell due to the mismatch of the solar spectrum with the reference ASTM AM1.5G spectrum, for a specific site, throughout the year, using monthly data of AERONET (AErosol RObotic NETwork established by NASA and CNRS) and the model SMARTS (simple model for atmospheric transmission of sunshine) developed by the NREL. We applied this correction method on the site of Palaiseau (France, 48.7°N, 2.2°E, 156 m), close to our laboratory, just for comparison and the example of Blida (Algeria, 36°N, 2°E, 230 m) is given for one year. This example illustrates the importance of this spectral correction to better estimate the photovoltaic yield. To be more precise, instead of modeling the solar spectral distribution, one can measure it with a spectro-radiometer, and then, derive the spectral mismatch correction. Some of our typical measurements are presented in this paper.