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Geographical variation of the conversion efficiency of crystalline silicon photovoltaic modules in Europe
Author(s) -
Huld Thomas,
Šúri Marcel,
Dunlop Ewan D.
Publication year - 2008
Publication title -
progress in photovoltaics: research and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.286
H-Index - 131
eISSN - 1099-159X
pISSN - 1062-7995
DOI - 10.1002/pip.846
Subject(s) - irradiance , photovoltaic system , crystalline silicon , daytime , environmental science , mediterranean climate , yield (engineering) , solar irradiance , efficiency , function (biology) , statistics , atmospheric sciences , meteorology , silicon , mathematics , materials science , geography , engineering , electrical engineering , physics , archaeology , quantum mechanics , estimator , evolutionary biology , geology , metallurgy , biology
We present a geographical assessment of the performance of crystalline silicon photovoltaic (PV) modules over Europe. We have developed a method that is based on a material specific analytical expression of the PV conversion efficiency, relative to nominal efficiency, as a function of module temperature and irradiance. This method is combined with a climate database that includes average daytime temperature and irradiance profiles. It is found that the geographical variation in ambient temperature and yearly irradiation causes a decrease in overall yearly PV performance from 3 to 13% relative to the performance under Standard Test Conditions, with the highest decrease found in the Mediterranean region. Based on the above results we developed a simplified linear expression of the relative PV module efficiency that is a simple function of yearly total irradiation and yearly average daytime temperature. The coefficients to the linear expression are found by fitting to the map resulting from the above‐mentioned analytical approach. The prediction of total yearly PV output from this linear fit deviates less than 0·5% from the more detailed calculation, thus providing a faster and more simplified alternative to the yield estimate, in the case when only limited climate data are available. Copyright © 2008 John Wiley & Sons, Ltd.