Geographical Variation of the Conversion Efficiency of Crystalline Silicon Photovoltaic Modules in Europe

被引:68
作者
Huld, Thomas [1 ]
Suri, Marcel [1 ]
Dunlop, Ewan D. [1 ]
机构
[1] Joint Res Ctr, Inst Energy, European Commiss, Renewable Energies Unit, I-21020 Ispra, VA, Italy
来源
PROGRESS IN PHOTOVOLTAICS | 2008年 / 16卷 / 07期
关键词
photovoltaics; crystalline silicon; conversion efficiency; solar radiation temperature; geographical; information system;
D O I
10.1002/pip.846
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Me 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 (C) 2008 John Wiley & Sons, Ltd.
引用
收藏
页码:595 / 607
页数:13
相关论文
共 20 条
[11]  
KENNY RP, 2006, P 21 EUR PHOT SOL EN
[12]  
King D., 1998, 2 WORLD C EXH PHOT S
[13]   Calculation of the PV modules angular losses under field conditions by means of an analytical model [J].
Martin, N ;
Ruiz, JM .
SOLAR ENERGY MATERIALS AND SOLAR CELLS, 2001, 70 (01) :25-38
[14]  
Micale F., 2004, Methodology of the MARS Crop Yield Forecasting System, V1
[15]  
Neteler M., 2004, Open source GIS: A GRASS GIS Approach
[16]   Controlled conditioning of a-Si:H thin film modules for efficiency prediction [J].
Nikolaeva-Dimitrova, M. ;
Kenny, Robert P. ;
Dunlop, Ewan D. .
THIN SOLID FILMS, 2008, 516 (20) :6902-6906
[17]  
REMUND J, 2003, P ISES SOLAR WORLD C, P14
[18]  
Suri M., 2004, T GIS, V8, P175, DOI DOI 10.1111/J.1467-9671.2004.00174.X
[19]   Potential of solar electricity generation in the European Union member states and candidate countries [J].
Suri, Marcel ;
Huld, Thomas A. ;
Dunlop, Ewan D. ;
Ossenbrink, Heinz A. .
SOLAR ENERGY, 2007, 81 (10) :1295-1305
[20]   PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe [J].
Suri, Marcel ;
Huld, Thomas A. ;
Dunlop, Ewan D. .
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, 2005, 24 (02) :55-67