{"title":"Using physical parameters in predicting energy gain of CIGS PV modules","authors":"B. Werner, W. Kolodenny, Mariusz Prorok","doi":"10.1109/STYSW.2008.5164152","DOIUrl":null,"url":null,"abstract":"In previous works [1, 2] it was researched that the equivalent double diode model - DEM is appropriate to model Cu(InxGa1-x)Se2 (CIGS) photovoltaic (PV) modules. It was investigated with large amount of data (including current - voltage curves) collected during long-term monitoring of PV systems. Current work concentrates on applying physical parameters to model 2 of 5 DEM parameters: diffusion IS1 and recombination IS2 related components of dark diode saturation current. Modeled ISI and IS2 values replace previously approximated DEM parameters and are used to predict measured I-V curves in order to determine electrical parameters of the PV modules. The parameters are used to predict energy gain in natural working conditions. Results of modeling are presented and compared with measured data.","PeriodicalId":206334,"journal":{"name":"2008 International Students and Young Scientists Workshop - Photonics and Microsystems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Students and Young Scientists Workshop - Photonics and Microsystems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STYSW.2008.5164152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In previous works [1, 2] it was researched that the equivalent double diode model - DEM is appropriate to model Cu(InxGa1-x)Se2 (CIGS) photovoltaic (PV) modules. It was investigated with large amount of data (including current - voltage curves) collected during long-term monitoring of PV systems. Current work concentrates on applying physical parameters to model 2 of 5 DEM parameters: diffusion IS1 and recombination IS2 related components of dark diode saturation current. Modeled ISI and IS2 values replace previously approximated DEM parameters and are used to predict measured I-V curves in order to determine electrical parameters of the PV modules. The parameters are used to predict energy gain in natural working conditions. Results of modeling are presented and compared with measured data.