Modelling and simulation of InGaP solar cells under solar concentration: Series resistance measurement and prediction

被引：19
作者：
Cheknane, A
Hilal, HS
Charles, JP
Benyoucef, B
Campet, G
机构：
[1] An Najah N Univ, Nablus, W Bank, Israel
[2] Univ Abou Bakr Belkaid Tlemcen, Unite Rech MAt & Energies Renouvelables, Tilimsen, Algeria
[3] SUPELEC, MOPS, F-57070 Metz, France
[4] Univ Bordeaux 1, CNRS, F-33600 Pessac, France
来源：
SOLID STATE SCIENCES | 2006年 / 8卷 / 05期
关键词：
InGaP; series resistance; neural network; concentrator solar cells;
D O I：
10.1016/j.solidstatesciences.2006.01.001
中图分类号：
O61 [无机化学];
学科分类号：
070301 ; 081704 ;
摘要：
One of the important parameters, that commonly affect solar cell performances, is the series resistance. Such effect becomes more pronounced when working under higher illumination intensities due to higher generated photocurrents. Therefore, it is necessary to predict series resistance effects under such conditions. To know more about the series resistance effect and its interpretation, InGaP based solar cell performances were investigated, using high solar concentration levels (73.36 X, 201.19 X). To facilitate the prediction of series resistance effect, as a function of insolation level, a computerised analytical model, using neural network, is presented. (C) 2006 Elsevier SAS. All fights reserved.
引用
收藏
页码：556 / 559
页数：4
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