| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1507072 | Solid State Sciences | 2006 | 4 Pages |
Abstract
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.
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Related Topics
Physical Sciences and Engineering
Materials Science
Ceramics and Composites
Authors
A. Cheknane, H.S. Hilal, J.P. Charles, B. Benyoucef, G. Campet,