Optimization of ZnTe:O solar cell using genetic algorithms

Citation:

Brahim L, Lakhdar N, Chebbara F, Boulesbaa M, Dendouga A, BENDIB T. Optimization of ZnTe:O solar cell using genetic algorithms. 2018 International Conference on Communications and Electrical Engineering (ICCEE) [Internet]. 2019.

Abstract:

In this paper, we study the intermediate band solar cell (IBSC) and present the influence of the physical and geometrical parameters of the solar cell with intermediate band using the model of our approach based on genetic algorithms (GAs). These parameters include absorber width, the acceptor and donor concentration and the absorption coefficient. This analysis based on genetic algorithm is used to improve these parameters and systematically enhance the solar cell performances.

Publisher's Version

Last updated on 04/24/2022