ZnTe:O太阳能电池的遗传算法优化

2018 International Conference on Communications and Electrical Engineering (ICCEE) Pub Date : 2018-12-01 DOI:10.1109/CCEE.2018.8634467

B. Lakehal, N. Lakhdar, F. Chebbara, M. Boulesbaa, A. Dendouga, T. Bendib

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引用次数: 0

摘要

本文以中间波段太阳能电池(IBSC)为研究对象，利用基于遗传算法(GAs)的模型，给出了中间波段太阳能电池物理和几何参数的影响。这些参数包括吸收剂宽度、受体和施主浓度以及吸收系数。利用遗传算法对这些参数进行改进，系统地提高了太阳能电池的性能。

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Optimization of ZnTe:O solar cell using genetic algorithms

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.

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2018 International Conference on Communications and Electrical Engineering (ICCEE)

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