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.

• intermediate band solar cells
• genetic algorithm
• parameter optimization
• absorption coefficient
• solar cell performance

• 7 — Énergie propre et d’un coût abordable

• Chalcogenide Semiconductor Thin Films
• solar cell performance optimization
• Advanced Semiconductor Detectors and Materials
• intermediate band solar cells
• genetic algorithm
• parameter optimization
• absorption coefficient
• solar cell performance
• Electrical and Electronic Engineering
• Engineering