New Optimized Intermediate Band (IB) Design to Improve ZnTeO Solar Cell Performances

In this paper, a genetic algorithm-based approach is proposed to extract and optimize the design parameters of the intermediate band solar cell (IBSC) in order to improve the electrical performance and the conversion efficiency behavior of the device. The proposed approach is applied to investigate the effect of the energy level (Ei) intermediate band (IB) and electronic states density (Ni) influence on cell efficiency. The presented analytical models are used as objective functions, which are required for our optimization approach. The obtained results are compared with analytical results found in literature indicating the applicability of the genetic algorithm technique to study the electrical behavior of the IBSC design. Therefore, this approach will be extended to alternative solar cell for motivating experimental efforts to realize these promising photovoltaic devices