Performance enhancement of ZnTeO solar cell by optimizing physical and geometrical parameters

Abstract

In this paper, a physics-based model for various I-V characteristics and efficiency of intermediate band solar cell (IBSC) are developed. The model includes important parameters effects like absorption coefficient constants and energy level. Therefore, an approach based on Genetic Algorithms for increasing the photovoltaic conversion of the IBSC-based design is proposed in order to study and improve electrical behavior of the device. Our GA-based approach exhibits a significant improvement compared to analytical results found in literature providing guidance for the device design for high-cell performances.