GaAs solar cell performance improvement by design optimization using NSGA approach

Abstract

In the solar cells under the open-circuit condition, the carriers charges emits the external luminescence for balancing the incoming solar radiations. The generation of such external luminescence represents the optical losses in the solar cells. Efficient external luminescence ensures the state of approaching the maximum limit of the SQ (Shockley-Queisser) equation. In this way in solar cell’s need of getting high efficiency is fulfilled if it is also responding as an efficient light-emitting diode. This article focus on achieving a high external luminescence efficiency under the standard solar spectrum with optimum value of fill factor using the optimum values of GaAs solar cell parameters by applying Genetic algorithm. Different geometries based on physics of light absorption are considered for optimum parameter search that can give high external luminiscence efficiency as well as high Value of fill factor.