Application of Taguchi-Based GRA Approach for Predictive Modelling of Perovskite Solar Cell

Abstract

The aim of this research is to optimize the perovskite cell (PSC) device using the Taguchi-based GRA method. In order to conduct this study, the simulation of perovskite cell device was carried out using the solar cell capacitance simulator (SCAPS-1D). Predictive modelling was further conducted to optimize multiple output responses such as power conversion efficiency (PCE), fill factor (FF), open circuit voltage (Voc) and short circuit current (Jsc). The optimization is finalized by determining the best combination of control factors and experiments to achieve maximum efficiency. This research methodology consists of three phases starting with the determination of PSC structure and electrical parameters, followed by numerical modelling using SCAPS-1D and predictive modelling using Taguchi-based GRA approach in optimizing the design. Next in phase 3, verification and benchmarking of output parameter results for mixed halide PSC with the experimental results from previous studies have been obtained. The studied design has achieved an efficiency of 25.27%, 83.34% fill factor, 1.24V open circuit voltage and 24.45 mA/cm2 of short circuit current. Finally, the conducted research has achieved the objective of optimizing the PSC in improving the efficiency of the device.