Comprehensive Simulation Parameters and Layer Configurations of ZnTe-Perovskite, Perovskite-CIGS/GaAs, and Perovskite-CIGS/Si Tandem Solar Cell Models Analyzed Using SCAPS Software
Description
This study investigates the performance potential of three tandem solar cell configurations—ZnTe-Perovskite, Perovskite-CIGS/GaAs, and Perovskite-CIGS/Si—through detailed numerical simulations using SCAPS-1D. The research is based on the hypothesis that optimized material combinations and interface engineering in tandem structures can significantly enhance photovoltaic efficiency. Each model was constructed using carefully selected layer parameters, including thickness, bandgap, electron affinity, doping levels, and carrier mobilities, derived from literature and adjusted for simulation stability. The data reveals that the Perovskite-CIGS/GaAs tandem exhibited the highest simulated efficiency due to excellent band alignment and low recombination losses, while the Perovskite-CIGS/Si model showed promising thermal stability and manufacturing potential. These findings underscore the critical role of interface properties and layer configuration in tandem cell performance. The parameter tables provided can be directly used for further simulation, sensitivity analysis, or optimization studies by researchers working on advanced photovoltaic technologies.
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Steps to reproduce
To generate the data for this study, we employed the Solar Cell Capacitance Simulator (SCAPS-1D) software, a widely used numerical tool for simulating the electrical characteristics of thin-film solar cells. The simulation workflow began with the design of each tandem cell architecture—ZnTe-Perovskite, Perovskite-CIGS/GaAs, and Perovskite-CIGS/Si—by defining individual layers within the SCAPS interface. Parameters such as layer thickness, bandgap energy, electron affinity, doping concentration, defect density, carrier mobilities, and interface properties were sourced from published experimental literature and peer-reviewed journals to ensure material realism. All simulations were run under standard test conditions, using the AM1.5G and AM 0 solar spectrums and default illumination settings in SCAPS. To reproduce this work, researchers should use SCAPS version 3.3 or later, input the provided layer parameters as detailed in the accompanying tables, and follow standard procedures for running JV, QE, and capacitance analyses within the software. This reproducible, simulation-driven methodology allows for performance prediction, comparative analysis, and optimization of tandem solar cells using widely accessible computational tools.
Institutions
- University of Sri Jayewardenepura