Version 1
: Received: 19 September 2023 / Approved: 19 September 2023 / Online: 19 September 2023 (07:48:35 CEST)
How to cite:
Zakarya, Z.; Moustafa Yassine, M.; Tewfik, B.; Mohammed Chakib, S.; Mohammed Zakaria, B.; Nassera, G. Predictive Modeling and CIGS Integration for Multi-Junction Solar Cell Efficiency Enhancement. Preprints2023, 2023091265. https://doi.org/10.20944/preprints202309.1265.v1
Zakarya, Z.; Moustafa Yassine, M.; Tewfik, B.; Mohammed Chakib, S.; Mohammed Zakaria, B.; Nassera, G. Predictive Modeling and CIGS Integration for Multi-Junction Solar Cell Efficiency Enhancement. Preprints 2023, 2023091265. https://doi.org/10.20944/preprints202309.1265.v1
Zakarya, Z.; Moustafa Yassine, M.; Tewfik, B.; Mohammed Chakib, S.; Mohammed Zakaria, B.; Nassera, G. Predictive Modeling and CIGS Integration for Multi-Junction Solar Cell Efficiency Enhancement. Preprints2023, 2023091265. https://doi.org/10.20944/preprints202309.1265.v1
APA Style
Zakarya, Z., Moustafa Yassine, M., Tewfik, B., Mohammed Chakib, S., Mohammed Zakaria, B., & Nassera, G. (2023). Predictive Modeling and CIGS Integration for Multi-Junction Solar Cell Efficiency Enhancement. Preprints. https://doi.org/10.20944/preprints202309.1265.v1
Chicago/Turabian Style
Zakarya, Z., Bessenouci Mohammed Zakaria and Ghellai Nassera. 2023 "Predictive Modeling and CIGS Integration for Multi-Junction Solar Cell Efficiency Enhancement" Preprints. https://doi.org/10.20944/preprints202309.1265.v1
Abstract
Multi-junction solar cells comprised of stacked III-V semiconductor junctions represent the highest-efficiency photovoltaic technology, with recent demonstrations exceeding 47% efficiency . Optimizing the design and thickness of each junction is critical for maximizing performance . This work utilizes Silvaco TCAD tools to systematically optimize a 5-junction cell based on AlInP, AlGaInP, AlGaInAs, GaInP, GaAs, InGaAs, and Ge similar to recent record cells . The junction thicknesses are varied using a predictive profiler to sample the parameter space . For each combination, the spectral absorption and I-V characteristics are simulated to determine the efficiency . Statistical analysis identifies the optimal thickness set that maximizes performance to 26% under 1 sun illumination .
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.