{"title":"Numerical Optimization of Wide Bandgap Perovskite With Various Bottom Cell Absorber for Tandem Solar Cell Applications","authors":"Ankita Sao, Sidhanta Gupta, Nitin Kumar Bansal, Farzana Rikta, Tae Woong Kim, Trilok Singh","doi":"10.1002/adts.70549","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Recently, single-junction perovskite solar cells (PSCs) have demonstrated significant improvements in performance. In addition to their strong performance, PSCs are particularly attractive for tandem integration with other photovoltaic technologies such as silicon, copper indium gallium selenide (CIGS), narrow-bandgap perovskites (NBG), organic, and CdTe solar cells, where their tunable bandgap enables more efficient utilization of the solar spectrum and the potential for enhanced overall device efficiency. Herein, a systematic investigation is presented to maximize the efficiency of tandem architectures through careful selection of the bandgaps of the top and bottom subcells and optimization of interfacial engineering aspects. The optimized wide-bandgap (WBG) perovskite top subcell exhibits a power conversion efficiency (PCE) of 23.73%, with an open-circuit voltage of 1.26 V, short-circuit current density of 21.64 mA cm<sup>−2</sup>, and fill factor of 86.92% obtained through systematic optimization of charge transport layers, absorber thickness, and defect engineering. Integration into tandem configurations reveals that appropriate bandgap selection and current matching enable efficiencies of 35.38% (Perovskite/Si), 33.69% (Perovskite/CIGS), and 36.15% (All-perovskite). The simulation results indicate that the proposed optimization strategy can improve the performance potential of the WBG perovskite top cell for tandem applications.</p>\n </div>","PeriodicalId":7219,"journal":{"name":"Advanced Theory and Simulations","volume":"9 9","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Theory and Simulations","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adts.70549","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, single-junction perovskite solar cells (PSCs) have demonstrated significant improvements in performance. In addition to their strong performance, PSCs are particularly attractive for tandem integration with other photovoltaic technologies such as silicon, copper indium gallium selenide (CIGS), narrow-bandgap perovskites (NBG), organic, and CdTe solar cells, where their tunable bandgap enables more efficient utilization of the solar spectrum and the potential for enhanced overall device efficiency. Herein, a systematic investigation is presented to maximize the efficiency of tandem architectures through careful selection of the bandgaps of the top and bottom subcells and optimization of interfacial engineering aspects. The optimized wide-bandgap (WBG) perovskite top subcell exhibits a power conversion efficiency (PCE) of 23.73%, with an open-circuit voltage of 1.26 V, short-circuit current density of 21.64 mA cm−2, and fill factor of 86.92% obtained through systematic optimization of charge transport layers, absorber thickness, and defect engineering. Integration into tandem configurations reveals that appropriate bandgap selection and current matching enable efficiencies of 35.38% (Perovskite/Si), 33.69% (Perovskite/CIGS), and 36.15% (All-perovskite). The simulation results indicate that the proposed optimization strategy can improve the performance potential of the WBG perovskite top cell for tandem applications.
期刊介绍:
Advanced Theory and Simulations is an interdisciplinary, international, English-language journal that publishes high-quality scientific results focusing on the development and application of theoretical methods, modeling and simulation approaches in all natural science and medicine areas, including:
materials, chemistry, condensed matter physics
engineering, energy
life science, biology, medicine
atmospheric/environmental science, climate science
planetary science, astronomy, cosmology
method development, numerical methods, statistics