Numerical Simulations for the Performance Optimization of SnO2/Cs2AgInBr6/CuO Lead-Free Perovskite Solar Cells

Authors

  • Leila Bechane Laboratory of Materials Physics and its Applications, Faculty of Technology, University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000, Algeria
  • Hani Benguesmia Electrical Engineering Laboratory (LGE), University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000, Algeria
  • Tiouiri Hadda Laboratory of Materials Physics and its Applications, Faculty of Technology, University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000, Algeria
Volume: 15 | Issue: 6 | Pages: 28706-28709 | December 2025 | https://doi.org/10.48084/etasr.12051

Abstract

This study presents a numerical investigation of the photovoltaic performance of a lead-free double Perovskite Solar Cell (PSC) based on Cs2AgInBr6 as the absorber layer. Using the one-dimensional solar cell simulation tool AMPS-1D, critical device parameters, including active layer thickness and acceptor doping density, were evaluated. The impact of these parameters was tested on performance indicators, such as current density-voltage (J-V) characteristics, Open-Circuit Voltage (OVC), short-circuit current density (JSC), fill factor (FF), and Power Conversion Efficiency (PCE). The results revealed that an optimal active layer thickness of 500 nm, combined with an acceptor density in the range of 1013-1015 cm-3, maximized the device performance. Under these conditions, the solar cell achieved a PCE of 24.96%, with JSC = 29.40 mA/cm2, VOC = 0.969 V, and FF = 87.6%. These values underscored the promising potential of Cs2AgInBr6 as a non-toxic, eco-friendly alternative to lead-based perovskites in photovoltaic applications.

Keywords:

AMPS-1D, Cs2AgInBr6 solar cells, heterojunction, SnO2, CuO, efficiency

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How to Cite

[1]
L. Bechane, H. Benguesmia, and T. Hadda, “Numerical Simulations for the Performance Optimization of SnO2/Cs2AgInBr6/CuO Lead-Free Perovskite Solar Cells”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 6, pp. 28706–28709, Dec. 2025.

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