Abstract
CuIn(Sx,Se1−x)2-based thin-film solar cells modeling has been performed using the one-dimension Solar Cell Capacitance Simulator software, for a full range of chemical compositions between 0 ≤ x ≤ 1. For the modeling, it was used the CuInSe2-based thin-film solar cell substrate configuration. A benchmark for CuInSe2-based thin-film solar cell was first performed using data obtained from experimental results reported in the literature to validate the methodology. Absorption coefficient for CuInSe2 and CuInS2, the end points of the solid solution CuIn(Sx,Se1−x)2 were calculated, thicknesses for each layer of the cell were optimized as well as defect concentration density (Nt) for the absorber layer, and the results obtained from the J–V curves are presented and discussed. Finally, the same procedure was used for modeling CuIn(Sx,Se1−x)2-based thin-film solar cells, and from the photovoltaic parameters results, it was found that the chemical composition that gives the highest efficiency corresponds to x = 0.5.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgments
The authors thank to Prof. Marc Burgelman from University of Gent, Belgium, for providing us access to the SCAPS-1D software. We also thank the financial support from VIEP-BUAP, México.
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Díaz-Loera, A., Ramos-Serrano, J.R. & Calixto, M.E. Semiconducting CuIn(SX,Se1−X)2 thin-film solar cells modeling using SCAPS-1D. MRS Advances 7, 28–32 (2022). https://doi.org/10.1557/s43580-022-00231-4
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DOI: https://doi.org/10.1557/s43580-022-00231-4