A CdS-Free Alternative TiS2 Buffer: Toward High-Performing Cu2MSnS4 (M = Co, Mn, Fe, Mg) Solar Cells

IF 2.9 4区 工程技术 Q1 MULTIDISCIPLINARY SCIENCES
Kaviya Tracy Arockiadoss, Aruna-Devi Rasu Chettiar, Evangeline Linda, Latha Marasamy
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引用次数: 0

Abstract

Cu2MSnS4 (M = Co,Mn,Fe,Mg) are emerging as potential photovoltaic absorbers owing to their exceptional properties. However, a large open-circuit voltage (VOC) deficit caused by the unfavorable band alignment with the toxic CdS buffer limits their overall efficiency. Therefore, identifying an appropriate alternative buffer is essential for improving performance. Herein, solar cell capacitance simulator in one dimension (SCAPS-1D) is employed to theoretically design and analyze these emerging solar cells using TiS₂ as a substitute for CdS. The investigation focuses on various parameters, including buffer, absorber, and interface characteristics, to evaluate their impacts on performance. Remarkably, the highest efficiencies achieved with TiS₂ buffers are 27.02%, 27.04%, 30.04%, and 30.26% for Cu2MSnS4 (M = Co,Mn,Fe,Mg), respectively, surpassing CdS by 1.36, 1.76, 1.23, and 1.15 times. The high efficiencies obtained are associated with reduced electron barrier of −0.24 eV, −0.4 eV, −0.04 eV, and 0.08 eV at TiS2/Cu2MSnS4 (M = Co,Mn,Fe,Mg) interface, lower accumulation capacitance, significantly higher built-in potentials (>1.2 V), lower VOC losses (<0.35 V) and improved recombination resistance in TiS₂ solar cells compared to CdS. Additionally, the study addresses the experimental challenges and strategies necessary for the practical fabrication of TiS2-based solar cells, providing valuable insights for the photovoltaic community.

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来源期刊
Advanced Theory and Simulations
Advanced Theory and Simulations Multidisciplinary-Multidisciplinary
CiteScore
5.50
自引率
3.00%
发文量
221
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
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