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<p>The development of high-performance photovoltaic materials is a major focus of renewable energy research. Among the most promising candidates are quaternary chalcogenides, renowned for their exceptional electronic and optical properties. In this paper, a conventional Cu<sub>2</sub>MnSnS<sub>4</sub>-based solar cell is proposed, and numerical analyses are performed using wxAMPS-1D software to optimize the electron transport layer (ETL) and hole transport layer (HTL). Results indicate that using SnS<sub>2</sub> as ETL and CZTS as HTL significantly improves performance, achieving optimal interface energy alignment. Key parameters, including thickness, doping concentration, and defect density for each layer, along with the influence of temperature and contact barrier heights, are analyzed. Optimizing these parameters leads to an efficiency enhancement from an initial 19.43–27.71%, surpassing previously reported values.</p>

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The performance of Cu2MnSnS4 based solar cells with CZTS as hole transport nanolayer

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月23日

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  • Nadia Mahsar,
  • Beddiaf Zaidi,
  • Lakhdar Dehimi,
  • Ali Barkhordari,
  • Fatma Hadef

摘要

The development of high-performance photovoltaic materials is a major focus of renewable energy research. Among the most promising candidates are quaternary chalcogenides, renowned for their exceptional electronic and optical properties. In this paper, a conventional Cu2MnSnS4-based solar cell is proposed, and numerical analyses are performed using wxAMPS-1D software to optimize the electron transport layer (ETL) and hole transport layer (HTL). Results indicate that using SnS2 as ETL and CZTS as HTL significantly improves performance, achieving optimal interface energy alignment. Key parameters, including thickness, doping concentration, and defect density for each layer, along with the influence of temperature and contact barrier heights, are analyzed. Optimizing these parameters leads to an efficiency enhancement from an initial 19.43–27.71%, surpassing previously reported values.