Research Article | | Peer-Reviewed

Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation

Received: 29 June 2025     Accepted: 8 July 2025     Published: 28 July 2025
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Abstract

This study focuses on optimizing the thickness, doping, and bandgap energy of the Front Surface Field (FSF) layer in silicon heterojunction (SHJ) solar cells using predictive simulation with SILVACO-TCAD. SHJ solar cells are known for their high efficiency, low-cost manufacturing, and low-temperature fabrication processes. The FSF layer, typically composed of p+-doped hydrogenated amorphous silicon (a-Si:H), plays a pivotal role in determining cell performance. Key Methodology: The research employs the TCAD-SILVACO Atlas simulation software to model SHJ solar cells and analyze the influence of FSF layer parameters on photovoltaic performance, particularly the open-circuit voltage (VOC), short-circuit current density (JSC), fill factor (FF), and overall efficiency (η). The simulation integrates the Poisson and continuity equations, Boltzmann statistics, and models for Auger and Shockley-Read-Hall (SRH) recombination. Major Findings: FSF Thickness: Optimal efficiency (~23.5%) is achieved with an FSF thickness around 5 nm. Increasing the thickness beyond this value leads to reduced VOC and FF due to enhanced recombination and increased resistivity. Doping Concentration: Higher doping levels in the FSF layer strengthen the electric field at the junction, improving carrier separation and collection. However, excessive doping can cause additional recombination, emphasizing the need for balanced optimization. Bandgap Energy: A lower bandgap enhances photon absorption but increases thermal losses, while a higher bandgap limits absorption but can theoretically improve VOC. An optimal bandgap value around 1.7 eV, combined with a 5-7 nm thickness, was identified for peak efficiency. Simulation Stability: The study temporarily replaced the conventional indium tin oxide (ITO) front layer with silicon dioxide (SiO2) for simulation stability. This substitution was for numerical purposes only and is not applicable in real-world fabrication. The research highlights that achieving high-efficiency heterojunction solar cells requires precise, simultaneous optimization of the FSF layer's thickness, doping concentration, and bandgap energy. The study confirms that a careful balance of these parameters minimizes recombination losses, optimizes charge transport, and enhances photovoltaic performance. Future work should involve further experimental validation and the integration of more realistic front contact materials such as transparent conductive oxides (TCOs).

Published in Advances in Materials (Volume 14, Issue 3)
DOI 10.11648/j.am.20251403.11
Page(s) 65-79
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Heterojunction Solar Cells, SILVACO-TCAD Simulation, Front Surface Field (FSF), Photovoltaic Efficiency, Doping Optimization, Band Gap Engineering

References
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[4] Mohamed Saleck Heyine. Performance analysis of a 50 MWp grid-connected photovoltaic solar power plant of SOMELEC. Doctoral Thesis, University of Nouakchott (2023).
[5] Djicknoum Diouf. Silicon heterojunction photovoltaic cells with interdigitated back contact structure. Doctoral Thesis, Université Paris Sud 11(2010).
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[7] Venkanna Kanneboina, Ramakrishna Madaka, & Pratima Agarwal. High open circuit voltage c-Si/a-Si:H heterojunction solar cells: Influence of hydrogen plasma treatment studied by spectroscopic ellipsometry. Solar Energy, 166(2018), 255-266.
[8] Chedia Aliani, Monem Krichen, & Abdelaziz Zouari. Effect of the front metal work function on the performance of Si:H(n+)/a-Si:H(i)/c-Si(p) heterojunction solar cells. Journal of Computational Electronics, 18(2019), 576–583.
[9] Souad Tobbeche & Mohamed Nadjib Kateb. Simulation and optimization of silicon solar cell back surface field. Materials Science, 21(4) (2015), 575-581.
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[12] T. F. Schulze, C. Leendertz, N. Mingirulli, L. Korte, & B. Rech. Impact of Fermi-level dependent defect equilibration on Voc of amorphous/crystalline silicon heterojunction solar cells. Energy Procedia, 8(2011), 282-287.
[13] N. S. Khairuddin et al. The effects of thickness and doping concentration on the solar efficiency of GaNp-Si based solar cells. Chalcogenide Letters, 20(12) (2023), 629-637.
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[15] M. A. Steiner et al. Modeling and design of III-V heterojunction solar cells for enhanced performance. National Renewable Energy Laboratory (2023).
[16] M. Taguchi et al. Obtaining a higher Voc in HIT cells. Progress in Photovoltaics: Research and Applications, 13(6) (2005), 481-488.
[17] Sehyeon Kim, Hyeongsik Park, & Duy Phong Pham. Design of front emitter layer for improving efficiency in silicon heterojunction solar cells via numerical calculations. Optik, 235(2021), 166580.
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    Toure, A., Toure, M., Samb, M. L., Sam, M., Sow, F., et al. (2025). Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation. Advances in Materials, 14(3), 65-79. https://doi.org/10.11648/j.am.20251403.11

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    ACS Style

    Toure, A.; Toure, M.; Samb, M. L.; Sam, M.; Sow, F., et al. Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation. Adv. Mater. 2025, 14(3), 65-79. doi: 10.11648/j.am.20251403.11

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    AMA Style

    Toure A, Toure M, Samb ML, Sam M, Sow F, et al. Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation. Adv Mater. 2025;14(3):65-79. doi: 10.11648/j.am.20251403.11

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  • @article{10.11648/j.am.20251403.11,
      author = {Aly Toure and Moussa Toure and Mamadou Lamine Samb and Mouhamadou Sam and Fatma Sow and Ahmed Mohamed Yahya},
      title = {Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation
    },
      journal = {Advances in Materials},
      volume = {14},
      number = {3},
      pages = {65-79},
      doi = {10.11648/j.am.20251403.11},
      url = {https://doi.org/10.11648/j.am.20251403.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.am.20251403.11},
      abstract = {This study focuses on optimizing the thickness, doping, and bandgap energy of the Front Surface Field (FSF) layer in silicon heterojunction (SHJ) solar cells using predictive simulation with SILVACO-TCAD. SHJ solar cells are known for their high efficiency, low-cost manufacturing, and low-temperature fabrication processes. The FSF layer, typically composed of p+-doped hydrogenated amorphous silicon (a-Si:H), plays a pivotal role in determining cell performance. Key Methodology: The research employs the TCAD-SILVACO Atlas simulation software to model SHJ solar cells and analyze the influence of FSF layer parameters on photovoltaic performance, particularly the open-circuit voltage (VOC), short-circuit current density (JSC), fill factor (FF), and overall efficiency (η). The simulation integrates the Poisson and continuity equations, Boltzmann statistics, and models for Auger and Shockley-Read-Hall (SRH) recombination. Major Findings: FSF Thickness: Optimal efficiency (~23.5%) is achieved with an FSF thickness around 5 nm. Increasing the thickness beyond this value leads to reduced VOC and FF due to enhanced recombination and increased resistivity. Doping Concentration: Higher doping levels in the FSF layer strengthen the electric field at the junction, improving carrier separation and collection. However, excessive doping can cause additional recombination, emphasizing the need for balanced optimization. Bandgap Energy: A lower bandgap enhances photon absorption but increases thermal losses, while a higher bandgap limits absorption but can theoretically improve VOC. An optimal bandgap value around 1.7 eV, combined with a 5-7 nm thickness, was identified for peak efficiency. Simulation Stability: The study temporarily replaced the conventional indium tin oxide (ITO) front layer with silicon dioxide (SiO2) for simulation stability. This substitution was for numerical purposes only and is not applicable in real-world fabrication. The research highlights that achieving high-efficiency heterojunction solar cells requires precise, simultaneous optimization of the FSF layer's thickness, doping concentration, and bandgap energy. The study confirms that a careful balance of these parameters minimizes recombination losses, optimizes charge transport, and enhances photovoltaic performance. Future work should involve further experimental validation and the integration of more realistic front contact materials such as transparent conductive oxides (TCOs).},
     year = {2025}
    }
    

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  • TY  - JOUR
    T1  - Front Surface Field (FSF) Layer Thickness Engineering in Heterojunction Solar Cells: Efficiency Optimization Through Predictive SILVACO-TCAD Simulation
    
    AU  - Aly Toure
    AU  - Moussa Toure
    AU  - Mamadou Lamine Samb
    AU  - Mouhamadou Sam
    AU  - Fatma Sow
    AU  - Ahmed Mohamed Yahya
    Y1  - 2025/07/28
    PY  - 2025
    N1  - https://doi.org/10.11648/j.am.20251403.11
    DO  - 10.11648/j.am.20251403.11
    T2  - Advances in Materials
    JF  - Advances in Materials
    JO  - Advances in Materials
    SP  - 65
    EP  - 79
    PB  - Science Publishing Group
    SN  - 2327-252X
    UR  - https://doi.org/10.11648/j.am.20251403.11
    AB  - This study focuses on optimizing the thickness, doping, and bandgap energy of the Front Surface Field (FSF) layer in silicon heterojunction (SHJ) solar cells using predictive simulation with SILVACO-TCAD. SHJ solar cells are known for their high efficiency, low-cost manufacturing, and low-temperature fabrication processes. The FSF layer, typically composed of p+-doped hydrogenated amorphous silicon (a-Si:H), plays a pivotal role in determining cell performance. Key Methodology: The research employs the TCAD-SILVACO Atlas simulation software to model SHJ solar cells and analyze the influence of FSF layer parameters on photovoltaic performance, particularly the open-circuit voltage (VOC), short-circuit current density (JSC), fill factor (FF), and overall efficiency (η). The simulation integrates the Poisson and continuity equations, Boltzmann statistics, and models for Auger and Shockley-Read-Hall (SRH) recombination. Major Findings: FSF Thickness: Optimal efficiency (~23.5%) is achieved with an FSF thickness around 5 nm. Increasing the thickness beyond this value leads to reduced VOC and FF due to enhanced recombination and increased resistivity. Doping Concentration: Higher doping levels in the FSF layer strengthen the electric field at the junction, improving carrier separation and collection. However, excessive doping can cause additional recombination, emphasizing the need for balanced optimization. Bandgap Energy: A lower bandgap enhances photon absorption but increases thermal losses, while a higher bandgap limits absorption but can theoretically improve VOC. An optimal bandgap value around 1.7 eV, combined with a 5-7 nm thickness, was identified for peak efficiency. Simulation Stability: The study temporarily replaced the conventional indium tin oxide (ITO) front layer with silicon dioxide (SiO2) for simulation stability. This substitution was for numerical purposes only and is not applicable in real-world fabrication. The research highlights that achieving high-efficiency heterojunction solar cells requires precise, simultaneous optimization of the FSF layer's thickness, doping concentration, and bandgap energy. The study confirms that a careful balance of these parameters minimizes recombination losses, optimizes charge transport, and enhances photovoltaic performance. Future work should involve further experimental validation and the integration of more realistic front contact materials such as transparent conductive oxides (TCOs).
    VL  - 14
    IS  - 3
    ER  - 

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