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Multi-Objective Optimization of Thin-Film Silicon Solar Cells with Metallic and Dielectric Nanoparticles

Author

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  • Giovanni Aiello

    (Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy)

  • Salvatore Alfonzetti

    (Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy)

  • Santi Agatino Rizzo

    (Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy)

  • Nunzio Salerno

    (Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy)

Abstract

Thin-film solar cells enable a strong reduction of the amount of silicon needed to produce photovoltaic panels but their efficiency lowers. Placing metallic or dielectric nanoparticles over the silicon substrate increases the light trapping into the panel thanks to the plasmonic scattering from nanoparticles at the surface of the cell. The goal of this paper is to optimize the geometry of a thin-film solar cell with silver and silica nanoparticles in order to improve its efficiency, taking into account the amount of silver. An efficient evolutionary algorithm is applied to perform the optimization with a reduced computing time.

Suggested Citation

  • Giovanni Aiello & Salvatore Alfonzetti & Santi Agatino Rizzo & Nunzio Salerno, 2017. "Multi-Objective Optimization of Thin-Film Silicon Solar Cells with Metallic and Dielectric Nanoparticles," Energies, MDPI, vol. 10(1), pages 1-10, January.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:1:p:53-:d:86896
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    References listed on IDEAS

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    1. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
    2. Hsin-Cheng Lee & Shich-Chuan Wu & Tien-Chung Yang & Ta-Jen Yen, 2010. "Efficiently Harvesting Sun Light for Silicon Solar Cells through Advanced Optical Couplers and A Radial p-n Junction Structure," Energies, MDPI, vol. 3(4), pages 1-19, April.
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    Cited by:

    1. Zeyang Zhou & Jun Huang, 2020. "Study of the Radar Cross-Section of Turbofan Engine with Biaxial Multirotor Based on Dynamic Scattering Method," Energies, MDPI, vol. 13(21), pages 1-20, November.
    2. Buratti, Yoann & Javier, Gaia M.N. & Abdullah-Vetter, Zubair & Dwivedi, Priya & Hameiri, Ziv, 2024. "Machine learning for advanced characterisation of silicon photovoltaics: A comprehensive review of techniques and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).

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