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Energies 2017, 10(1), 53; doi:10.3390/en10010053

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

Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy
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Academic Editor: Alessio Bosio
Received: 20 September 2016 / Revised: 7 December 2016 / Accepted: 26 December 2016 / Published: 4 January 2017
(This article belongs to the Special Issue Key Developments in Thin Film Solar Cells)
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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. View Full-Text
Keywords: renewable energy; solar cell; nanoplamonics; optimization; evolutionary algorithms; finite element method renewable energy; solar cell; nanoplamonics; optimization; evolutionary algorithms; finite element method
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Aiello, G.; Alfonzetti, S.; Rizzo, S.A.; Salerno, N. Multi-Objective Optimization of Thin-Film Silicon Solar Cells with Metallic and Dielectric Nanoparticles. Energies 2017, 10, 53.

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