LAPSE:2019.0711v1
Published Article
LAPSE:2019.0711v1
Multi-Objective Optimization of Thin-Film Silicon Solar Cells with Metallic and Dielectric Nanoparticles
July 26, 2019
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.
Record ID
Keywords
evolutionary algorithms, finite element method, nanoplamonics, Optimization, Renewable and Sustainable Energy, solar cell
Subject
Suggested Citation
Aiello G, Alfonzetti S, Rizzo SA, Salerno N. Multi-Objective Optimization of Thin-Film Silicon Solar Cells with Metallic and Dielectric Nanoparticles. (2019). LAPSE:2019.0711v1
Author Affiliations
Aiello G: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy
Alfonzetti S: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy
Rizzo SA: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy [ORCID]
Salerno N: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy [ORCID]
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Alfonzetti S: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy
Rizzo SA: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy [ORCID]
Salerno N: Department of Electrical, Electronic and Computer Engineering, University of Catania, Viale A. Doria 6, I-95125 Catania, Italy [ORCID]
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E53
Year
2017
Publication Date
2017-01-04
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en10010053, Publication Type: Journal Article
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Published Article
LAPSE:2019.0711v1
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External Link
doi:10.3390/en10010053
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Version History
[v1] (Original Submission)
Jul 26, 2019
Verified by curator on
Jul 26, 2019
This Version Number
v1
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https://psecommunity.org/LAPSE:2019.0711v1
Original Submitter
Calvin Tsay
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