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Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction

We present a comparative study on numerical models used to predict the absorption enhancement in thin-film solar cells due to the presence of structured back-reflectors exciting, at specific wavelengths, hybrid plasmonic-photonic resonances. To evaluate the effectiveness of the analyzed models, they...

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Autores principales: Micco, Alberto, Pisco, Marco, Ricciardi, Armando, Mercaldo, Lucia V., Usatii, Iurie, La Ferrara, Vera, Delli Veneri, Paola, Cutolo, Antonello, Cusano, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455730/
http://dx.doi.org/10.3390/ma8063648
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author Micco, Alberto
Pisco, Marco
Ricciardi, Armando
Mercaldo, Lucia V.
Usatii, Iurie
La Ferrara, Vera
Delli Veneri, Paola
Cutolo, Antonello
Cusano, Andrea
author_facet Micco, Alberto
Pisco, Marco
Ricciardi, Armando
Mercaldo, Lucia V.
Usatii, Iurie
La Ferrara, Vera
Delli Veneri, Paola
Cutolo, Antonello
Cusano, Andrea
author_sort Micco, Alberto
collection PubMed
description We present a comparative study on numerical models used to predict the absorption enhancement in thin-film solar cells due to the presence of structured back-reflectors exciting, at specific wavelengths, hybrid plasmonic-photonic resonances. To evaluate the effectiveness of the analyzed models, they have been applied in a case study: starting from a U-shaped textured glass thin-film, µc-Si:H solar cells have been successfully fabricated. The fabricated cells, with different intrinsic layer thicknesses, have been morphologically, optically and electrically characterized. The experimental results have been successively compared with the numerical predictions. We have found that, in contrast to basic models based on the underlying schematics of the cell, numerical models taking into account the real morphology of the fabricated device, are able to effectively predict the cells performances in terms of both optical absorption and short-circuit current values.
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spelling pubmed-54557302017-07-28 Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction Micco, Alberto Pisco, Marco Ricciardi, Armando Mercaldo, Lucia V. Usatii, Iurie La Ferrara, Vera Delli Veneri, Paola Cutolo, Antonello Cusano, Andrea Materials (Basel) Article We present a comparative study on numerical models used to predict the absorption enhancement in thin-film solar cells due to the presence of structured back-reflectors exciting, at specific wavelengths, hybrid plasmonic-photonic resonances. To evaluate the effectiveness of the analyzed models, they have been applied in a case study: starting from a U-shaped textured glass thin-film, µc-Si:H solar cells have been successfully fabricated. The fabricated cells, with different intrinsic layer thicknesses, have been morphologically, optically and electrically characterized. The experimental results have been successively compared with the numerical predictions. We have found that, in contrast to basic models based on the underlying schematics of the cell, numerical models taking into account the real morphology of the fabricated device, are able to effectively predict the cells performances in terms of both optical absorption and short-circuit current values. MDPI 2015-06-18 /pmc/articles/PMC5455730/ http://dx.doi.org/10.3390/ma8063648 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Micco, Alberto
Pisco, Marco
Ricciardi, Armando
Mercaldo, Lucia V.
Usatii, Iurie
La Ferrara, Vera
Delli Veneri, Paola
Cutolo, Antonello
Cusano, Andrea
Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title_full Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title_fullStr Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title_full_unstemmed Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title_short Plasmonic Light Trapping in Thin-Film Solar Cells: Impact of Modeling on Performance Prediction
title_sort plasmonic light trapping in thin-film solar cells: impact of modeling on performance prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5455730/
http://dx.doi.org/10.3390/ma8063648
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