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Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells
Dye-sensitized solar cells offer an alternative source for renewable energy by means of converting sunlight into electricity. While there are many studies concerning the development of DSSCs, comprehensive mathematical modelling of the devices is still lacking. Recent mathematical models are based o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516682/ https://www.ncbi.nlm.nih.gov/pubmed/33286022 http://dx.doi.org/10.3390/e22020248 |
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author | Maldon, Benjamin Thamwattana, Ngamta Edwards, Maureen |
author_facet | Maldon, Benjamin Thamwattana, Ngamta Edwards, Maureen |
author_sort | Maldon, Benjamin |
collection | PubMed |
description | Dye-sensitized solar cells offer an alternative source for renewable energy by means of converting sunlight into electricity. While there are many studies concerning the development of DSSCs, comprehensive mathematical modelling of the devices is still lacking. Recent mathematical models are based on diffusion equations of electron density in the conduction band of the nano-porous semiconductor in dye-sensitized solar cells. Under linear diffusion and recombination, this paper provides analytical solutions to the diffusion equation. Further, Lie symmetry analysis is adopted in order to explore analytical solutions to physically relevant special cases of the nonlinear diffusion equations. While analytical solutions may not be possible, we provide numerical solutions, which are in good agreement with the results given in the literature. |
format | Online Article Text |
id | pubmed-7516682 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75166822020-11-09 Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells Maldon, Benjamin Thamwattana, Ngamta Edwards, Maureen Entropy (Basel) Article Dye-sensitized solar cells offer an alternative source for renewable energy by means of converting sunlight into electricity. While there are many studies concerning the development of DSSCs, comprehensive mathematical modelling of the devices is still lacking. Recent mathematical models are based on diffusion equations of electron density in the conduction band of the nano-porous semiconductor in dye-sensitized solar cells. Under linear diffusion and recombination, this paper provides analytical solutions to the diffusion equation. Further, Lie symmetry analysis is adopted in order to explore analytical solutions to physically relevant special cases of the nonlinear diffusion equations. While analytical solutions may not be possible, we provide numerical solutions, which are in good agreement with the results given in the literature. MDPI 2020-02-21 /pmc/articles/PMC7516682/ /pubmed/33286022 http://dx.doi.org/10.3390/e22020248 Text en © 2020 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Maldon, Benjamin Thamwattana, Ngamta Edwards, Maureen Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title | Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title_full | Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title_fullStr | Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title_full_unstemmed | Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title_short | Exploring Nonlinear Diffusion Equations for Modelling Dye-Sensitized Solar Cells |
title_sort | exploring nonlinear diffusion equations for modelling dye-sensitized solar cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516682/ https://www.ncbi.nlm.nih.gov/pubmed/33286022 http://dx.doi.org/10.3390/e22020248 |
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