Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells

Photovoltaic solar energy has evolved to be a viable and popular alternative for the generation of electricity. To analyze the profitability of these renewable energy systems, computer modelling of the solar devices has become a necessary and widespread practice in the academic and industrial world....

ver descrição completa

Detalhes bibliográficos
Autores: Guisandez-Hernández, Andrés, Santos Peñas, Matilde
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:español
OAI Identifier:oai:docta.ucm.es:20.500.14352/112252
Acesso em linha:https://hdl.handle.net/20.500.14352/112252
Access Level:acceso abierto
Palavra-chave:Aging
Energy
Fault detection
Modelling
Photovoltaics
Solar energy
Física-Modelos matemáticos
2106.01 Energía Solar
id ES_c5c7f8a7ffc422ca17dfc61a4719b3a9
oai_identifier_str oai:docta.ucm.es:20.500.14352/112252
network_acronym_str ES
network_name_str España
repository_id_str
spelling Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar CellsGuisandez-Hernández, AndrésSantos Peñas, MatildeAgingEnergyFault detectionModellingPhotovoltaicsSolar energyFísica-Modelos matemáticos2106.01 Energía SolarPhotovoltaic solar energy has evolved to be a viable and popular alternative for the generation of electricity. To analyze the profitability of these renewable energy systems, computer modelling of the solar devices has become a necessary and widespread practice in the academic and industrial world. The modelling not only allows the estimation of the electric productivity but also the estimation of the amortization of a solar installation. However, aging and deterioration of photovoltaic modules have been little studied yet and when these aging effects can be an important source of power degradation on solar cells and fault generation, and thus a cause of mismatching on amortization deadlines. In this work, based on a proposed long-term behavioral generator model, the most common aging mechanisms of solar panels have been modelled and simulated. The results have been validated against a real solar medium-high power generator designed for grid connection in Spain. Results allow to measure the efficiency of these photovoltaics energy systems, get better accuracy of their amortization and estimate the power degradation range of photovoltaic modules.IEEEUniversidad Complutense de Madrid20212021-07-0720212021-07-07journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/112252reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1122522026-06-02T12:44:21Z
dc.title.none.fl_str_mv Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
title Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
spellingShingle Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
Guisandez-Hernández, Andrés
Aging
Energy
Fault detection
Modelling
Photovoltaics
Solar energy
Física-Modelos matemáticos
2106.01 Energía Solar
title_short Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
title_full Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
title_fullStr Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
title_full_unstemmed Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
title_sort Modelling and Experimental Validation of Aging Factors of Photovoltaic Solar Cells
dc.creator.none.fl_str_mv Guisandez-Hernández, Andrés
Santos Peñas, Matilde
author Guisandez-Hernández, Andrés
author_facet Guisandez-Hernández, Andrés
Santos Peñas, Matilde
author_role author
author2 Santos Peñas, Matilde
author2_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Aging
Energy
Fault detection
Modelling
Photovoltaics
Solar energy
Física-Modelos matemáticos
2106.01 Energía Solar
topic Aging
Energy
Fault detection
Modelling
Photovoltaics
Solar energy
Física-Modelos matemáticos
2106.01 Energía Solar
description Photovoltaic solar energy has evolved to be a viable and popular alternative for the generation of electricity. To analyze the profitability of these renewable energy systems, computer modelling of the solar devices has become a necessary and widespread practice in the academic and industrial world. The modelling not only allows the estimation of the electric productivity but also the estimation of the amortization of a solar installation. However, aging and deterioration of photovoltaic modules have been little studied yet and when these aging effects can be an important source of power degradation on solar cells and fault generation, and thus a cause of mismatching on amortization deadlines. In this work, based on a proposed long-term behavioral generator model, the most common aging mechanisms of solar panels have been modelled and simulated. The results have been validated against a real solar medium-high power generator designed for grid connection in Spain. Results allow to measure the efficiency of these photovoltaics energy systems, get better accuracy of their amortization and estimate the power degradation range of photovoltaic modules.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-07-07
2021
2021-07-07
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/112252
url https://hdl.handle.net/20.500.14352/112252
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869419018154147840
score 15,198674

Registos relacionados