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dc.creatorLiu, Zenges
dc.creatorLenarda, Pietroes
dc.creatorReinoso Cuevas, José Antonioes
dc.creatorPaggi, Marcoes
dc.date.accessioned2023-05-02T07:12:19Z
dc.date.available2023-05-02T07:12:19Z
dc.date.issued2023-03
dc.identifier.citationLiu, Z., Lenarda, P., Reinoso Cuevas, J.A. y Paggi, M. (2023). A multifield coupled thermo-chemo-mechanical theory for the reaction-diffusion modeling in photovoltaics. International Journal for Numerical Methods in Engineering. https://doi.org/10.1002/nme.7233.
dc.identifier.issn0029-5981es
dc.identifier.issn1097-0207es
dc.identifier.urihttps://hdl.handle.net/11441/144895
dc.description.abstractA comprehensive coupled thermo-chemo-mechanical modeling framework is proposed in this work to study the reaction-diffusion phenomena taking place inside photovoltaics (PV). When exposed to hygrothermal conditions, the encapsulant ethylene-co-vinyl acetate (EVA) layers undergo chemical degradation that significantly influences the overall PV performance. Aiming at efficient thermo-mechanical modeling, the coupled displacement-temperature governing equations for the EVA layers are formulated, and its 3D finite element (FE) implementation is derived in detail. Subsequently, the chemical reaction-diffusion processes occurring in the EVA layers are described, and the corresponding numerical implementation is formulated with the consideration of spatial and temporal variation of diffusivity and chemical kinetic rates. Specifically, the thermo-mechanical solution accounting for the heat generation from chemical reactions is projected to the FE model of the reaction-diffusion system in order to determine the kinetic rates and diffusion coefficients for its subsequent analysis. The proposed modeling method is applied to simulate the evolution of reaction-diffusion species at different damp heat tests, and predictions show a very satisfactory agreement with the analytical solution and experimental electroluminescence images taken from the literature. Its capabilities to predict the spatio-temporal variation are demonstrated through the simulation of the humidity freeze test, where the cyclic temperature boundary condition is imposed. With this modeling framework, it is possible to evaluate the degradation of PV modules under varying environmental boundary conditions, thus providing a guideline to design new products tailored for specific climatic zones.es
dc.formatapplication/pdfes
dc.format.extent26 p.es
dc.language.isoenges
dc.publisherWileyes
dc.relation.ispartofInternational Journal for Numerical Methods in Engineering.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFinite element methodes
dc.subjectPhotovoltaicses
dc.subjectReaction-diffusiones
dc.subjectThermo-chemo-mechanical theoryes
dc.titleA multifield coupled thermo-chemo-mechanical theory for the reaction-diffusion modeling in photovoltaicses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructurases
dc.relation.projectIDUS-1265577es
dc.relation.projectIDEU H2020 861061es
dc.relation.projectIDP2-00595es
dc.relation.projectIDTED2021-131649B-I00es
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1002/nme.7233es
dc.identifier.doi10.1002/nme.7233es
dc.contributor.groupUniversidad de Sevilla. TEP131: Elasticidad y Resistencia de Materialeses
idus.validador.notaOnline Version of Record before inclusion in an issuees
dc.journaltitleInternational Journal for Numerical Methods in Engineeringes
dc.contributor.funderConsejería de Economía y Conocimiento of the Junta de Andalucía, Grant/Award Number: US-1265577es
dc.contributor.funderH2020 Marie Skłodowska-Curie Actions, Grant/Award Number: 861061es
dc.contributor.funderSpanish Ministerio de Ciencia, Innovación y Universidades (Spain) Grant/Award Number: P2-00595es
dc.contributor.funderMinisterio de Ciencia e Innovación of Spain, Grant/Award Number: TED2021-131649B-I00es

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