dc.creator | Liu, Zeng | es |
dc.creator | Lenarda, Pietro | es |
dc.creator | Reinoso Cuevas, José Antonio | es |
dc.creator | Paggi, Marco | es |
dc.date.accessioned | 2023-05-02T07:12:19Z | |
dc.date.available | 2023-05-02T07:12:19Z | |
dc.date.issued | 2023-03 | |
dc.identifier.citation | Liu, 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.issn | 0029-5981 | es |
dc.identifier.issn | 1097-0207 | es |
dc.identifier.uri | https://hdl.handle.net/11441/144895 | |
dc.description.abstract | A 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.format | application/pdf | es |
dc.format.extent | 26 p. | es |
dc.language.iso | eng | es |
dc.publisher | Wiley | es |
dc.relation.ispartof | International Journal for Numerical Methods in Engineering. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Finite element method | es |
dc.subject | Photovoltaics | es |
dc.subject | Reaction-diffusion | es |
dc.subject | Thermo-chemo-mechanical theory | es |
dc.title | A multifield coupled thermo-chemo-mechanical theory for the reaction-diffusion modeling in photovoltaics | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Mecánica de Medios Continuos y Teoría de Estructuras | es |
dc.relation.projectID | US-1265577 | es |
dc.relation.projectID | EU H2020 861061 | es |
dc.relation.projectID | P2-00595 | es |
dc.relation.projectID | TED2021-131649B-I00 | es |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/full/10.1002/nme.7233 | es |
dc.identifier.doi | 10.1002/nme.7233 | es |
dc.contributor.group | Universidad de Sevilla. TEP131: Elasticidad y Resistencia de Materiales | es |
idus.validador.nota | Online Version of Record before inclusion in an issue | es |
dc.journaltitle | International Journal for Numerical Methods in Engineering | es |
dc.contributor.funder | Consejería de Economía y Conocimiento of the Junta de Andalucía, Grant/Award Number: US-1265577 | es |
dc.contributor.funder | H2020 Marie Skłodowska-Curie Actions, Grant/Award Number: 861061 | es |
dc.contributor.funder | Spanish Ministerio de Ciencia, Innovación y Universidades (Spain) Grant/Award Number: P2-00595 | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación of Spain, Grant/Award Number: TED2021-131649B-I00 | es |