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dc.contributor.authorGracia Cuesta, Alvaro de
dc.contributor.authorCabeza, Luisa F.
dc.date.accessioned2016-11-18T10:35:39Z
dc.date.available2018-10-04T22:21:07Z
dc.date.issued2016
dc.identifier.issn1364-0321
dc.identifier.urihttp://hdl.handle.net/10459.1/58576
dc.description.abstractThe detailed study of latent packed bed thermal energy storage (TES) system has been a great topic of interest in the literature. Experimental measurements have been conducted to analyze the performance of these systems, however, the complex transient nature of latent TES makes necessary the use of numerical models for detailed study and evaluation of key design parameters, which lead to a numerous scientific contributions in the field. Different and diverse numerical models have been developed, which can be mainly divided into single phase models, Schumman's model, concentric dispersion model, and continuous solid phase model. This paper provides an extensive comprehensive revision of the different numerical models, highlighting the key aspects of each one as well as the main findings in the field. Furthermore, the performance of the different methodologies are discussed and compared. The most important empirical correlations used in the different models in order to take into account physics, such as natural convection inside the spheres or effective thermal conductivity of heat transfer fluid, are also given.ca_ES
dc.description.sponsorshipThe work partially funded by the Spanish Government (ENE2015-64117-C5-1-R (MINECO/FEDER) and ENE2015-64117-C5-3-R (MINECO/FEDER)). The authors would like to thank the Catalan Government for the quality accreditation given to their research group (2014 SGR 123). This project has received funding from the European Commission Seventh Framework Programme (FP/2007-2013) under Grant agreement no. PIRSES-GA-2013-610692 (INNOSTORAGE) and from the European Union's Horizon 2020 research and innovation programme under Grant agreement no. 657466 (INPATH-TES). Alvaro de Gracia would like to thank Ministerio de Economia y Competitividad de España for Grant Juan de la Cierva, FJCI-2014-19940.ca_ES
dc.language.isoengca_ES
dc.publisherElsevierca_ES
dc.relationMINECO/PN2013-2016/ENE2015-64117-C5-1-Rca_ES
dc.relationMINECO/PN2013-2016/ENE2015-64117-C5-3-Rca_ES
dc.relation.isformatofVersió postprint del document publicat a https://doi.org/10.1016/j.rser.2016.09.092ca_ES
dc.relation.ispartofRenewable and Sustainable Energy Reviews, 2016ca_ES
dc.rightscc-by-nc-nd, (c) Elsevier, 2016ca_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectReviewca_ES
dc.subjectPacked bedca_ES
dc.subjectPhase change materials (PCM)ca_ES
dc.subjectThermal energy storage (TES)ca_ES
dc.subjectNumerical modelingca_ES
dc.titleNumerical simulation of a PCM packed bed system: A reviewca_ES
dc.typearticleca_ES
dc.identifier.idgrec024720
dc.type.versionacceptedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_ES
dc.identifier.doihttps://doi.org/10.1016/j.rser.2016.09.092
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/610692ca_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/657466/EU/INPATH-TES


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cc-by-nc-nd, (c) Elsevier, 2016
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier, 2016