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dc.contributor.authorPérez-Gallego, David
dc.contributor.authorGonzález Ayala, Julián 
dc.contributor.authorMedina Domínguez, Alejandro 
dc.contributor.authorCalvo Hernández, Antonio 
dc.date.accessioned2025-02-25T11:55:17Z
dc.date.available2025-02-25T11:55:17Z
dc.date.issued2025
dc.identifier.citationD. Pérez-Gallego, J. Gonzalez-Ayala, A. Medina, A. Calvo Hernández, Comprehensive review of dynamical simulation models of packed-bed systems for thermal energy storage applications in renewable power production, Heliyon, Volume 11, Issue 4, 2025, e42803, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2025.e42803. (https://www.sciencedirect.com/science/article/pii/S2405844025011843)es_ES
dc.identifier.issn2405-8440
dc.identifier.urihttp://hdl.handle.net/10366/163948
dc.description.abstract[EN]The need for large-scale energy storage in the context of renewable electricity production worldwide is evident. Among the various energy storage methods, thermal energy storage stands out. It is independent of geographical location, allows high storage capacities, does not require scarce materials, and is cheaper than its direct competitors. Currently, several technologies are being intensively developed. In some of them, packed-bed systems play a central role: a heat transfer fluid heats up or releases heat from a porous solid that acts as a thermal energy reservoir. This work compiles their application to concepts such as concentrated solar power, pumped thermal energy storage, and compressed or liquid air energy storage. Different physical models with diverse rfinement degrees and the corresponding computational schemes are comprehensively presented. Comparison with previous experimental works includes gas or liquid heat transfer fluids, sensible or latent heat transfers, and a wide range of temperature levels. It is shown that the continuous 1D solid phase model solved with an implicit Euler method provides satisfactory results with a reasonable computing time for various systems. The ifluence of time step and spatial mesh is surveyed, as well as that of pressure drops. Efficiencies and stored energies are calculated for some particular cases, and sensitivity analysis is presented, including parameters such as fluid velocity in discharge and storage time. Concerning the latter, discharge efficiencies for long-time storage (between 10 and 15 h) are fairly good, between 0.39 and 0.20.es_ES
dc.description.sponsorshipD. Pérez-Gallego thanks financial support from Fondo Social Europeo Plus and Consejería de Educación de la Junta de Castilla y León under their Ph.D. grant program (EDU/1868/2022). Funds from Universidad de Salamanca and Ministerio de Ciencia, Innovación y Universidades of Spain under grant PID2023-147201OB-I00 are also acknowledged.es_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEnergy storage technologieses_ES
dc.subjectThermal energy storagees_ES
dc.subjectPacked-bed systemes_ES
dc.subjectThermoclines numerical simulationes_ES
dc.subjectEfficient computinges_ES
dc.subjectCharge-discharge efficiencieses_ES
dc.titleComprehensive review of dynamical simulation models of packed-bed systems for thermal energy storage applications in renewable power productiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.heliyon.2025.e42803es_ES
dc.identifier.doi10.1016/j.heliyon.2025.e42803
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleHeliyones_ES
dc.volume.number11es_ES
dc.issue.number4es_ES
dc.page.initiale42803es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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