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dc.contributor.authorSalazar Herrán, Erik
dc.contributor.authorMartín Escudero, Koldobika ORCID
dc.contributor.authorDel Portillo Valdés, Luis Alfonso ORCID
dc.contributor.authorFlores Abascal, Iván
dc.contributor.authorRomero Antón, Naiara
dc.date.accessioned2024-02-08T10:25:55Z
dc.date.available2024-02-08T10:25:55Z
dc.date.issued2020-11-13
dc.identifier.citationInternational Journal of Refrigeration 110 : 83-94 (2020)es_ES
dc.identifier.issn1879-2081
dc.identifier.issn0140-7007
dc.identifier.urihttp://hdl.handle.net/10810/65304
dc.description.abstractIn order to improve the energy efficiency and control of heat pump systems, it is necessary to develop dynamic models that accurately simulate their real performance. In addition, these models will help to carry out future works of research, such as new low carbon refrigerant testing. Physics-based models follow a set of physics laws that characterize the model as the most accurate, versatile and robust to simulate different heat pump systems. Taking into account the fact that the dynamics of the elements that regulate mass flow (compressors and valves) are much faster than the dynamics of the components that regulate heat transfer (heat exchangers), the model complexity usually resides in the latter. This paper provides a detailed explanation of the physics-based dynamic model in Matlab/Simulink using the finite-control volume approach applied to a refrigerant-to-liquid plate heat exchanger. Dynamic experimental tests were developed to validate the model under four possible situations: condenser and evaporator heat exchangers working in both counter- and parallel-flow. In addition, an approximation of the number of finite control volumes required to reach a good accuracy, while maintaining a reasonable simulation time is presented. Simulation results show great accuracy when compared to experimental tests. It was proved by calculating the Normalized Residual Error, which is between 1.1 E-04 and 1.0 E-03 in all cases. It was also concluded that using twenty finite control volumes, there is good agreement between the accuracy of the results and the computational time.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectplate heat exchangerses_ES
dc.subjectdynamic modelinges_ES
dc.subjectexperimental validationes_ES
dc.subjectfinite control volume approaches_ES
dc.subjectreversible heat pump systemses_ES
dc.subjectMatlab/Simulinkes_ES
dc.titleFlexible dynamic model of PHEX for transient simulations in Matlab/Simulink using finite control volume methodes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2019 Elsevier Ltd and IIR. under CC BY-NC-ND license
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0140700719304682
dc.identifier.doi10.1016/j.ijrefrig.2019.11.003
dc.departamentoesIngeniería Energéticaes_ES
dc.departamentoeuEnergia Ingenieritzaes_ES


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© 2019 Elsevier Ltd and IIR. under CC BY-NC-ND license
Except where otherwise noted, this item's license is described as © 2019 Elsevier Ltd and IIR. under CC BY-NC-ND license