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dc.contributor.authorMilián, V.
dc.contributor.authorNavarro-Esbrí, Joaquín
dc.contributor.authorGinestar, D.
dc.contributor.authorMoles, Fran
dc.contributor.authorPeris, Bernardo
dc.date.accessioned2014-05-08T15:13:35Z
dc.date.available2014-05-08T15:13:35Z
dc.date.issued2013
dc.identifier.issn0360-5442
dc.identifier.urihttp://hdl.handle.net/10234/91730
dc.description.abstractA moving-boundary dynamic model of a shell-and-tube condenser is presented. Within this approach, the mean void fraction is a relevant parameter which is obtained, in this work, using different correlations proposed in the literature for the flow pattern analyzed. In order to evaluate the performance of the model with each different mean void fraction correlation, a set of experimental tests using R134a as working fluid, varying the main operating variables (refrigerant mass flow rate, secondary fluid mass flow rate and inlet temperature), are performed. The model performance is analyzed from the system model outputs, namely, condensing pressure and refrigerant and secondary fluid outlet temperatures. The results, comparing model predictions and experimental data, show the great influence of the mean void fraction correlation on the model predictions with noticeable discrepancies depending on the correlation used. It is also observed that the model using the homogeneous correlation frequently provides acceptable results in all the tests analyzed, although the most appropriate correlation depends on the transient characteristics.ca_CA
dc.format.extent13 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfEnergy, 2013, vol. 59 núm. 15ca_CA
dc.rightsCopyright © 2013 Elsevier Ltd. All rights reserved.ca_CA
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectDynamic modelca_CA
dc.subjectCondenserca_CA
dc.subjectExternal flowca_CA
dc.subjectVoid fractionca_CA
dc.subjectRefrigerationca_CA
dc.titleDynamic model of a shell-and-tube condenser. Analysis of the mean void fraction correlation influence on the model performanceca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttp://dx.doi.org/10.1016/j.energy.2013.07.053
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccessca_CA
dc.relation.publisherVersionhttp://www.sciencedirect.com/science/article/pii/S0360544213006592#ca_CA


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