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dc.contributor.authorMartínez-Ángeles, Manel
dc.contributor.authorCalleja-Anta, Daniel
dc.contributor.authorNebot-Andres, Laura
dc.contributor.authorLlopis, Rodrigo
dc.date.accessioned2024-06-21T07:13:26Z
dc.date.available2024-06-21T07:13:26Z
dc.date.issued2024-08-15
dc.identifier.citationM. Martínez-Ángeles, D. Calleja-Anta, L. Nebot-Andrés, R. Llopis, Compressor model for CO2-doped blends. Correction factor of EN 12900 for mixtures with R152a, R290, R1233zd(E), Appl. Therm. Eng. 251 (2024) 123607. https://doi.org/10.1016/j.applthermaleng.2024.123607ca_CA
dc.identifier.issn1359-4311
dc.identifier.issn1873-5606
dc.identifier.urihttp://hdl.handle.net/10234/207884
dc.description.abstractIt has been experimentally verified that doping CO2 with small amounts of other fluids enhances the COP of refrigeration systems thanks to the modification of the thermophysical properties, as it increases the critical temperature and pressure, and moves the operation to subcritical at high ambient temperatures. Up to now, theoretical studies are mainly based on the compressor information provided by the manufacturer according to the standard EN 12900 which represent the behaviour of the compressor using polynomial relations. However, manufacturers only offer information for pure-CO2 compressor operation and there are no tools to predict their performance when working with CO2-doped fluids. This work fills this gap since it develops a correlation for predicting the performance of CO2 compressors when used with mixtures. A CO2 semi-hermetic compressor was tested with mixtures (R152a at 5 and 10 %; R290 at 5 %; and R1233zd(E) at 5 % by mass) and the data was used to define a correction factor of the standard EN 12900 (for pure CO2) to predict compressor power consumption and mass flow rate when working with mixtures. In addition, the model also allows determination of compressor’s discharge temperature, volumetric and overall efficiencies. The model, developed ensuring good balance between complexity and accuracy, allows determination of these variables with a precision of 5 % using as input variables the reduced discharge and suction pressures and the reduced suction temperature. This model can be used to extend the investigation of CO2-doped fluids in more complex refrigeration architectures.ca_CA
dc.description.sponsorShipFunding for open access charge: CRUE-Universitat Jaume I
dc.format.extent9 p.ca_CA
dc.format.mimetypeapplication/pdfca_CA
dc.language.isoengca_CA
dc.publisherElsevierca_CA
dc.relation.isPartOfApplied Thermal Engineering, 2024, vol. 251ca_CA
dc.rights© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).ca_CA
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/ca_CA
dc.subjectmixturesca_CA
dc.subjectCO2ca_CA
dc.subjectexperimentalca_CA
dc.subjectempirical modelca_CA
dc.subjectsemi-hermetic compressorca_CA
dc.titleCompressor model for CO2-doped blends. Correction factor of EN 12900 for mixtures with R152a, R290, R1233zd(E)ca_CA
dc.typeinfo:eu-repo/semantics/articleca_CA
dc.identifier.doihttps://doi.org/10.1016/j.applthermaleng.2024.123607
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca_CA
dc.relation.publisherVersionhttps://www.sciencedirect.com/science/article/pii/S1359431124012754ca_CA
dc.description.sponsorshipThis article is part of the project TED2021-130162B-I00. Funded by MCIN/AEI/10.13039/501100011033 and by the European Union – NextGenerationEU “NextGenerationEU”/PRTR. Authors want to acknowledge the economic support to this study by the European Union – “NextGenerationEU” (L. Nebot. Margarita Salas postdoctoral contract MGS/2022/15; M. E. Martínez. grant INVEST/2022/294 and by Jaume I University (project UJI-B2021-10); Daniel Calleja grant PREDOC/2019/19 by Jaume I University.
dc.type.versioninfo:eu-repo/semantics/publishedVersionca_CA
project.funder.identifierhttp://dx.doi.org/10.13039/501100011033ca_CA
project.funder.nameMinisterio de Ciencia e Innovaciónca_CA
project.funder.nameEuropean Commissionca_CA
project.funder.nameGeneralitat Valencianaca_CA
project.funder.nameUniversitat Jaume Ica_CA
oaire.awardNumberMCIN/PEICTI2021-2023/TED2021-130162B-I00ca_CA
oaire.awardNumberMGS/2022/15ca_CA
oaire.awardNumberINVEST/2022/294ca_CA
oaire.awardNumberUJI-B2021-10ca_CA
oaire.awardNumberPREDOC/2019/19ca_CA


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© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).