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dc.contributor.authorLozano Martín, Daniel 
dc.contributor.authorTuma, Dirk
dc.contributor.authorChamorro Camazón, César Rubén 
dc.date.accessioned2025-10-31T14:13:27Z
dc.date.available2025-10-31T14:13:27Z
dc.date.issued2025
dc.identifier.citationInternational Journal of Thermophysiscs, 2025, vol. 46, n. 200, p. 1-25.es
dc.identifier.issn1572-9567es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/79166
dc.descriptionProducción Científicaes
dc.description.abstractThis study evaluates the performance of three reference equations of state (EoS), AGA8-DC92, GERG-2008, and SGERG-88, in predicting the density of regasified liquefied natural gas (RLNG) mixtures. A synthetic nine-component RLNG mixture was gravimetrically prepared. High-precision density measurements were obtained using a single-sinker magnetic suspension densimeter over a temperature range of (250 to 350) K and pressures up to 20 MPa. The experimental data were compared with EoS predictions to evaluate their accuracy. AGA8-DC92 and GERG-2008 showed excellent agreement with the experimental data, with deviations within their stated uncertainty. In contrast, SGERG-88 exhibited significantly larger deviations for this RLNG mixture, particularly at low temperatures of (250 to 260) K, where discrepancies reached up to 3 %. Even at 300 K, deviations larger than 0.4 % were observed at high pressures, within the model’s uncertainty, but notably higher than those of the other two EoSs. The analysis was extended to three conventional 11-component natural gas mixtures (labeled G420 NG, G431 NG, and G432 NG), previously studied by our group using the same methodology. While SGERG-88 showed reduced accuracy for the RLNG mixture, it performed reasonably well for these three mixtures, despite two of them have a very similar composition to the RLNG. This discrepancy is attributed to the lower CO2 and N2 content typical in RLNG mixtures, demonstrating the sensitivity of EoS performance to minor differences in composition. These findings highlight the importance of selecting appropriate EoS models for accurate density prediction in RLNG applications.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringer Naturees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationAGA8-DC92es
dc.subject.classificationGERG-2008es
dc.subject.classificationGravimetric preparationes
dc.subject.classificationRegasified LNGes
dc.subject.classificationSGERG-88es
dc.subject.classificationSingle-sinker densimeteres
dc.titleEvaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Dataes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1007/s10765-025-03669-4es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10765-025-03669-4es
dc.identifier.publicationfirstpage1es
dc.identifier.publicationissue200es
dc.identifier.publicationlastpage25es
dc.identifier.publicationtitleInternational Journal of Thermophysicses
dc.identifier.publicationvolume46es
dc.peerreviewedSIes
dc.description.projectOpen access funding provided by FEDER European Funds and the Junta de Castilla y León under the Research and Innovation Strategy for Smart Specialization (RIS3) of Castilla y León 2021-2027. This study was supported by the Regional Government of Castilla y León (Junta de Castilla y León), the Ministry of Science and Innovation MCIN, the European Union NextGenerationEU/PRTR, under project C17.I01.P01.S21, and by the European Metrology Program for Innovation and Research (EMPIR), Funder ID: https://doi.org/10.13039/100014132, Grant No. 19ENG03 MefHySto.es
dc.identifier.essn1572-9567es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones


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