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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/79166

    Título
    Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
    Autor
    Lozano Martín, DanielAutoridad UVA Orcid
    Tuma, Dirk
    Chamorro Camazón, César RubénAutoridad UVA Orcid
    Año del Documento
    2025
    Editorial
    Springer Nature
    Descripción
    Producción Científica
    Documento Fuente
    International Journal of Thermophysiscs, 2025, vol. 46, n. 200, p. 1-25.
    Resumen
    This 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.
    Palabras Clave
    AGA8-DC92
    GERG-2008
    Gravimetric preparation
    Regasified LNG
    SGERG-88
    Single-sinker densimeter
    ISSN
    1572-9567
    Revisión por pares
    SI
    DOI
    10.1007/s10765-025-03669-4
    Patrocinador
    Open 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.
    Version del Editor
    https://link.springer.com/article/10.1007/s10765-025-03669-4
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/79166
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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    • DEP31 - Artículos de revista [173]
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