Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data

Producción Científica

Detalles Bibliográficos
Autores: Lozano Martín, Daniel, Tuma, Dirk, Chamorro Camazón, César Rubén
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Valladolid
Repositorio:UVaDOC. Repositorio Documental de la Universidad de Valladolid
OAI Identifier:oai:uvadoc.uva.es:10324/79166
Acceso en línea:https://doi.org/10.1007/s10765-025-03669-4
https://uvadoc.uva.es/handle/10324/79166
Access Level:acceso abierto
Palabra clave:AGA8-DC92
GERG-2008
Gravimetric preparation
Regasified LNG
SGERG-88
Single-sinker densimeter
2213 Termodinámica
3303 Ingeniería y Tecnología Químicas
id ES_8a72477db8de6ed5886fc9155ab07c31
oai_identifier_str oai:uvadoc.uva.es:10324/79166
network_acronym_str ES
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repository_id_str
spelling Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental DataLozano Martín, DanielTuma, DirkChamorro Camazón, César RubénAGA8-DC92GERG-2008Gravimetric preparationRegasified LNGSGERG-88Single-sinker densimeter2213 Termodinámica3303 Ingeniería y Tecnología QuímicasProducción CientíficaThis 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.Junta de Castilla y León / Ministerio de Ciencia e Innovación (MCIN) / European Union NextGenerationEU/PRTR: C17.I01.P01.S21European Metrology Program for Innovation and Research (EMPIR): 19ENG03 MefHySto (Funder ID: https://doi.org/10.13039/100014132)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.Springer Nature2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1007/s10765-025-03669-4https://uvadoc.uva.es/handle/10324/79166reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolidinstname:Universidad de ValladolidIngléshttps://link.springer.com/article/10.1007/s10765-025-03669-4info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/oai:uvadoc.uva.es:10324/791662026-06-13T12:44:47Z
dc.title.none.fl_str_mv Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
title Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
spellingShingle Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
Lozano Martín, Daniel
AGA8-DC92
GERG-2008
Gravimetric preparation
Regasified LNG
SGERG-88
Single-sinker densimeter
2213 Termodinámica
3303 Ingeniería y Tecnología Químicas
title_short Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
title_full Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
title_fullStr Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
title_full_unstemmed Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
title_sort Evaluation of Reference Equations of State for Density Prediction in Regasified LNG Mixtures Using High-Precision Experimental Data
dc.creator.none.fl_str_mv Lozano Martín, Daniel
Tuma, Dirk
Chamorro Camazón, César Rubén
author Lozano Martín, Daniel
author_facet Lozano Martín, Daniel
Tuma, Dirk
Chamorro Camazón, César Rubén
author_role author
author2 Tuma, Dirk
Chamorro Camazón, César Rubén
author2_role author
author
dc.subject.none.fl_str_mv AGA8-DC92
GERG-2008
Gravimetric preparation
Regasified LNG
SGERG-88
Single-sinker densimeter
2213 Termodinámica
3303 Ingeniería y Tecnología Químicas
topic AGA8-DC92
GERG-2008
Gravimetric preparation
Regasified LNG
SGERG-88
Single-sinker densimeter
2213 Termodinámica
3303 Ingeniería y Tecnología Químicas
description Producción Científica
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1007/s10765-025-03669-4
https://uvadoc.uva.es/handle/10324/79166
url https://doi.org/10.1007/s10765-025-03669-4
https://uvadoc.uva.es/handle/10324/79166
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://link.springer.com/article/10.1007/s10765-025-03669-4
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:UVaDOC. Repositorio Documental de la Universidad de Valladolid
instname:Universidad de Valladolid
instname_str Universidad de Valladolid
reponame_str UVaDOC. Repositorio Documental de la Universidad de Valladolid
collection UVaDOC. Repositorio Documental de la Universidad de Valladolid
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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