Cited by 103Spacecraft and Cryogenic TechnologiesOffshore Engineering and TechnologiesRefrigeration and Air Conditioning Technologies

Calculation models for prediction of Liquefied Natural Gas (LNG) ageing during ship transportation

Miana, Mario, Hoyo, Rafael del, Rodrigálvarez, Vega, Valdés, José Ramón, Llorens, Raúl·2010·Applied Energy

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Crossref · 10.1016/j.apenergy.2009.10.023

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  • Many computational fluid dynamics (CFD) and thermodynamic boil-off models have been developed for cryogenic liquids such as liquefied natural gas (LNG), including models based on heat ingress and subsequent BOG rates and those accounting for heat transfer between the vapor and liquid phases.

    “Many computational fluid dynamics (CFD) and thermodynamic boil-off models have been developed for cryogenic liquids such as liquefied natural gas (LNG), including models based on heat ingress and subsequent BOG rates and those accounting for heat transfer between the vapor and liquid phases [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55].”

    From Modelling of Liquid Hydrogen Boil-Off (2022) · cites this paper as [40]

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Authors
Miana, M., Hoyo, R. D., Rodrigálvarez, V., Valdés, J. R., & Llorens, R.
Affiliations
Instituto Tecnológico de Aragón (ES)
Corresponding author
Miana, Mario
Venue
Applied Energy
Publisher
Elsevier BV
Published
2010-05
Volume
87
Issue
5
Pages
1687-1700
ISSN
0306-2619 (ISSN-L)
OpenAlex
W1975787169
Cited by
103
References
0
Citations by year
2026: 4 · 2025: 12 · 2024: 12 · 2023: 7 · 2022: 5 · 2021: 9 · 2020: 6 · 2019: 8 · 2018: 8 · 2017: 6 · 2016: 9 · 2015: 3 · 2014: 1 · 2013: 3 · 2012: 4
FWCI
6.47
Type
journal article
Language
en
Open access
closed
Locations
  • Applied Energy (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › Spacecraft and Cryogenic Technologies
  • Physical Sciences › Engineering › Ocean Engineering › Offshore Engineering and Technologies
  • Physical Sciences › Engineering › Mechanical Engineering › Refrigeration and Air Conditioning Technologies
Keywords
liquefied natural gas, artificial neural networks, liquid volume, regasification

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