High pressure multi-component vapor-liquid equilibrium data and model predictions for the LNG industry

Thomas J. Hughes, Jerry Y. Guo, Corey J. Baker, Darren Rowland, Brendan F. Graham, Kenneth N. Marsh, Stanley H. Huang, Eric F. May

    Research output: Contribution to journalArticle

    4 Citations (Scopus)

    Abstract

    Accurate simulations of scrub columns in liquefied natural gas (LNG) plants are challenging, requiring frequent solution of the non-linear equations governing vapor-liquid equilibrium (VLE), material, and energy balances for multi-component mixtures. Reliable fluid property predictions at high pressures and low temperatures are thus crucial; however, no high-quality multi-component VLE data at conditions relevant to the LNG scrub column are available to test commonly-used equations of state (EOS). Here we report VLE measurements at pressures to 9 MPa and temperatures from (203 to 273) K for mixtures containing CH4, C2H6, C3H8, iC4H10, nC4H10 and/or N2. Far from the mixture's critical point, the GERG-2008 EOS predictions were more accurate than the Peng-Robinson EOS predictions. Above 7 MPa both EOS under-predicted the liquid phase's methane content and over-predicted its butane content by 10–50 times the experimental uncertainty. Rowland et al.'s recent revision of the GERG model reduced the maximum deviations by (17–35)%. Further optimizations should improve the constituent binary departure functions and hence improve the description of multicomponent VLE data, particularly at conditions relevant to LNG production.

    Original languageEnglish
    Pages (from-to)81-90
    Number of pages10
    JournalJournal of Chemical Thermodynamics
    Volume113
    DOIs
    Publication statusPublished - 1 Oct 2017

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    liquefied natural gas
    liquid-vapor equilibrium
    Gas industry
    Liquefied natural gas
    Equations of state
    Phase equilibria
    brush (botany)
    equations of state
    industries
    predictions
    Gas plants
    Methane
    Butane
    butanes
    Energy balance
    Nonlinear equations
    nonlinear equations
    critical point
    liquid phases
    methane

    Cite this

    Hughes, Thomas J. ; Guo, Jerry Y. ; Baker, Corey J. ; Rowland, Darren ; Graham, Brendan F. ; Marsh, Kenneth N. ; Huang, Stanley H. ; May, Eric F. / High pressure multi-component vapor-liquid equilibrium data and model predictions for the LNG industry. In: Journal of Chemical Thermodynamics. 2017 ; Vol. 113. pp. 81-90.
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    abstract = "Accurate simulations of scrub columns in liquefied natural gas (LNG) plants are challenging, requiring frequent solution of the non-linear equations governing vapor-liquid equilibrium (VLE), material, and energy balances for multi-component mixtures. Reliable fluid property predictions at high pressures and low temperatures are thus crucial; however, no high-quality multi-component VLE data at conditions relevant to the LNG scrub column are available to test commonly-used equations of state (EOS). Here we report VLE measurements at pressures to 9 MPa and temperatures from (203 to 273) K for mixtures containing CH4, C2H6, C3H8, iC4H10, nC4H10 and/or N2. Far from the mixture's critical point, the GERG-2008 EOS predictions were more accurate than the Peng-Robinson EOS predictions. Above 7 MPa both EOS under-predicted the liquid phase's methane content and over-predicted its butane content by 10–50 times the experimental uncertainty. Rowland et al.'s recent revision of the GERG model reduced the maximum deviations by (17–35){\%}. Further optimizations should improve the constituent binary departure functions and hence improve the description of multicomponent VLE data, particularly at conditions relevant to LNG production.",
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    High pressure multi-component vapor-liquid equilibrium data and model predictions for the LNG industry. / Hughes, Thomas J.; Guo, Jerry Y.; Baker, Corey J.; Rowland, Darren; Graham, Brendan F.; Marsh, Kenneth N.; Huang, Stanley H.; May, Eric F.

    In: Journal of Chemical Thermodynamics, Vol. 113, 01.10.2017, p. 81-90.

    Research output: Contribution to journalArticle

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    AU - Hughes, Thomas J.

    AU - Guo, Jerry Y.

    AU - Baker, Corey J.

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    AU - Graham, Brendan F.

    AU - Marsh, Kenneth N.

    AU - Huang, Stanley H.

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