Ternary Vapor–Liquid Equilibrium Measurements and Modeling of Ethylene Glycol (1) + Water (2) + Methane (3) Systems at 6 and 12.5 MPa

Francois J. Kruger, Marie V. Danielsen, Georgios M. Kontogeorgis, Even Solbraa, Nicolas von Solms*

*Corresponding author for this work

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Abstract

Novel technologies in the field of subsea gasprocessing include the development of natural gas dehydration facilities, which may operate at high pressure due to their proximity to reservoirs. For the qualification and design of these processing units, ternary vapor−liquid equilibrium data are required to validate the thermodynamic models used in the design process. For this purpose, 16 new ternary data points were measured for ethylene glycol (1) + water (2) + methane (3) at 6.0 and 12.5 MPa with temperatures ranging from 288to 323 K and glycol content above 90 wt %. Glycol in gas (y1),water in gas (y2), and methane solubility (x3) were measured with relative experimental uncertainties (ur(x) = u(x)/|x|)below 12%, depending on the type of data. The Cubic-Plus-Association (CPA) equation of state was used to model the data. Literature pure component and binary interaction parameters were used. It was found that the model provides a good qualitative description of the experimental data for y1 and y2, while a significant over-prediction occurs for x3. The modeling errors for CPA ranged between 5−40% average absolute relativedeviation.
Original languageEnglish
JournalJournal of Chemical and Engineering Data
Volume63
Issue number5
Pages (from-to)1789-1796
Number of pages8
ISSN0021-9568
DOIs
Publication statusPublished - 2018

Cite this

@article{274787df34e24f5dbff41591417e1694,
title = "Ternary Vapor–Liquid Equilibrium Measurements and Modeling of Ethylene Glycol (1) + Water (2) + Methane (3) Systems at 6 and 12.5 MPa",
abstract = "Novel technologies in the field of subsea gasprocessing include the development of natural gas dehydration facilities, which may operate at high pressure due to their proximity to reservoirs. For the qualification and design of these processing units, ternary vapor−liquid equilibrium data are required to validate the thermodynamic models used in the design process. For this purpose, 16 new ternary data points were measured for ethylene glycol (1) + water (2) + methane (3) at 6.0 and 12.5 MPa with temperatures ranging from 288to 323 K and glycol content above 90 wt {\%}. Glycol in gas (y1),water in gas (y2), and methane solubility (x3) were measured with relative experimental uncertainties (ur(x) = u(x)/|x|)below 12{\%}, depending on the type of data. The Cubic-Plus-Association (CPA) equation of state was used to model the data. Literature pure component and binary interaction parameters were used. It was found that the model provides a good qualitative description of the experimental data for y1 and y2, while a significant over-prediction occurs for x3. The modeling errors for CPA ranged between 5−40{\%} average absolute relativedeviation.",
author = "Kruger, {Francois J.} and Danielsen, {Marie V.} and Kontogeorgis, {Georgios M.} and Even Solbraa and {von Solms}, Nicolas",
year = "2018",
doi = "10.1021/acs.jced.8b00115",
language = "English",
volume = "63",
pages = "1789--1796",
journal = "Journal of Chemical and Engineering Data",
issn = "0021-9568",
publisher = "American Chemical Society",
number = "5",

}

Ternary Vapor–Liquid Equilibrium Measurements and Modeling of Ethylene Glycol (1) + Water (2) + Methane (3) Systems at 6 and 12.5 MPa. / Kruger, Francois J.; Danielsen, Marie V.; Kontogeorgis, Georgios M.; Solbraa, Even; von Solms, Nicolas.

In: Journal of Chemical and Engineering Data, Vol. 63, No. 5, 2018, p. 1789-1796.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Ternary Vapor–Liquid Equilibrium Measurements and Modeling of Ethylene Glycol (1) + Water (2) + Methane (3) Systems at 6 and 12.5 MPa

AU - Kruger, Francois J.

AU - Danielsen, Marie V.

AU - Kontogeorgis, Georgios M.

AU - Solbraa, Even

AU - von Solms, Nicolas

PY - 2018

Y1 - 2018

N2 - Novel technologies in the field of subsea gasprocessing include the development of natural gas dehydration facilities, which may operate at high pressure due to their proximity to reservoirs. For the qualification and design of these processing units, ternary vapor−liquid equilibrium data are required to validate the thermodynamic models used in the design process. For this purpose, 16 new ternary data points were measured for ethylene glycol (1) + water (2) + methane (3) at 6.0 and 12.5 MPa with temperatures ranging from 288to 323 K and glycol content above 90 wt %. Glycol in gas (y1),water in gas (y2), and methane solubility (x3) were measured with relative experimental uncertainties (ur(x) = u(x)/|x|)below 12%, depending on the type of data. The Cubic-Plus-Association (CPA) equation of state was used to model the data. Literature pure component and binary interaction parameters were used. It was found that the model provides a good qualitative description of the experimental data for y1 and y2, while a significant over-prediction occurs for x3. The modeling errors for CPA ranged between 5−40% average absolute relativedeviation.

AB - Novel technologies in the field of subsea gasprocessing include the development of natural gas dehydration facilities, which may operate at high pressure due to their proximity to reservoirs. For the qualification and design of these processing units, ternary vapor−liquid equilibrium data are required to validate the thermodynamic models used in the design process. For this purpose, 16 new ternary data points were measured for ethylene glycol (1) + water (2) + methane (3) at 6.0 and 12.5 MPa with temperatures ranging from 288to 323 K and glycol content above 90 wt %. Glycol in gas (y1),water in gas (y2), and methane solubility (x3) were measured with relative experimental uncertainties (ur(x) = u(x)/|x|)below 12%, depending on the type of data. The Cubic-Plus-Association (CPA) equation of state was used to model the data. Literature pure component and binary interaction parameters were used. It was found that the model provides a good qualitative description of the experimental data for y1 and y2, while a significant over-prediction occurs for x3. The modeling errors for CPA ranged between 5−40% average absolute relativedeviation.

U2 - 10.1021/acs.jced.8b00115

DO - 10.1021/acs.jced.8b00115

M3 - Journal article

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SP - 1789

EP - 1796

JO - Journal of Chemical and Engineering Data

JF - Journal of Chemical and Engineering Data

SN - 0021-9568

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