2011
DOI: 10.1016/j.fluid.2010.11.025
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Towards predictive association theories

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Cited by 24 publications
(27 citation statements)
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“…65 Similar cross-associating interactions for (carbon dioxide + water) were suggested by Valtz et al who used the SAFT-VR equation, 66 this time considering the possibility of CO 2 as a self-associating compound; however a value close to zero was found for the resulting bonding energy leading to the conclusion that the additional interaction is not needed. Later studies of the same system with the SAFT-VR equation have resulted in similar findings: the properties of (carbon dioxide + water) can be predicted accurately without incorporating association between the two species.…”
mentioning
confidence: 53%
“…65 Similar cross-associating interactions for (carbon dioxide + water) were suggested by Valtz et al who used the SAFT-VR equation, 66 this time considering the possibility of CO 2 as a self-associating compound; however a value close to zero was found for the resulting bonding energy leading to the conclusion that the additional interaction is not needed. Later studies of the same system with the SAFT-VR equation have resulted in similar findings: the properties of (carbon dioxide + water) can be predicted accurately without incorporating association between the two species.…”
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confidence: 53%
“…The prediction is especially promising when we have higher concentration of MEG in the feed mixture. It is also important to mention that the predictions are as good as for systems of well defined HC (n-hexane, 2,2,4-trimethylpentane) with MEG and water against recently published data [30,31].…”
Section: Table 11mentioning
confidence: 69%
“…Mixtures of acid gases (H 2 S, CO 2 ) with water, alkanes and glycols are important in various applications especially in the petroleum but also the chemical industries [1][2][3][4][5][6]. Glycols are used as gas hydrate inhibitors in gas production and transportation facilities, while they are used as solvents for water in gas dehydration process.…”
Section: Introduction and Modelling Approachesmentioning
confidence: 99%