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Prediction of Vapor-Liquid Equilibria with the LCVM Model: Systems Containing Light Gases with Medium and High Molecular Weight Compounds

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dc.contributor.author Boukouvalas, CJ en
dc.contributor.author Magoulas, KG en
dc.contributor.author Stamataki, SK en
dc.contributor.author Tassios, DP en
dc.date.accessioned 2014-03-01T01:13:16Z
dc.date.available 2014-03-01T01:13:16Z
dc.date.issued 1997 en
dc.identifier.issn 0888-5885 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/12406
dc.subject Model System en
dc.subject High Molecular Weight en
dc.subject Vapor Liquid Equilibria en
dc.subject.classification Engineering, Chemical en
dc.subject.other Hydrocarbons en
dc.subject.other Hydrogen sulfide en
dc.subject.other Mathematical models en
dc.subject.other Mixtures en
dc.subject.other Sour gas en
dc.subject.other Multicomponent mixtures en
dc.subject.other Phase equilibria en
dc.title Prediction of Vapor-Liquid Equilibria with the LCVM Model: Systems Containing Light Gases with Medium and High Molecular Weight Compounds en
heal.type journalArticle en
heal.identifier.primary 10.1021/ie970058v en
heal.identifier.secondary http://dx.doi.org/10.1021/ie970058v en
heal.language English en
heal.publicationDate 1997 en
heal.abstract The LCVM model (Boukouvalas et al., 1994) is applied to the prediction of vapor-liquid equilibria (VLE) for a variety of binary, ternary, and multicomponent mixtures involving gaseous components (CH4, H2S, C2H8, C3H8, and CO2) with medium and high molecular weight hydrocarbons and/or polar compounds. New interaction parameters (Ch(4)/-CH2O-, CH4/-OCCOH, and CH4/gases) are evaluated, surd some existing ones (H2S/-CH2-, CH4/ACH, CH4/ACCH(2), and C2H6/ACCH(2)) are reevaluated by using additional data. Very satisfactory results are obtained in all cases, even for asymmetric systems, where the MHV2 model (Dahl et al., 1991) fails. Of special interest are the successful results for the multicomponent systems that involve up to 24 components, including a H2S-fich sour gas mixture. LCVM is, thus, a powerful model for the prediction of VLE for a broad range of binary and multicomponent, systems. en
heal.publisher AMER CHEMICAL SOC en
heal.journalName Industrial and Engineering Chemistry Research en
dc.identifier.doi 10.1021/ie970058v en
dc.identifier.isi ISI:A1997YJ88100053 en
dc.identifier.volume 36 en
dc.identifier.issue 12 en
dc.identifier.spage 5454 en
dc.identifier.epage 5460 en


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