[article]
Titre : |
Application of the simplified perturbed-chain SAFT to hydrocarbon systems with new group-contribution parameters |
Type de document : |
texte imprimé |
Auteurs : |
Zhi-Yong Zeng, Auteur ; Yuan-Yuan Xu, Auteur ; Xu Hao, Auteur |
Année de publication : |
2009 |
Article en page(s) : |
pp. 5867–5873 |
Note générale : |
Chemical engineering |
Langues : |
Anglais (eng) |
Mots-clés : |
Group contribution method Simplified perturbed-chain Statistical associating fluid theory Hydrocarbon Genetic algorithm |
Résumé : |
A new group contribution (GC) method has been developed to estimate parameters of the simplified perturbed-chain statistical associating fluid theory (sPC-SAFT) for hydrocarbon. A key advantage of this method is that the binary interaction parameter between groups has been adopted in estimating the molecular parameter of pure component. Besides, parameters of all single groups are set to be the same for simplifying the model. Using genetic algorithm, twelve group interaction parameters are estimated on the basis of 71 sets of pure components of sPC-SAFT parameters. Tests and comparisons with other methods were performed in calculating the PVT and phase equilibrium data of heavy and branched hydrocarbon systems. The results show that the present GC method is better than the other predictive approaches in calculating parameters of sPC-SAFT. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie8019246 |
in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5867–5873
[article] Application of the simplified perturbed-chain SAFT to hydrocarbon systems with new group-contribution parameters [texte imprimé] / Zhi-Yong Zeng, Auteur ; Yuan-Yuan Xu, Auteur ; Xu Hao, Auteur . - 2009 . - pp. 5867–5873. Chemical engineering Langues : Anglais ( eng) in Industrial & engineering chemistry research > Vol. 48 N° 12 (Juin 2009) . - pp. 5867–5873
Mots-clés : |
Group contribution method Simplified perturbed-chain Statistical associating fluid theory Hydrocarbon Genetic algorithm |
Résumé : |
A new group contribution (GC) method has been developed to estimate parameters of the simplified perturbed-chain statistical associating fluid theory (sPC-SAFT) for hydrocarbon. A key advantage of this method is that the binary interaction parameter between groups has been adopted in estimating the molecular parameter of pure component. Besides, parameters of all single groups are set to be the same for simplifying the model. Using genetic algorithm, twelve group interaction parameters are estimated on the basis of 71 sets of pure components of sPC-SAFT parameters. Tests and comparisons with other methods were performed in calculating the PVT and phase equilibrium data of heavy and branched hydrocarbon systems. The results show that the present GC method is better than the other predictive approaches in calculating parameters of sPC-SAFT. |
En ligne : |
http://pubs.acs.org/doi/abs/10.1021/ie8019246 |
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