期刊
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
卷 48, 期 12, 页码 5867-5873出版社
AMER CHEMICAL SOC
DOI: 10.1021/ie8019246
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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.
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