کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
11006580 1506503 2018 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparison of SAFT-VR-Mie and CP-PC-SAFT in predicting phase behavior of associating systems II. Ammonia - Hydrocarbons
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی تئوریک و عملی
پیش نمایش صفحه اول مقاله
Comparison of SAFT-VR-Mie and CP-PC-SAFT in predicting phase behavior of associating systems II. Ammonia - Hydrocarbons
چکیده انگلیسی
This study compares the accuracies of CP-PC-SAFT and CS-SAFT-VR-Mie in the entirely predictive estimation of the available data on ammonia-hydrocarbon systems. The nitrogen(1) - ammonia(2) and R1234yf(1) - ammonia(2) systems are considered as well. CS-SAFT-VR-Mie is also implemented for predicting phase equilibria in the aqueous systems of aromatic hydrocarbons and compared with the previously published results of CP-PC-SAFT. Both approaches comprise predictive parametrization schemes for the non-associative compounds replacing the fitting procedures. In all the cases k12 = 0 along with a universal value of εcross = 0.6 εAB for the systems of aromatic compounds are used. It is demonstrated that despite the differences between their molecular assumptions and parametrization strategies, these models can be characterized by a comparable over-all accuracy, while CP-PC-SAFT is advantageous in estimating the global phase behavior. Nevertheless, both models could be assumed as reliable enough for raw predictions of the unavailable data in the considered systems. Bearing in mind the fact that all parts of the thermodynamic phase-space are closely inter-related, the current results could rather be attributed to the realistic values of co-volume along with the capability of the considered models to describe the critical and sub-critical pure compound data simultaneously, than to a profundity of their molecular backgrounds.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Molecular Liquids - Volume 269, 1 November 2018, Pages 657-665
نویسندگان
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