Fluid phase equilibria prediction of fluorocompound-containing binary systems with the predictive E-PPR78 model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue International Journal of Refrigeration Année : 2017

Fluid phase equilibria prediction of fluorocompound-containing binary systems with the predictive E-PPR78 model

(1) , (1) , (1) , (2) , (3)
1
2
3

Résumé

In order to reduce the overall emissions of greenhouse gases and to be in compliance with the current environmental regulations, a new class of refrigerants, making use of fluorocompounds has appeared. Such refrigerants are often blends of alkanes, CO 2 and fluorocompounds. Consequently an equation of state (EoS) able to predict the properties of both pure compounds and multi-component systems is required to design processes involving fluorocompounds or to implement a product-design approach aimed at identifying new refrigerant mixtures. It is however well-acknowledged that the phase behavior of binary systems like, e.g., an alkane and its corresponding perfluoroalkane, show significant deviations from ideality that need to be accurately accounted for by a thermodynamic model. In this study, in order to get a predictive model applicable to fluorocompound-containing binary systems, six groups were added to the Enhanced-PPR78 model which combines the Peng-Robinson EoS and a group contribution method aimed at estimating the binary interaction parameters, () ij kT, involved in Van der Waals one-fluid mixing rules.
Fichier principal
Vignette du fichier
pub freons_version CORRIGEE soumise.pdf (2.67 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01387444 , version 1 (25-10-2016)

Identifiants

Citer

Jun-Wei Qian, Romain Privat, Jean-Noël Jaubert, Christophe Coquelet, Deresh Ramjugernath. Fluid phase equilibria prediction of fluorocompound-containing binary systems with the predictive E-PPR78 model . International Journal of Refrigeration, 2017, 73, pp.65-90. ⟨10.1016/j.ijrefrig.2016.09.013⟩. ⟨hal-01387444⟩
224 Consultations
450 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More