Azeotrope-Breaking Potential of Binary Mixtures in Phase Equilibria Modeling
Вантажиться...
Дата
2019
Автори
Назва журналу
Номер ISSN
Назва тому
Видавець
Анотація
Global phase diagrams (GPD) of binary mixtures in phase equilibria modeling are
analyzed. The mapping of the global equilibrium surface in the parameter space of the
equation of state (EoS) model provides the most comprehensive system of criteria for
predicting binary mixture phase behavior. One may obtain the relationships for
azeotropic boundaries from the global phase diagram [A (azeotrope) and H (heteroazeotrope)]
regions. Analytical expressions to predict azeotrope and double azeotrope
phenomena in terms of critical parameters of pure components were derived using
global phase diagram. The problem estimations of phase behavior modeling under the
uncertainty are formulated applying the Pareto-optimum parameter and different (crisp
and fuzzy) convolution schemes. The Paretooptimum parameters in the Redlich-Kwong
equation of state used different conflicting data sets (simultaneous description of the
phase equilibria and critical line data in binary mixtures, thermodynamically consistent
description of the inhomogeneous data). Ionic liquids (ILs) are one of prospective new
working media for different environmentally friendly technologies. Practically
undetectable vapor pressure is considered the ILs as ideal solvents replacing
conventional solvents in the frame of a “green chemistry.” Combination of ionic liquids
with conventional natural and synthetic refrigerants promotes the increasing efficiency
of absorption processes due to nonvolatile ionic liquids (absorbents).
Опис
Artemenko, S. Azeotrope-Breaking Potential of Binary Mixtures in Phase Equilibria Modeling / Artemenko Sergey, Mazur Victor // Distillation - Modelling, Simulation and Optimization / edited by V. Steffen. — 2019. — С. 1-19.
Ключові слова
azeotrope, phase equilibria, global phase diagram, equation of state, the Pareto-optimum parameters, azeotrope-breaking, ionic liquids, refrigerant blends