Phase Equilibria of Difluoromethane (R32), 1,1,1,2-Tetrafluoroethane (R134a), and trans-1,3,3,3-Tetrafluoro-1-propene (R1234ze(E)) Probed by Experimental Measurements and Monte Carlo Simulations

Tao Yang, J. Ilja Siepmann, Jiangtao Wu

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Abstract

The combination of difluoromethane (R32), 1,1,1,2-tetrafluoroethane (R134a), and trans-1,3,3,3-tetrafluoro-1-propene (R1234ze(E)) has been recently proposed as a potential substitute (R456A) for hydrofluorocarbon working fluids. For the design and process simulation of refrigeration systems using refrigerant mixtures, precise knowledge of their thermophysical properties, especially vapor-liquid equilibrium (VLE), is crucial. To extend the experimental temperature range, a liquid-recirculation analytical apparatus, classified as AnTLcirCapValVis, was redesigned and VLE data for the binary mixtures of R32 + R134a, R32 + R1234ze(E), R134a + R1234ze(E), and the ternary system of R32 + R134a + R1234ze(E) were measured over the temperature range from 263.15 to 323.15 K. The standard uncertainties of the temperature, pressure, and the mole fractions of liquid and vapor phases are estimated to be within 10 mK, 0.5 kPa, and 0.005, respectively. The Peng-Robinson-Stryjek-Vera-Version-2 (PRSV2) equation of state combined with the Wong-Sandler (WS) mixing rule and the nonrandom two-liquid activity coefficient model (NRTL) was used to fit the mixing parameters of the binary data from this work and prior studies and to predict the ternary VLE properties. In addition, Gibbs ensemble Monte Carlo simulations with an all-atom force field were carried out to determine VLE properties and to characterize the microscopic structure of these mixtures. Good agreement is found between experiments, correlations, and simulations, which attests to the predictive capabilities of the PRSV2 + WS + NRTL model and molecular simulations.

Original languageEnglish (US)
Pages (from-to)739-752
Number of pages14
JournalIndustrial and Engineering Chemistry Research
Volume60
Issue number1
DOIs
StatePublished - Jan 13 2021

Bibliographical note

Funding Information:
This work was primarily supported by the National Natural Science Foundation of China (No. 51976164). Part of the computer resources was provided by the Minnesota Supercomputing Institute. T.Y. acknowledges the generous financial support from the China Scholarship Council (CSC) Project No. 201906280454. J.I.S. acknowledges the generous support from the Industrial Partnership for Research in Interfacial & Materials Engineering at the University of Minnesota.

Publisher Copyright:
© 2020 American Chemical Society.

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