Thermal Conductivity of Binary Mixtures of 1,1,1,2-Tetrafluoroethane(R-134a), 2,3,3,3-Tetrafluoropropene (R-1234yf), and trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants

Published

July 28, 2022

Author(s)

Aaron Rowane, Ian Bell, Marcia L. Huber, Richard A. Perkins

Abstract

A total of 2160 thermal conductivity data points, measured using a transient hot-wire instrument, are reported for binary mixtures of R-134a, R-1234yf, and R-1234ze(E) refrigerants from 200 to 340 K to pressures of 12 MPa for mixtures containing R-1234yf and to 50 MPa for R-134a/1234ze(E) mixtures. Data are reported at compositions of approximately (0.33/0.67) mole fraction and (0.67/0.33) mole fraction for each binary mixture investigated. The estimated relative expanded uncertainty of the thermal conductivity measurements is less than 2%. The data are used to refit binary interaction parameters for the Extended Corresponding States (ECS) model implemented in REFPROP (version 10.0). Additionally, the data in this study are used to assess the performance of a generalized entropy scaling model for refrigerants. Finally, the strengths and weaknesses of the ECS and entropy scaling models are compared.

Citation

Industrial and Engineering Chemistry Research

Volume

61

Issue

31

Pub Type

Journals

Download Paper

https://doi.org/10.1021/acs.iecr.2c01924

Local Download

Keywords

Entropy, Liquids, Mixtures, Thermal conductivity, Thermodynamic modeling

Citation

Rowane, A. , Bell, I. , Huber, M. and Perkins, R. (2022), Thermal Conductivity of Binary Mixtures of 1,1,1,2-Tetrafluoroethane(R-134a), 2,3,3,3-Tetrafluoropropene (R-1234yf), and trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants, Industrial and Engineering Chemistry Research, [online], https://doi.org/10.1021/acs.iecr.2c01924, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934835 (Accessed October 20, 2025)