TY - JOUR
T1 - Local composition modelling of the thermodynamic properties of refrigerant and oil mixtures
AU - Martz, W. L.
AU - Burton, C. M.
AU - Jacobi, A. M.
N1 - Funding Information:
This work was partially supported through an ASHRAE Grant-in-Aid and a Proctor & Gamble Fellowship for the first author. Further support was provided by the Air Conditioning and Refrigeration Center (ACRC) of the University of Illinois, Department of Mechanical and Industrial Engineering. The assistance of Ms J. Pettinger and Mr M. Newman is also gratefully acknowledged.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 1996
Y1 - 1996
N2 - Six local composition models of the thermodynamic behaviour of mixtures are described. Using data from the literature and a non-linear regression analysis, a comparison of the predictive abilities of the models is undertaken for R12, R22, R134a and R125 with various oils. The Wilson and Heil equations provide the most consistent results, with the Heil equation providing a modest improvement over the Wilson model. Using a 95% confidence interval, the Heil equation predicted the behaviour of R12 with a paraffinic mineral oil to within 3.1%; its worst-case 2-σ error was 10.4% (R22 with a polyol ester oil), and its average 2-σ error for all of the mixtures was 6.2%. Using model parameters and error estimates from the regression analyses, pressure-temperature-concentration behaviour for these mixtures can be predicted for system design and simulation.
AB - Six local composition models of the thermodynamic behaviour of mixtures are described. Using data from the literature and a non-linear regression analysis, a comparison of the predictive abilities of the models is undertaken for R12, R22, R134a and R125 with various oils. The Wilson and Heil equations provide the most consistent results, with the Heil equation providing a modest improvement over the Wilson model. Using a 95% confidence interval, the Heil equation predicted the behaviour of R12 with a paraffinic mineral oil to within 3.1%; its worst-case 2-σ error was 10.4% (R22 with a polyol ester oil), and its average 2-σ error for all of the mixtures was 6.2%. Using model parameters and error estimates from the regression analyses, pressure-temperature-concentration behaviour for these mixtures can be predicted for system design and simulation.
KW - Refrigerant-oil mixtures
KW - Thermodynamic property modelling
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U2 - 10.1016/0140-7007(95)00063-1
DO - 10.1016/0140-7007(95)00063-1
M3 - Article
AN - SCOPUS:0029734560
SN - 0140-7007
VL - 19
SP - 25
EP - 33
JO - International Journal of Refrigeration
JF - International Journal of Refrigeration
IS - 1
ER -