Isothermal (P, T, x, y) data have been measured for the binary system carbon dioxide + 2-propanol at temperatures from (293 to 323) K. The pressure range under investigation was between (0.68 and 8.6) MPa. The new experimental data are correlated with the Soave-Redlich-Kwong (SRK) equation of state coupled with the HVID mixing rules. A correlation of the HVID parameters with temperature is proposed by using all reliable published data and those of this study.
Isothermal (P, T, x, y) data have been measured for the binary system carbon dioxide + 1-propanol at temperatures from (293.15 to 353.15) K. The pressure range under investigation was between (0.61 and 12.64) MPa. The new experimental results are discussed and compared with available literature data. Measured vapor−liquid equilibria (VLE) data and literature data for the carbon dioxide + 1-propanol system were modeled with a general cubic equation of state (GEOS) using classical van der Waals (two-parameters conventional mixing rule, 2PCMR) mixing rules. A single set of interaction parameters, representing well the critical pressure maximum (CPM) and the temperature of the upper critical end point (UCEP), was used to calculate the global phase behavior in the binary mixture carbon dioxide + 1-propanol in a wide range of temperatures [(293.15 to 426.68) K]. The VLE data are satisfactorily predicted for engineering purposes.
Isothermal (P, T, x, y) data have been measured for the binary system carbon dioxide + 1-butanol at
temperatures from (293.15 to 324.15) K. The pressure range under investigation was between (0.52 and
10.09) MPa. The new experimental data are correlated with the Soave−Redlich−Kwong (SRK) equation
of state coupled with the Huron−Vidal infinite dilution (HVID) mixing rules. A linear correlation of the
HVID parameters with the inverse temperature is proposed by using only the data of this study. The
values of HVID parameters from the linear correlation were used to predict VLE at all temperatures for
which published data are available. The VLE data are reasonably well predicted for engineering purposes.
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