A new approach to parameterizing the NRTL model for binary
liquid–liquid
equilibria (LLE) is presented. It allows for the incorporation of
a priori knowledge into the parameterization procedure rather than
using the “black box” approach often employed. The method
first converts the compositional Txx data to a set of unique binary
interaction parameters, Tττ data. Thereafter, the second
step improves the parameterization of frequently used temperature-dependent
parameters (TDPs) by reducing the traditional nonlinear regression
problem to simpler linear regression. This method is less susceptible
to poor initial guesses, finding local minima, and significantly reduces
computational requirements, with comparable/improved performance to
published parameters. A total of 29 binary systems, including upper
and/or lower critical solution temperatures, were evaluated using
the approach to provide generalized recommendations and understanding
of the TDP requirements for each system type. Inclusion of such information
and use of the approach will significantly simplify multicomponent
LLE model parameterization.