An improved understanding
of the Non-Random Two Liquid model can
improve the correlation of vapor liquid equilibrium (VLE) phase behavior
beyond the trial-and-error approach often employed. This work provides
a rigorous, systematic evaluation of the model’s capabilities
to contribute unqualified, component-independent findings and recommendationsa
limitation of previous studies. First, evaluations of the model’s
isobaric and isothermal VLE prediction capabilities provide insight
into multiple factors, including the influence of the model’s
non-randomness parameter (0.20 and 0.47). Second, a new approach is
presented to improve VLE correlation of common pressure maximum azeotropic
behavior. It includes a method to unequivocally disqualify non-randomness
parameter values based on a single azeotropic measurement. The approach
further significantly simplifies the parameterization procedure by
incorporating a priori knowledge, including parameter temperature
dependence requirements and initial guesses therefor. The benefits
of the presented approach are demonstrated in a case study on 17 (alcohol
+ hydrocarbon) binary systems.