Simplified Approach to Understanding, Evaluating, and Parameterizing the NRTL Model for the Description of Binary VLE: Tττ-VLE Approach

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