Comparative Assessment of CPA- and SAFT-type Equations of State for Vapor–liquid Equilibrium and Derivative Properties of Polar/non-Polar Binary Mixtures

In this work, we analyze the predictive performance of the CPA- and SAFT-type families and their polar extensions in capturing the effects of like-unlike interactions on vapor–liquid equilibria and thermophysical properties of mixtures containing polar compounds with non-polar partners. To elucidate the roles of the dipolar segment and binary interaction parameters in describing these properties, several complementary analyses were conducted. Based on these findings, a new parameterization strategy was introduced to reduce the dimensionality of the parameter estimation problem for polar equations of state while preserving predictive capability. In addition, a flexible SQLite-based database of curated thermophysical property data was developed and made available to facilitate future model development and validation.