Optimization of High-Pressure Vapor-Liquid Equilibrium Modelling of Binary Mixtures (Supercritical Fluid plus Ionic Liquid) by Particle Swarm Algorithm

摘要

High-pressure vapor liquid equilibrium data of binary mixtures containing supercritical fluids and imidazolium ionic liquids were correlated using a thermodynamic model optimized with a particle swarm algorithm. The Pang-Robinson (PR) equation of state and the Wong-Sandler (WS) mixing rules including the van Laar (VL) model for the excess Gibbs free energy, were used as thermodynamic model. Forty six binary systems taken from literature were selected for this study, and the optimization algorithm was used to determine the binary interaction parameters of each system. The algorithm was development to minimize the difference between calculated and experimental bubble pressure. The results given by the model show that the proposed algorithm is a good tool to correlate and describe the vapor liquid equilibrium of this type of systems.