Optimization of activity coefficient models to describe vapor-liquid equilibrium of (alcohol + water) mixtures using a particle swarm algorithm

摘要

A method to model the vapor-liquid phase based on a particle swarm algorithm is developed in this study. Two activity coefficient models (UNIQUAC and NRTL) were optimized with particle swarm optimization (PSO), and used to describe the isobaric vapor-liquid equilibrium of fifteen binary mixtures containing alcohol + water. The results were compared with the Levenberg-Marquardt algorithm, and show that the PSO algorithm is a good method to correlate and predict the vapor-liquid equilibrium of this type of system.