Thermodynamic modeling based on particle swarm optimization to predict phase equilibrium of binary systems containing ionic liquids

Vapor-liquid equilibrium data of binary mixtures containing imidazolium ionic liquids were correlated using the UNIQUAC activity coefficient model optimized with a particle swarm algorithm. Twenty eight binary systems taken from literature were selected for this study, and the new optimization algorithm was used to determine the binary interaction parameters of each system. The results given by the model have been compared with experimental data, and show that the optimized UNIQUAC model is a good model to correlate and predict the vapor-liquid equilibrium for this type of systems.