Prediction of critical temperature,critical pressure and acentric factor of some ionic liquids using Patel-Teja equation of state based on genetic algorithm

Critical properties and acentric factor (ω) of 31 ionic liquids (ILs) were obtained by using vapor-liquid equilibrium data of solvent+IL consisting of P-T and P-x experimental data, based on three-parameter Patel-Teja equation of state and genetic algorithm. Optimized P _c , T _c and ω of ILs with Peng-Robinson equation of state (PR EoS) were used to model the behavior of phase equilibria of solvent+IL. Due to lack of experimental data for optimized properties, the validation was done by comparing them to the results in the literature. In each comparison the average absolute percent deviation (AAPD) for optimized properties was based on P-T experimental data, with PR EoS was minimum. For more confidence in the correctness of optimized properties, the behavior of phase equilibria of two new mixtures (i.e., water+emimDMP and methanol+emimDMP), the density and vapor pressure of some pure ILs were predicted by PR EoS, which the prediction of this EoS was satisfactory.