Etude de l’influence de la variation de la température sur les paramètres d’interaction binaires du modèle NRTL en utilisant un Algorithme Génétique (AG)

Abstract

Liquid liquid equilibrium data are indispensable for the design of separation processes, particularly solvent extraction. Experimental measurement is sometimes complex and expensive for a large number of chemical systems; hence the need for reliable predictive models. Many thermodynamic models have been developed and are reported in the literature. Among these, the NRTL model (Non Random Two Liquids) demonstrated a great ability to predict reliable liquid liquid equilibrium data. However, its main disadvantage is that it requires molecular interaction parameters that are unavailable for certain temperatures. For this, the objective of this work is to study the effect of temperature on binary interaction parameters by approximating them to polynomial equations, which are then tested for five binary liquid liquid systems. The agreement between the experimental data and the obtained results proved the reliability of the NRTL model, the accuracy of the calculated binary interaction parameters, and the robustness of the genetic algorithm [AG].