Parameter Estimation in the Pervaporation Process for the Recovery of Aromas

Abstract

Pervaporation is a membrane separation process that has been recently used for the concentration of aromas. However, few studies present modeling and simulation methodologies. Among these works that approach the modeling, the Arrhenius equation parameters are commonly estimated using linear regression. Within this context, the aim of this work was the study of the non-linear parameter estimation of the hydrophobic pervaporation process for aromatic recovering of multicomponent aqueous mixtures. To perform the parameter estimation experimental data from literature was used corresponding to seven aromatics compounds identified in the pervaporation process of brown crab boiling juice. The model was implemented and solved in the GAMS platform. The model fit to the experimental data was satisfactory. A parametric sensitivity analysis has confirmed the importance of correctly determining the values of the parameters.