Prediction of gas permeability through polyether sulfone mixed matrix membranes containing zeolite nanoparticles using predictive models and compared with experimental results
Paper ID : 1230-MST2015-FULL
Authors:
1Ali Izadiar, 2mostafa moraveji *
1Department of Chemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Hafez Ave., P.O. Box 15875-4413, Tehran, Iran.
2Faculty member
Abstract:
Membrane unit can be considered as the heart of the process in separation processes. Mixed matrix membrane (MMM) are a type of polymeric membranes that filler particles are added to increase the separation efficiency. MMM are more economic than ceramic ones and have higher heat resistance than polymer ones. MMM are used to increase efficiency and eliminate the problems of polymeric membranes in various separation processes and are also used to increase the mechanical and chemical resistance of polymeric membranes. Various mathematical models have been developed to predict the performance of mixed matrix membranes considering different parameters. In this study our purpose was to evaluate results of predictive models in prediction of CO2, O2 and N2 permeability in polyether sulfone mixed matrix membranes containing 23% of zeolite nanoparticles in different operating conditions (temperature and pressure). Finally, the results of predictive models were compared with experimental results and then predictive models were modified by using the impact of blocked pores and hardening of the polymer chains. The effect of temperature and pressure on the mixed matrix membranes permeability and selectivity was evaluated also.
Keywords:
mixed matrix membrane , polyether sulfone , predictive models , permeability , gas separation.
Status : Paper Accepted (Poster Presentation)