Single and binary surface diffusion permeation through zeolite membranes using new Maxwell-Stefan factors for Dubinin-type isotherms and occupancy-dependent kinetics
authors Cardoso, SP; Azenha, IS; Portugal, I; Lin, Z; Rodrigues, AE; Silva, CM
nationality International
journal SEPARATION AND PURIFICATION TECHNOLOGY
author keywords Dubinin-type isotherms; Maxwell-Stefan thermodynamic factors; Membrane separation; Modeling; Surface diffusion; Zeolite
keywords ADSORPTION-ISOTHERM; MOLECULAR SIMULATIONS; MICROPOROUS MEMBRANES; H-2/CO2 SEPARATION; ASTAKHOV EQUATION; ACTIVATED CARBON; CO2 SEPARATION; LIGHT ALKANES; HIGH-PRESSURE; MODEL
abstract The development of accurate mass transfer models is essential to describe and, most importantly, to predict the dynamic behavior of separation and reaction processes. In this work, the Maxwell-Stefan (MS) thermodynamic factors for Dubinin-Astalchov (DA) and Dubinin-Radushkevich (DR) isotherms are derived for the first time, with the objective to model the permeation of pure and mixed gases through zeolite membranes, which implies reliable kinetic and equilibrium data/equations. The new MS expressions are validated using equilibrium and permeation data for (methane, ethane)/silicalite-1 systems according to the following procedure: (i) the best modeling approaches for single DA and DR isotherms are determined; (ii) the binary DA and DR isotherms are then predicted from pure gas data; (iii) the influence of surface loading on the diffusivity of permeating species is carefully assessed; (iv) the diffusion parameters of each gas are obtained from unary permeation data; (v) the MS counter-sorption diffusivities are then predicted using the Vignes correlation; finally (vi) the separation of methane/ethane mixtures in the silicalite-1 membrane is totally predicted using the new MS thermodynamic factors combined with the binary isotherms. The results achieved for the permeation of pure methane, pure ethane, and methane/ethane mixtures reveal that the new MS factors are able to correlate data of single gases and accurately predict binary permeation through silicalite-1 membrane, particularly if DA is selected. The calculated root mean square deviations are only 8.75 x 10(-3) mol m(-2) s(-1) in the first case and 1.55 x 10(-3) mol m(-2) s(-1) for prediction. (C) 2017 Elsevier B.V. All rights reserved.
publisher ELSEVIER SCIENCE BV
issn 1383-5866
isbn 1873-3794
year published 2017
volume 182
beginning page 207
ending page 218
digital object identifier (doi) 10.1016/j.seppur.2017.03.036
web of science category Engineering, Chemical
subject category Engineering
unique article identifier WOS:000401393700024
  ciceco authors
  impact metrics
journal analysis (jcr 2017):
journal impact factor 3.927
5 year journal impact factor 4.202
category normalized journal impact factor percentile 84.307
dimensions (citation analysis):
altmetrics (social interaction):



 


Apoio

1suponsers_list_ciceco.jpg