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Open AccessArticle

Theoretical Evaluation of Graphene Membrane Performance for Hydrogen Separation Using Molecular Dynamic Simulation

1
Faculty of Chemical Engineering, Urmia University of Technology, Urmia 57155-419, Iran
2
Institute on Membrane Technology of the Italian National Research Council (CNR-ITM), via P. Bucci 17/C, 87036 Rende (CS), Italy
*
Author to whom correspondence should be addressed.
Membranes 2019, 9(9), 110; https://doi.org/10.3390/membranes9090110
Received: 23 July 2019 / Revised: 13 August 2019 / Accepted: 20 August 2019 / Published: 27 August 2019
The main purposes of this study are to evaluate the performance of graphene membranes in the separation/purification of hydrogen from nitrogen from a theoretical point of view using the molecular dynamic (MD) simulation method, and to present details about molecular mechanisms of selective gas diffusion through nanoscale pores of graphene membranes at the simulated set conditions. On the other hand, permeance and perm-selectivity are two significant parameters of such a membrane that can be controlled by several variables such as pressure gradient, pore density, pore layer angles etc. Hence, in this work, the hydrogen and nitrogen permeating fluxes as well as the H2/N2 ideal perm-selectivity are investigated from a theoretical point of view in a two-layer nanoporous graphene (NPG) membrane through classical MD simulations, wherein the effects of pressure gradient, pore density, and pore angle on the NPG membrane performance are evaluated and discussed. Simulation outcomes suggest that hydrogen and nitrogen permeating fluxes increase as a consequence of an increment of pressure gradient across the membrane and pore density. View Full-Text
Keywords: graphene membrane; molecular dynamic simulation; hydrogen separation graphene membrane; molecular dynamic simulation; hydrogen separation
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MDPI and ACS Style

Nouri, M.; Ghasemzadeh, K.; Iulianelli, A. Theoretical Evaluation of Graphene Membrane Performance for Hydrogen Separation Using Molecular Dynamic Simulation. Membranes 2019, 9, 110.

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