The CH₄/CO₂ Gas Mixture Separation Using the Graphene, SiC, and BN Nanochannels: A Comprehensive Computational...

Area of Science:

• Materials Science
• Computational Chemistry
• Nanotechnology

Background:

• Efficient separation of methane (CH4) and carbon dioxide (CO2) is crucial for natural gas purification and carbon capture.
• Two-dimensional (2D) materials offer unique properties for nanoscale gas separation membranes.

Purpose of the Study:

• To computationally investigate the CH4/CO2 separation performance of graphene, SiC, and BN nanochannels.
• To evaluate the influence of material properties on gas adsorption, permeation, and selectivity.

Main Methods:

• Molecular dynamics (MD) simulations were performed to model gas transport and interactions within nanochannels.
• Simulations analyzed adsorption dynamics, permeation rates, diffusion coefficients, and interaction energies.

Main Results:

• Graphene showed high CH4 permeability but limited CO2 selectivity.
• SiC exhibited moderate permeability with enhanced CO2 selectivity.
• BN demonstrated excellent CO2 impermeability, acting as a molecular sieve.

Conclusions:

• Material choice significantly impacts CH4/CO2 separation efficiency, with BN excelling as a barrier and graphene for CH4 transport.
• Nanoscale structural control and surface engineering are key for optimizing gas separation membranes.
• Findings support the design of hybrid nanochannel systems for energy-efficient gas separation, carbon capture, and industrial applications.