| Abstract |
An accurate understanding of the competitive adsorption of CH4-CO2 binary mixtures in nano-confined systems is critical for engineering CO2 storage in shale gas reservoirs. Due to difficulties in making reliable experimental observations in nano-scale, atomistic simulations (ASs), such as the Grand Canonical Monte Carlo (GCMC) method, provide a viable approach to studying the adsorption behavior of confined fluids. ASs are, however, limited in the size of the compositional domain due to the high computational cost. This work proposes a framework that combines AS and the lattice Boltzmann (LB) method to bridge the physics of confined fluids across scales. The Peng–Robinson equation of state (PR-EoS) produces fugacity coefficients, which serve as input for conducting multi-component GCMC simulations. These GCMC simulations explore the competitive adsorption behavior of CH4-CO2 in nano-slits at various composition, pressure, and channel-width conditions. Both components generate adsorption layers with high densities near the walls with CO2 preferentially adsorbing compared to CH4 on the organic walls of carbon sheets. At the mesoscale, a pseudopotential model represents the intermolecular forces in multi-component, multiple-relaxation-time LB simulations. The LB simulations are in good agreement with the GCMC results, allowing us to obtain values for tunable LB parameters. We then extend the use of LB to simulate adsorption behavior in complex networks with nano-sized channels. The phase behavior and fluid properties in the complex geometries of nano-channels differ from nano-slits and bulk systems. The bridging of physics from GCMC (microscale) to LB (mesoscale) via the macroscale PR-EoS connects the adsorption behavior of binary systems across scales. |
| Authors |
Lingfu Liu   , Yulong Zhao , Mingyao Luo , Liehui Zhang , Saman A. Aryana
|
| Journal Info |
Elsevier BV | Fuel , vol: 354
, pages: 129310 - 129310
|
| Publication Date |
12/1/2023 |
| ISSN |
0016-2361 |
Type |
article |
| Open Access |
closed
|
| DOI |
https://doi.org/10.1016/j.fuel.2023.129310 |
| Keywords |
Binary Fluid Systems (Score: 0.542155) , Immersed Boundary Method (Score: 0.529209) , CFD Modeling (Score: 0.526595) , Lattice Boltzmann Method (Score: 0.526287) , Pore-scale Modeling (Score: 0.512143)
|
