Context <p>High carbon emissions have become a major problem perplexing human society, and the use of shale for CO<sub>2</sub> storage has a broad application prospect and significance. In this paper, a SiO<sub>2</sub>- Al<sub>2</sub>O<sub>3</sub> heterostructure model representing clay shale is established, and the adsorption mechanisms of CO<sub>2</sub> in clay shale are studied systematically by means of grand canonical Monte Carlo (GCMC), molecular dynamics (MD) and density functional theory (DFT). The findings indicate that the system's equilibrium shifts toward adsorption as pressure increases, enhancing gas uptake. Conversely, rising temperature favors the desorption equilibrium, thereby reducing the overall adsorption capacity. Higher water content reduces CO<sub>2</sub> adsorption capacity in hydrous SiO<sub>2</sub>-Al<sub>2</sub>O<sub>3</sub> nanopores. For every 5 wt% increment in water content, the CO<sub>2</sub> adsorption amount decreases by approximately 18.6%. The density profiles show that the interaction between H<sub>2</sub>O and adsorption sites on the shale surface is stronger than that of CO<sub>2</sub>. The radial distribution functions indicate the difference of CO<sub>2</sub> distribution between SiO<sub>2</sub> region and Al<sub>2</sub>O<sub>3</sub> region and reveal the effect of water on Al<sub>2</sub>O<sub>3</sub> region is greater than that of SiO<sub>2</sub> region. This study has an in-depth exploration of the adsorption rule and migration mechanism of CO<sub>2</sub> in clay shale, which may contribute preliminary theoretical insights for optimizing CO<sub>2</sub> adsorption and storage.</p> Method <p>The simulation software employed in this study is Materials Studio, and the associated force field utilized is COMPASS III. The adsorption configurations are obtained from the Sorption module and molecular dynamics simulations are performed on it by using the Forcite module with the NVT ensemble. Based on the DFT, molecular optimization and performance metrics analysis are all calculated using the DMol<sup>3</sup> module.</p>

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Competitive adsorption mechanisms of CO2 in hydrous silica-alumina clay shale nanopores: a comprehensive exploration

  • Zhichao Zhang,
  • Liehui Zhang,
  • Yulong Zhao,
  • Peiming Bian,
  • Xin Chen

摘要

Context

High carbon emissions have become a major problem perplexing human society, and the use of shale for CO2 storage has a broad application prospect and significance. In this paper, a SiO2- Al2O3 heterostructure model representing clay shale is established, and the adsorption mechanisms of CO2 in clay shale are studied systematically by means of grand canonical Monte Carlo (GCMC), molecular dynamics (MD) and density functional theory (DFT). The findings indicate that the system's equilibrium shifts toward adsorption as pressure increases, enhancing gas uptake. Conversely, rising temperature favors the desorption equilibrium, thereby reducing the overall adsorption capacity. Higher water content reduces CO2 adsorption capacity in hydrous SiO2-Al2O3 nanopores. For every 5 wt% increment in water content, the CO2 adsorption amount decreases by approximately 18.6%. The density profiles show that the interaction between H2O and adsorption sites on the shale surface is stronger than that of CO2. The radial distribution functions indicate the difference of CO2 distribution between SiO2 region and Al2O3 region and reveal the effect of water on Al2O3 region is greater than that of SiO2 region. This study has an in-depth exploration of the adsorption rule and migration mechanism of CO2 in clay shale, which may contribute preliminary theoretical insights for optimizing CO2 adsorption and storage.

Method

The simulation software employed in this study is Materials Studio, and the associated force field utilized is COMPASS III. The adsorption configurations are obtained from the Sorption module and molecular dynamics simulations are performed on it by using the Forcite module with the NVT ensemble. Based on the DFT, molecular optimization and performance metrics analysis are all calculated using the DMol3 module.