Context <p>This study systematically investigated the molecular structure of Guizhou Longfeng anthracite to provide theoretical support for its efficient and clean utilization. Its two-dimensional planar and three-dimensional aggregated molecular model was constructed using proximate/ultimate analysis, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and solid-state <sup>13</sup>C nuclear magnetic resonance (<sup>13</sup>C-NMR), combined with ChemDraw and Material Studio software. The constructed molecular model was then validated through multi-dimensional comparison of experimental and simulation results, followed by detailed gas diffusion behaviour simulation. Results showed that the molecular formula of C<sub>180</sub>H<sub>106</sub>O<sub>10</sub>N<sub>2</sub>S was derived for LF coal, and its lowest-energy configuration of the aggregated molecular model was obtained via molecular mechanics and dynamics optimization in Material Studio. Simulated density and porosity deviated from experimental results by 1.45% and 1.77%, respectively; the relative errors of CO<sub>2</sub> and CH<sub>4</sub> saturation adsorption capacity were 2.42% and 4.17%, confirming the model’s rationality. Additionally, gas diffusion in the coal molecular model was substantially enhanced with increasing temperature, with a more pronounced enhancement effect for CH<sub>4</sub> than for CO<sub>2</sub>.</p> Methods <p>The 2D model was built with ChemDraw. The 3D model geometry optimization was performed with the Forcite module (Dreiding force field, QEq charges) in Material Studio. Annealing was performed under the NVT ensemble at temperatures ranging from 300 to 600&#xa0;K. An aggregated model was constructed using the Amorphous Cell module. Validation was performed by comparing simulated density, porosity (Connolly surface), and GCMC-simulated CO<sub>2</sub>/CH<sub>4</sub> adsorption with experimental data. Gas diffusion was simulated via molecular dynamics.</p>

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Integrated experimental‑computational characterization and multidimensional validation of an anthracite aggregate model for gas diffusion studies

  • Yingjie Yuan,
  • Mingyun Tang,
  • Dingzhu Gong,
  • Longgang Li,
  • Yanke Chen,
  • Ruiqing Zhang,
  • Shiqiang Gao

摘要

Context

This study systematically investigated the molecular structure of Guizhou Longfeng anthracite to provide theoretical support for its efficient and clean utilization. Its two-dimensional planar and three-dimensional aggregated molecular model was constructed using proximate/ultimate analysis, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), and solid-state 13C nuclear magnetic resonance (13C-NMR), combined with ChemDraw and Material Studio software. The constructed molecular model was then validated through multi-dimensional comparison of experimental and simulation results, followed by detailed gas diffusion behaviour simulation. Results showed that the molecular formula of C180H106O10N2S was derived for LF coal, and its lowest-energy configuration of the aggregated molecular model was obtained via molecular mechanics and dynamics optimization in Material Studio. Simulated density and porosity deviated from experimental results by 1.45% and 1.77%, respectively; the relative errors of CO2 and CH4 saturation adsorption capacity were 2.42% and 4.17%, confirming the model’s rationality. Additionally, gas diffusion in the coal molecular model was substantially enhanced with increasing temperature, with a more pronounced enhancement effect for CH4 than for CO2.

Methods

The 2D model was built with ChemDraw. The 3D model geometry optimization was performed with the Forcite module (Dreiding force field, QEq charges) in Material Studio. Annealing was performed under the NVT ensemble at temperatures ranging from 300 to 600 K. An aggregated model was constructed using the Amorphous Cell module. Validation was performed by comparing simulated density, porosity (Connolly surface), and GCMC-simulated CO2/CH4 adsorption with experimental data. Gas diffusion was simulated via molecular dynamics.