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Characterization of Macromolecular Structure and Molecular Dynamics Optimization of Gas Coal: A Case Study of Hongdunzi Coal.
- Source :
- Processes; Jan2025, Vol. 13 Issue 1, p275, 14p
- Publication Year :
- 2025
-
Abstract
- To investigate the molecular structure characteristics and chemical reaction mechanisms of gas coal from the Hong II coal mine of the Ningxia Hongdunzi Coal Industry, this study explores its elemental composition, structural features, and methods for constructing and optimizing molecular models. The basic properties of the coal were determined through proximate and elemental analyses. The carbon structure was characterized using <superscript>13</superscript>C-NMR nuclear magnetic resonance, the N and S chemical states were analyzed with XPS, and the distribution of hydroxyl, aliphatic hydrocarbons, aromatic rings, and oxygen-containing functional groups was characterized by FT-IR. Based on the analysis results, a molecular structure model of Hongdunzi gas coal was constructed with the molecular formula C<subscript>204</subscript>H<subscript>117</subscript>O<subscript>17</subscript>NS, and the calculated results of the model showed high consistency with the experimental spectra of <superscript>13</superscript>C-NMR. The macromolecular model of gas coal was constructed using the Materials Studio 2020 software, and its structure was optimized through geometric optimization and dynamic simulations. After optimization, the total energy of the model was significantly reduced from 8525.12 kcal·mol<superscript>−1</superscript> to 3966.16 kcal·mol<superscript>−1</superscript>, highlighting the enhanced stability of the coal molecular structure. This optimization indicates that torsional energy plays a dominant role in molecular stability, while van der Waals forces and electrostatic interactions were significantly improved during the optimization process. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22279717
- Volume :
- 13
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Processes
- Publication Type :
- Academic Journal
- Accession number :
- 182474466
- Full Text :
- https://doi.org/10.3390/pr13010275