LAPSE:2023.0108v1
Published Article
LAPSE:2023.0108v1
Molecular Model Construction and Optimization Study of Gas Coal in the Huainan Mining Area
Lina Qu, Long Liu, Jinhao Chen, Zhenzhen Wang
February 17, 2023
Abstract
To construct the macromolecular model of gas coal in the Huainan mining area, 13C nuclear magnetic resonance spectroscopy (13C-NMR), X-ray diffraction (XRD), and X-ray photoelectron spectroscopy (XPS) tests were used to analyze the microstructure characteristics of coal including the aromatic ring type, the linkage mode, and the chemical bonding composition. The model was simulated and optimized by molecular mechanics (MM) and molecular dynamics (MD). The experimental results showed that the coal macromolecular formula in the Huainan mine was expressed as C181H150O9N3. The aromatic ring was dominated by anthracene and phenanthrene. Aliphatic carbon mainly existed in the form of methylene and methine. The oxygen atoms existed in the form of ether−oxygen bonds. The ratio of pyridine nitrogen to pyrrolic nitrogen was 2:1. The molecular simulation results showed the π−π interaction between the aromatic lamellae within the molecule. The van der Waals energy was the major factor of coal molecular structure stability and energy change. The results of the calculated 13C-NMR carbon spectrum and density simulation agreed well with the experimental results. The study provides a scientific and reasonable method for coal macromolecular model prediction and theoretical support for coal spontaneous combustion prevention technology.
Keywords
gas coal, molecular modeling, quantum chemistry, structure optimization
Suggested Citation
Qu L, Liu L, Chen J, Wang Z. Molecular Model Construction and Optimization Study of Gas Coal in the Huainan Mining Area. (2023). LAPSE:2023.0108v1
Author Affiliations
Qu L: School of Energy & Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
Liu L: School of Energy & Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
Chen J: School of Energy & Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
Wang Z: School of Energy & Environment Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
Journal Name
Processes
Volume
11
Issue
1
First Page
73
Year
2022
Publication Date
2022-12-28
ISSN
2227-9717
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Original Submission
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PII: pr11010073, Publication Type: Journal Article
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LAPSE:2023.0108v1
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https://doi.org/10.3390/pr11010073
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