平朔煤泥性质分析及煤分子模型构建

Properties Analysis and Molecular Modelling of Pingshuo Coal Slime

  • 摘要: 煤的化学成分从根本上决定了其转化和利用途径。煤分子模型的建立与模拟可以降低实验成本和时间,提高研究效率。复杂的成煤植物和沉积环境导致煤化学成分的复杂性,因此准确构建能够真实反映煤物理化学性质的分子模型对开展煤炭清洁高效利用的研究至关重要。以山西平朔矿区煤泥为样本,通过13C核磁共振波谱、傅里叶变换红外光谱、X射线光电子能谱研究了煤中C、O、N元素的赋存形式,确定了各元素相对含量。结果表明,平朔煤泥中煤不存在芳香甲基,碳元素主要以单环、多环芳香碳形式存在,氧元素主要以酯基、羟基等形式存在,氮元素主要以吡啶型氮形式存在。根据煤质分析结果,构建了分子式为C136H150O18N2的平朔煤分子模型。13C 核磁共振波谱预测验证与密度验证结果表明,模型谱线与实测谱线吻合度较高,模型密度与煤实际密度仅相差0.019 g/cm3,说明模型具有较好的代表性。这项研究为深入理解煤的化学结构提供了重要依据,也为煤的高效清洁转化奠定了理论基础。

     

    Abstract: The conversion and utilization are fundamentally determined by the chemical composition of coal. The establishment and simulation of coal molecular model can reduce the experimental cost and experimental time, and improve the research efficiency. However, the chemical composition of coal exhibited significant complexity due to the complex coal−forming plants and depositional environments. Therefore, the accurate construction of coal molecular models, which can truly reflect the physical and chemical properties of coal, is essential for the research of clean and efficient utilization of coal. In this study, the coal slime from Pingshuo mining area in Shanxi Province was used as the research object. The relative contents and specific chemical states of carbon (C), oxygen (O), and nitrogen (N) were analyzed by 13C nuclear magnetic resonance (NMR) spectroscopy, Fourier transform infrared (FTIR) spectroscopy, and X−ray photoelectron spectroscopy (XPS). The results showed that Pingshuo coal slime does not contain any aromatic methyl groups. The carbon element mainly exists in the chemical form of mono− and polycyclic aromatic carbons. The oxygen element mainly exists in chemical forms such as ester group and hydroxyl group. The nitrogen element mainly exists in the chemical form of pyridine compounds. Based on the chemical analysis structure, the molecular model of Pingshuo coal slime was constructed. The molecular model of C136H150O18N2 was optimized by molecular simulation method, and the correctness of the model was verified by 13C NMR spectral line prediction verification and density verification. The 13C NMR spectrum prediction and density verification results showed that the model spectral line is in good agreement with the measured spectral line, and the difference between the model density and the actual density of coal is only 0.019 g/cm3, indicating that the model is well representative. This research provides a crucial molecular−level understanding of the coal's chemical architecture and establishes a robust theoretical foundation for developing efficient and clean coal conversion technologies.

     

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