摘要
Clarification of the molecular mechanism underlying the interaction of coal with CH4, CO2, and H2 O molecules is the basis for an in-depth understanding of the states of fluid in coal and fluid-induced coal swelling/contraction. In terms of instrumental analysis, molecular simulation technology based on molecular mechanics/dynamics and quantum chemistry is a powerful tool for revealing the relationship between the structure and properties of a substance and understanding the interaction mechanisms of physical-chemical systems. In this study, the giant canonical ensemble Monte Carlo(GCMC) and molecular dynamics(MD) methods were applied to investigate the adsorption behavior of a Yanzhou coal model(C222H185N3O17S5). We explored the adsorption amounts of CH4, CO2, and H2 O onto Yanzhou coal, the adsorption conformation, and the impact of oxygen-containing functional groups. Furthermore, we revealed the different adsorption mechanisms of the three substances using isosteric heat of adsorption and energy change data.(1) The adsorption isotherms of the mono-component CH4, CO2, and H2 O were consistent with the Langmuir model, and their adsorption amounts showed an order of CH4CO2〉CH4. In addition, at higher temperatures, the isosteric heat of adsorption decreased; pressure had no significant effect on the heat of adsorption.(3) CH4 molecules displayed an aggregated distribution in the pores, whereas CO2 molecules were cross arranged in pairs. Regarding H2 O molecules, under the influence of hydrogen bonds, the O atom pointed to surrounding H2 O molecules or the H atoms of coal molecules in a regular pattern. The intermolecular distances of the three substances were 0.421, 0.553, and 0.290 nm, respectively. The radial distribution function(RDF) analysis showed that H2 O molecules were arranged in the most compact fashion, forming a tight molecular layer.(4) H2 O molecules showed a significantly stratified distribution around oxygen-containing functional groups on the coal surface, and the b
Clarification of the molecular mechanism underlying the interaction of coal with CH4, CO2, and H2O molecules is the basis for an in-depth understanding of the states of fluid in coal and fluid-induced coal swelling/contraction. In terms of instrumental analysis, molecular simulation technology based on molecular mechanics/dynamics and quantum chemistry is a powerful tool for revealing the relationship between the structure and properties of a substance and understanding the interaction mechanisms of physical-chemical systems. In this study, the giant canonical ensemble Monte Carlo(GCMC) and molecular dynamics(MD) methods were applied to investigate the adsorption behavior of a Yanzhou coal model(C222H185N3O17S5). We explored the adsorption amounts of CH4, CO2, and H2O onto Yanzhou coal, the adsorption conformation, and the impact of oxygen-containing functional groups. Furthermore, we revealed the different adsorption mechanisms of the three substances using isosteric heat of adsorption and energy change data.(1) The adsorption isotherms of the mono-component CH4, CO2, and H2O were consistent with the Langmuir model, and their adsorption amounts showed an order of CH4<CO2<H2O. In addition, high temperatures were non-conducive to adsorption. When the three components of CH4/CO2/H2O were mixed(at a molar ratio of 1:1:1) for adsorption, only the adsorption curve of H2O was consistent with the Langmuir model.(2) The mean values of the isosteric heat of adsorption of CH4, CO2, and H2O were 22.54, 36.90, and 37.82 kJ/mol, respectively; that is, H2O>CO2>CH4. In addition, at higher temperatures, the isosteric heat of adsorption decreased; pressure had no significant effect on the heat of adsorption.(3) CH4 molecules displayed an aggregated distribution in the pores, whereas CO2 molecules were cross arranged in pairs. Regarding H2O molecules, under the influence of hydrogen bonds, the O atom pointed to surrounding H2O molecules or the H atoms of coal molecules in a regular pattern. The intermolecular distances of the thre
基金
supported by National Natural Science Foundation of China(Grant Nos.41072116,41102092,41302127,41372165)
Special Research Foundation for the Doctoral Program of Higher Education of China(Grant No.20091402110002)
Science Project of Taiyuan city(Grant No.120247-27)
outstanding funding innovative projects for the graduate students by Shanxi Province in 2010