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Adsorption of CH4 and CH4/CO2 mixtures in carbon nanotubes and disordered carbons: a molecular simulation study

机译:碳纳米管和无序碳中CH4和CH4 / CO2混合物的吸附:分子模拟研究

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摘要

We report a comparison of the adsorption of CH4 and CO2/CH4 mixtures of different composition in three different types of nanoporous carbons including carbon nanotubes, and activated carbon fibre (ACF-15) and silicon carbide derived carbon (SiC-DC) having distinctly different disordered structures, using Monte Carlo simulation. CO2 is represented as a linear molecule, and both the united-atom and full-atom models are investigated for CH4. It is found that the united-atom model of CH4 overestimates the adsorption of CH4 in all these adsorbents compared to the 5-site model, as a consequence of the enhanced 1-site CH4-adsorbent potential energy. Moreover, the selectivities of the nanoporous carbons for CO2 relative to CH4 calculated using the 1-site CH4 model are underestimated compared to those from the 5-site model, at pressures up to 3.0 MPa. However, differences in the structural disorder of porous carbon models have little impact on CO2 selectivity. Our simulations reveal that the selectivity of an adsorbent for a particular species is strongly dependant on adsorbate-adsorbate interaction effects, comprising the adsorbate-adsorbate potential interactions and an adsorbate sieving effect. As a balance between the confinement and adsorbate-adsorbate effects, it is found that increasing the concentration of CO2 in the gas phase increases the selectivity of (10, 10) CNT dramatically, while having negligible impact on the selectivities in amorphous carbons. Further, it is shown that increasing the temperature reduces the performance of all the carbons in separating CO2, and that an isolated (7,7) CNT has the best performance for CO2/CH4 separation in comparison to the disordered nanoporous carbons investigated. (C) 2014 Elsevier Ltd. All rights reserved.
机译:我们报告了不同组成的CH4和CO2 / CH4混合物在三种不同类型的纳米多孔碳(包括碳纳米管)和活性炭纤维(ACF-15)和碳化硅衍生碳(SiC-DC)上的吸附比较。无序结构,使用蒙特卡洛模拟。 CO2表示为线性分子,并且研究了CH4的统一原子模型和全原子模型。结果发现,与5-位模型相比,CH4的统一原子模型高估了所有这些吸附剂中CH4的吸附,这是由于提高了1-位CH4吸附剂的势能。此外,在压力高达3.0 MPa的情况下,与使用5位模型的模型相比,使用1位CH4模型计算的相对于CH4的CO2纳米孔碳的选择性低估了。但是,多孔碳模型的结构无序性差异对CO2选择性影响不大。我们的模拟表明,吸附剂对特定物种的选择性在很大程度上取决于吸附物-吸附物的相互作用效应,包括吸附物-吸附物的潜在相互作用和吸附物筛分效应。作为限制和吸附物-吸附物作用之间的平衡,发现增加气相中CO 2的浓度可显着增加(10,10)CNT的选择性,同时对无定形碳中的选择性影响可忽略不计。此外,已表明,升高温度降低了所有碳在分离CO2中的性能,并且与所研究的无序纳米多孔碳相比,分离的(7,7)CNT在CO2 / CH4分离方面具有最佳性能。 (C)2014 Elsevier Ltd.保留所有权利。

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