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Adsorption and separation of CO_2/CH_4 mixtures using nanoporous adsorbents by molecular simulation

机译:纳米孔吸附剂吸附和分离CO_2 / CH_4混合物的分子模拟

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摘要

A grand canonical Monte Carlo-simulation (GCMC) study is presented focussing on the adsorption of CO_2/CH_4 mixtures in different nanopore models, including pristine mesoporous carbons, carbon foams, carbon nanotubes (CNTs), and nanopore models modified with hydrophilic carboxylic groups. We also report and discuss the selectivity of the different adsorbent surfaces under a wide range of temperature and pressure. Our results show that foam structures have the highest adsorption capacity of all the pristine structures studied because of its special architecture. The selectivity markedly enhanced after modification, especially at low pressures, and modified CNTs are found to have the highest selectivity among all the models tested. The effect of temperature and pressure is evaluated and the change in the selectivity trends of modified nanopore models are in contrast to that of the pristine models. The results suggest that the separation performance in carbon nanopores is greatly affected by the nature of the architecture and the heterogeneity of the materials. These findings could be beneficial in conventional pressure swing adsorption processes and the nanoporous structures could be used as parts of mixed polymer membranes. The results of this work present some guidelines for the designing nanoporous structures in order to achieve optimal separation of CO_2/CH_4 mixtures.
机译:提出了一个大的经典蒙特卡罗模拟(GCMC)研究,重点研究了在不同的纳米孔模型中吸附CO_2 / CH_4混合物,包括原始的介孔碳,碳泡沫,碳纳米管(CNT)和被亲水性羧基改性的纳米孔模型。我们还将报告和讨论在宽温度和压力范围内不同吸附剂表面的选择性。我们的结果表明,泡沫结构由于其特殊的结构而在所有原始结构中具有最高的吸附能力。改性后,尤其是在低压下,选择性显着提高,发现改性碳纳米管在所有测试模型中具有最高选择性。评价了温度和压力的影响,并且与原始模型相反,修饰的纳米孔模型的选择性趋势发生了变化。结果表明,碳纳米孔的分离性能受到结构性质和材料异质性的极大影响。这些发现在常规变压吸附过程中可能是有益的,并且纳米孔结构可以用作混合聚合物膜的一部分。这项工作的结果为设计纳米多孔结构提供了一些指导,以实现CO_2 / CH_4混合物的最佳分离。

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