表面粗糙度对富有机质页岩中二氧化碳吸附影响的分子模拟

Jingkai Cui , Junyao Bao , Shaofeng Ning , Bolun Li , Wei Deng , Xinguo Duan , Shiyuan Zhan
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摘要

研究了不同表面粗糙度的有机纳米孔对二氧化碳的吸附行为。纳米孔是由石墨狭缝孔壁的正弦波纹构成的。通过计算不同压力和粗糙度条件下二氧化碳的密度分布、吸附量和取向,阐明了表面粗糙度对有机纳米孔中二氧化碳吸附的影响。采用Langmuir-Freundlich吸附模型拟合了三种不同粗糙度条件下CO2吸附等温线。结果表明,表面粗糙度的增加导致CO2吸附量的增加,相对粗糙度从0%增加到12.92%,平均CO2吸附量增加0.003 mmol/m2。吸附层密度和单层最大吸附容量随粗糙度的增大而增大。此外,二氧化碳分子优先平行于吸附层内粗糙的有机表面,与光滑的石墨壁构型一致。所有的模拟、观察和计算都是通过大规范蒙特卡罗(GCMC)模拟进行的。这些发现提供了对表面粗糙度对CO2吸附的影响的见解,特别是在有机纳米孔中,这对碳捕获和地质封存应用具有重大意义。研究结果有助于优化高效、安全的地质CO2封存策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Molecular simulation of the impact of surface roughness on carbon dioxide adsorption in organic-rich shales

This study investigates the adsorption behavior of carbon dioxide in organic nanopores with different surface roughness. The nanopores are constructed by sinusoidally corrugating the graphite slit pore walls. By computing the density distributions, adsorption quantities and orientation of carbon dioxide under various pressure and roughness conditions, we elucidate the impacts of surface roughness on carbon dioxide adsorption in organic nanopores. The Langmuir-Freundlich adsorption model is utilized to fit the isotherms of CO2 adsorption under three different roughness conditions. the results show that increasing surface roughness led to the increase in the adsorption of carbon dioxide, as the relative roughness increased from 0% to 12.92%, the average CO2 adsorption capacity increased by 0.003 mmol/m2. Both the adsorbed layer density and monolayer maximum adsorption capacity increased concurrently with escalating roughness. Moreover, carbon dioxide molecules preferentially aligned parallel to the rough organic surface within the adsorption layer, consistent with the smooth graphitic wall configuration. All simulations, observations, and calculations were performed through grand canonical Monte Carlo (GCMC) simulations. These findings provide insights into the influence of surface roughness on CO2 adsorption, especially in organic nanopores, which has substantial implications for carbon capture and geological sequestration applications. The results could facilitate optimization of strategies for efficient, secure geological CO2 storage.

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