Molecular insights into the performance of promoters for carbon dioxide hydrate

IF 2.7 4区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Jinxiang Liu , Yongqi Yuan , Sikai Wang , Jiaheng Wang , Shengli Liu
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Abstract

Hydrate-based CO2 storage is a cost-effective and environmentally friendly approach to reduce carbon emission, and the addition of hydrate promoters has shown a promising avenue for enhancing CO2 hydrate formation. In this work, the promotion mechanism and promotion performance of five different hydrate promoters (denoted as DIOX, CP, THF, THP, and CH) were investigated and compared by first-principles calculations and molecular dynamics simulations. The results show that the hydrate promoters prefer to singly occupy 51264 cages of the sII hydrate, and CO2 molecules can singly occupy 512 cage or multiply occupy 51264 cages. The cohesive energy density indicates that the optimum CO2 storage capacity can reach up to ∼28 wt%. The stabilization effects of hydrate promoters on the hydrate stability should follow the order of CP > CH > DIOX > THF ≈ THP. The hydrate promoters can increase the water-water interactions, and the molecular diffusivity shows that the dynamic stability of the hydrates is THP ≈ CH > CP > DIOX > THF. Further, the hydrate promoters can accelerate the hydrate formation kinetics, which reduce the induction time and increase the nucleation and growth process.

Abstract Image

从分子角度深入了解二氧化碳水合物促进剂的性能
以水合物为基础的二氧化碳封存是一种既经济又环保的减少碳排放的方法,而添加水合物促进剂则是促进二氧化碳水合物形成的一条很有前景的途径。本研究通过第一性原理计算和分子动力学模拟,对五种不同水合物促进剂(分别为 DIOX、CP、THF、THP 和 CH)的促进机理和促进性能进行了研究和比较。结果表明,水合促进剂更倾向于单个占据 sII 水合物的 51264 个笼子,二氧化碳分子可以单个占据 512 个笼子,也可以多个占据 51264 个笼子。内聚能密度表明,二氧化碳的最佳储存量可达 28 wt%。水合促进剂对水合物稳定性的稳定作用应遵循 CP > CH > DIOX > THF ≈ THP 的顺序。水合促进剂可以增加水与水之间的相互作用,分子扩散性表明水合物的动态稳定性为 THP ≈ CH > CP > DIOX > THF。此外,水合物促进剂还能加速水合物形成动力学,从而缩短诱导时间并增加成核和生长过程。
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来源期刊
Journal of molecular graphics & modelling
Journal of molecular graphics & modelling 生物-计算机:跨学科应用
CiteScore
5.50
自引率
6.90%
发文量
216
审稿时长
35 days
期刊介绍: The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design. As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.
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