Melnikov Sergey M, Stein Matthias
Molecular Simulations and Design Group , Max-Planck-Institut für Dynamik komplexer technischer Systeme , Sandtorstrasse 1 , 39106 Magdeburg , Germany.
J Phys Chem B. 2018 Mar 15;122(10):2769-2778. doi: 10.1021/acs.jpcb.7b10322. Epub 2018 Feb 28.
CO sequestration from anthropogenic resources is a challenge to the design of environmental processes at a large scale. Reversible chemical absorption by amine-based solvents is one of the most efficient methods of CO removal. Molecular simulation techniques are very useful tools to investigate CO binding by aqueous alkanolamine molecules for further technological application. In the present work, we have performed detailed atomistic molecular dynamics simulations of aqueous solutions of three prototype amines: monoethanolamine (MEA) as a standard, 3-aminopropanol (MPA), 2-methylaminoethanol (MMEA), and 4-diethylamino-2-butanol (DEAB) as potential novel CO absorptive solvents. Solvent densities, radial distribution functions, cluster size distributions, hydrogen-bonding statistics, and diffusion coefficients for a full range of mixture compositions have been obtained. The solvent densities and diffusion coefficients from simulations are in good agreement with those in the experiment. In aqueous solution, MEA, MPA, and MMEA molecules prefer to be fully solvated by water molecules, whereas DEAB molecules tend to self-aggregate. In a range from 30/70-50/50 (w/w) alkanolamine/water mixtures, they form a bicontinuous phase (both alkanolamine and water are organized in two mutually percolating clusters). Among the studied aqueous alkanolamine solutions, the diffusion coefficients decrease in the following order MEA > MPA = MMEA > DEAB. With an increase of water content, the diffusion coefficients increase for all studied alkanolamines. The presented results are a first step for process-scale simulation and provide important qualitative and quantitative information for the design and engineering of efficient new CO removal processes.
从人为资源中捕获一氧化碳是大规模环境过程设计面临的一项挑战。基于胺的溶剂进行可逆化学吸收是去除一氧化碳最有效的方法之一。分子模拟技术是研究链烷醇胺水溶液与一氧化碳结合以用于进一步技术应用的非常有用的工具。在本工作中,我们对三种原型胺的水溶液进行了详细的原子分子动力学模拟:作为标准的单乙醇胺(MEA)、3-氨基丙醇(MPA)、2-甲基氨基乙醇(MMEA)以及作为潜在新型一氧化碳吸收溶剂的4-二乙氨基-2-丁醇(DEAB)。已获得了全范围混合组成的溶剂密度、径向分布函数、聚集体尺寸分布、氢键统计数据和扩散系数。模拟得到的溶剂密度和扩散系数与实验结果吻合良好。在水溶液中,MEA、MPA和MMEA分子倾向于被水分子完全溶剂化,而DEAB分子则倾向于自聚集。在30/70 - 50/50(w/w)的链烷醇胺/水混合物范围内,它们形成双连续相(链烷醇胺和水都组织在两个相互渗透的聚集体中)。在所研究的链烷醇胺水溶液中,扩散系数按MEA > MPA = MMEA > DEAB的顺序降低。随着水含量的增加,所有研究的链烷醇胺的扩散系数均增大。所呈现的结果是过程规模模拟的第一步,并为高效新型一氧化碳去除工艺的设计和工程提供了重要的定性和定量信息。