Suppr超能文献

新型[emim][DCA]和[emim][MS]离子液体用于膜接触器中二氧化碳温室气体分离的计算流体动力学比较

CFD comparison of novel [emim][DCA] and [emim][MS] ionic liquids for the separation of CO2 greenhouse gas in the membrane contactor.

作者信息

Pishnamazi Mahboubeh, Alsaab Hashem O, Al-Bahrani Mohammed

机构信息

Institute of Research and Development, Duy Tan University, Da Nang, Vietnam.

School of Medicine and Pharmacy, Duy Tan University, Da Nang, Vietnam.

出版信息

Sci Rep. 2025 Mar 17;15(1):9150. doi: 10.1038/s41598-025-90289-5.

Abstract

Global warming (resulted by the abnormal emission of CO) has recently been an important global subject of concern due to its detrimental effects on the human well-being. Therefore, developing novel and cost-effective procedure for mitigating the CO release into the atmosphere is of prime importance. Recently, the employment of ionic liquids (ILs) for increasing the removal proficiency of CO in membrane-based processes has been a hot research topic among scientists. The emergence of indisputable positive points such as eco-friendliness, low flammability and negligible volatility have made the ILs a promising alternative for benchmark amine solutions. In this paper, the authors have made their effort to propose a numerical model following to a computational fluid dynamics (CFD) simulation for estimating the separation percentage of CO pollutant using 1-ethyl-3-methylimidazolium dicyanamide ([emim][DCA]) and 1-ethyl-3-methylimidazolium methylsulfate ([emim][MS]) ILs in the hollow fiber membrane contactor (HFMC). Comparison of model outcomes with experimental-based results shows an appropriate agreement with absolute relative error (ARE) less than 5%.

摘要

全球变暖(由二氧化碳的异常排放导致)因其对人类福祉的有害影响,最近已成为一个重要的全球关注主题。因此,开发新颖且经济高效的方法以减少二氧化碳向大气中的排放至关重要。最近,在基于膜的过程中使用离子液体(ILs)来提高二氧化碳的去除效率已成为科学家们研究的热点话题。离子液体具有诸如环保、低易燃性和可忽略不计的挥发性等无可争议的优点,这使得它们成为基准胺溶液的一个有前途的替代品。在本文中,作者努力提出一个基于计算流体动力学(CFD)模拟的数值模型,用于估计在中空纤维膜接触器(HFMC)中使用1-乙基-3-甲基咪唑二氰胺([emim][DCA])和1-乙基-3-甲基咪唑甲基硫酸盐([emim][MS])离子液体时二氧化碳污染物的分离百分比。模型结果与基于实验的结果比较显示出良好的一致性,绝对相对误差(ARE)小于5%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/189c/11914607/0af10c1e7cfa/41598_2025_90289_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验