Multivariate Statistical Evaluation of Ionic Liquids Features for CO2 Capture

被引：4
|
作者：
Grillo, Igor Barden [1 ]
Einloft, Sandra [1 ,2 ]
Seferin, Marcus [1 ,2 ]
机构：
[1] Pontifical Catholic Univ Rio Grande Sul PUCRS, Sch Chem, Porto Alegre, RS, Brazil
[2] Pontifical Catholic Univ Rio Grande Sul PUCRS, Postgrad Program Mat Engn & Technol, Porto Alegre, RS, Brazil
来源：
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13 | 2017年 / 114卷
关键词：
Carbon capture; Ionic liquids; Multivariate analysis;
D O I：
10.1016/j.egypro.2017.03.1151
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The main goal of this work is to verify the possibility of the improving the process variables in CO2 capture process using ionic liquids as sorbent, by changing the anions and/or cation type of the Ionic liquids. ANOVA models a PCA were performed for CO2 capture capacity, viscosity, melting degradation temperature and chemical information of the ionic liquids. The results shows that tunning of ionic liquids are statistically significant and the resultants insights could be used to predict new sorbents. (c) 2017 The Authors. Published by Elsevier Ltd.
引用
收藏
页码：86 / 94
页数：9
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