Multivariate Statistical Evaluation of Ionic Liquids Features for CO 2 Capture

作     者：Igor Barden Grillo Sandra Einloft Marcus Seferin 

作者机构：School of Chemistry Pontifical Catholic University of Rio Grande do Sul –PUCRS Porto Alegre - RS -Brazil Post-Graduation Program In Material Engineering and Technology Pontifical Catholic University of Rio Grande do Sul –PUCRS Porto Alegre - RS -Brazil 

出 版 物：《Energy Procedia》 

年 卷 期：2017年第114卷

页      面：86-94页

主　　题：Carbon capture Ionic liquids Multivariate analysis 

摘      要：The main goal of this work is to verify the possibility of the improving the process variables in CO 2 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 CO 2 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.