化学计量学
拉曼光谱
遗传算法
光谱学
过程(计算)
过程分析技术
分析化学(期刊)
化学
工艺工程
计算机科学
生物系统
工程类
环境化学
色谱法
物理
化学工程
生物过程
操作系统
生物
进化生物学
光学
量子力学
作者
M.H. Wathsala N. Jinadasa,Klaus-J. Jens,Lars Erik Øi,Maths Halstensen
出处
期刊:Energy Procedia
[Elsevier BV]
日期:2017-07-01
卷期号:114: 1179-1194
被引量:15
标识
DOI:10.1016/j.egypro.2017.03.1282
摘要
A laboratory CO2 capture rig at USN was used as a demonstration plant to show the feasibility of Raman spectroscopy for online monitoring of speciation in CO2 capture process. The spectroscopy was integrated to lean and rich amine streams and experiments were carried out in dynamic and steady state conditions. Multivariate models were used to predict the speciation with time. Predicted CO2 and MEA concentrations were compared with offline analysis and the ion speciations were compared with a thermodynamic model. Results indicated that the Raman spectroscopy together with chemometrics based approach is an effective tool for online monitoring of speciation.
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