Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption

被引：0
|
作者：
Yan, Liwei [1 ]
Yu, Yunsong [1 ]
Li, Yun [2 ]
Lu, Hongfang [1 ]
Zhang, Zaoxiao [1 ,2 ]
机构：
[1] State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710079, Shaanxi, China
[2] School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an 710079, Shaanxi, China
来源：
Huagong Xuebao/CIESC Journal | 2010年 / 61卷 / 05期
关键词：
Infrared detectors - Carbon dioxide - Nuclear magnetic resonance - Errors - Mean square error;
D O I：
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中图分类号：
学科分类号：
摘要：
In order to overcome the difficulty of online measuring the main components in the process of capturing CO2 from the flue gas of a power plant based on absorption method, a soft-sensing system was designed for the process of recovering CO2 by MEA chemical absorption. Based on the principle of improved Powell robust support vector machine (IP-RSVM), the soft measurement of ionic species distribution in the absorption solution was carried out by using infrared sensors, and the results agreed well with the data obtained by nuclear magnetic resonance (NMR) measurement. The mean square error was 3.1692 × 10-7, the maximum value of absolute error was 0.0010, and the maximum value of relative error was 3.54%. It showed that the infrared soft measurement based on IP-RSVM could be used in the soft-sensing system of capturing CO2 effectively.
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页码：1169 / 1175
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