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

YAN Liwei; YU Yunsong; LI Yun; LU Hongfang; ZHANG Zaoxiao

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

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- Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption
- CIESC Journal Issue 5, Pages: 1169-1175(2010)
- 作者机构：
  
  1. 西安交通大学动力工程多相流国家重点实验室
  2. 西安交通大学能源与动力工程学院
- 作者简介：
- 基金信息：
- DOI：
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- Online First：05 May 2010，
  
  Published：05 May 2010
- 稿件说明：
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YAN Liwei, YU Yunsong, LI Yun, et al. Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption[J]. CIESC Journal, 2010, (5): 1169-1175.
DOI：

YAN Liwei, YU Yunsong, LI Yun, et al. Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption[J]. CIESC Journal, 2010, (5): 1169-1175. DOI：

摘要

针对采用吸收法捕集CO2的过程中存在着成分难以准确在线测量的问题，设计了工业化应用最广泛的乙醇胺(MEA)化学吸收过程的软测量系统。系统使用红外传感器，通过基于改进Powell鲁棒支持向量机(IP-RSVM)的方法对吸收溶液的离子组分分布进行了软测量，其结果与核磁共振（NMR）测量所得的数据符合较好，均方误差为3.1692×10-7，最大绝对误差绝对值为0.0010，最大相对误差为3.54%。研究结果表明，在CO2回收的软测量系统中，使用基于IP-RSVM的红外软测量具有良好应用前景。

Abstract

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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