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

Liwei Yan; Yunsong Yu; Yun Li; Hongfang Lu; Zaoxiao Zhang

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

Liwei Yan
, Yunsong Yu
, Yun Li
, Hongfang Lu
, Zaoxiao Zhang

School of Chemical Engineering and Technology

Xi'an Jiaotong University

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	1169-1175
Number of pages	7
Journal	Huagong Xuebao/Journal of Chemical Industry and Engineering (China)
Volume	61
Issue number	5
State	Published - May 2010

Keywords

Carbon dioxide
Improved Powell robust support vector machine
Small sample size
Soft-sensing

Cite this

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title = "Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption",

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.",

keywords = "Carbon dioxide, Improved Powell robust support vector machine, Small sample size, Soft-sensing",

author = "Liwei Yan and Yunsong Yu and Yun Li and Hongfang Lu and Zaoxiao Zhang",

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TY - JOUR

T1 - Soft-sensing study of ion concentration in process of carbon dioxide capture by absorption

AU - Yan, Liwei

AU - Yu, Yunsong

AU - Li, Yun

AU - Lu, Hongfang

AU - Zhang, Zaoxiao

PY - 2010/5

Y1 - 2010/5

N2 - 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.

AB - 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.

KW - Carbon dioxide

KW - Improved Powell robust support vector machine

KW - Small sample size

KW - Soft-sensing

UR - https://www.scopus.com/pages/publications/77953280694

M3 - 文章

AN - SCOPUS:77953280694

SN - 0438-1157

VL - 61

SP - 1169

EP - 1175

JO - Huagong Xuebao/Journal of Chemical Industry and Engineering (China)

JF - Huagong Xuebao/Journal of Chemical Industry and Engineering (China)

IS - 5

ER -

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

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Keywords

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