Design of CO2 on-line Monitoring System for Boiler Flue Gas

Hong CHEN; Jinming WANG; Feng WANG; Zhiyong ZHANG; Jie WU

Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China

Research Article

Design of CO2 on-line Monitoring System for Boiler Flue Gas

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@INPROCEEDINGS{10.4108/eai.2-6-2023.2334600,
    author={Hong  CHEN and Jinming  WANG and Feng  WANG and Zhiyong  ZHANG and Jie  WU},
    title={Design of CO2 on-line Monitoring System for Boiler Flue Gas},
    proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China},
    publisher={EAI},
    proceedings_a={ICIDC},
    year={2023},
    month={8},
    keywords={co2 detection; spectral detection; on-line detection;},
    doi={10.4108/eai.2-6-2023.2334600}
}

Hong CHEN
Jinming WANG
Feng WANG
Zhiyong ZHANG
Jie WU
Year: 2023
Design of CO2 on-line Monitoring System for Boiler Flue Gas
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334600

Hong CHEN¹, Jinming WANG¹^,*, Feng WANG², Zhiyong ZHANG³, Jie WU³

1: Inner Mongolia University of Science and Technology
2: Inner Mongolia University of Technology
3: Inner Mongolia Electric Power Research Institute

*Contact email: wangjm2012@imust.edu.cn

Abstract

For air pollution, monitoring the CO2 concentration in boiler flue gas is an important issue. In this work an online CO2 monitoring system based on infrared and sensor technology is designed. The system takes S7-1500 PLC as the control unit. Temperature and humidity are collected by sensors as the flue gas environment. The sample gas enters the gas chamber after filtration. Near infrared spectroscopy was used to detect the CO2 concentration of the sample gas. Finally, the CO2 concentration in flue was obtained by conversion. The hardware and data processing methods of CO2 monitoring system are designed. Experiments show that the system can complete the automatic sampling and detection of CO2 gas.

Keywords: co2 detection; spectral detection; on-line detection;

Published: 2023-08-02
Publisher: EAI

: http://dx.doi.org/10.4108/eai.2-6-2023.2334600