Development of an online CO<sub>2</sub> monitoring system for flue gas emission sources

CAI Wei; CHEN Youxiang; WU Min; XIONG Wu; PENG Ge; ZOU Wei; LENG Jianxiong

doi:10.13205/j.hjgc.202609023

Volume 44 Issue 9

Sep. 2026

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Article Navigation > ENVIRONMENTAL ENGINEERING > 2026 > 44(9): 221-227

CAI Wei, CHEN Youxiang, WU Min, XIONG Wu, PENG Ge, ZOU Wei, LENG Jianxiong. Development of an online CO2 monitoring system for flue gas emission sources[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(9): 221-227. doi: 10.13205/j.hjgc.202609023

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CAI Wei, CHEN Youxiang, WU Min, XIONG Wu, PENG Ge, ZOU Wei, LENG Jianxiong. Development of an online CO₂ monitoring system for flue gas emission sources[J]. ENVIRONMENTAL ENGINEERING , 2026, 44(9): 221-227. doi: 10.13205/j.hjgc.202609023

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Development of an online CO₂ monitoring system for flue gas emission sources

doi: 10.13205/j.hjgc.202609023

1. Guoneng Fengcheng Power Generation Co., Ltd., Fengcheng 331100, China;
2. School of Information Engineering, Nanchang University, Nanchang 330031, China;
3. Jiangxi Yishan Environmental Protection Co., Ltd., Nanchang 330072, China

Received Date: 2025-09-12
Available Online: 2026-11-05

Abstract

Abstract

Current methods for detecting CO₂ concentration in flue gas pollution sources rely heavily on manual statistics， which leads to significant errors and poor real-time performance. To address these issues， this paper proposed a CO₂ monitoring method based on dual-channel infrared differential spectroscopy， and developed an online CO₂ concentration monitoring system. A 10-cm-long direct-type circular gas cell was designed and fabricated， guided by Zemax optical path simulation. A signal detection hardware and software system was developed， featuring a Cortex-M3 core microcontroller and the FreeRTOS real-time operating system， enabling online monitoring of CO₂ concentrations in flue gas pollution sources. Experimental results demonstrated that within the volume fraction range of 0% to 20%， the indicated value error reached 0.78% of full scale. The 24-hour zero drift and span drift were -0.15% and -0.9%， respectively， and the system response time was as low as 27 seconds. This monitoring system offers high accuracy， strong stability， and fast response， providing reliable data support for online monitoring of flue gas pollution sources.
- CO₂ sensor,
- dual-channel differential detection,
- non-dispersive infrared,
- online monitoring,
- flue gas pollution sources

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References

[1]	WANG S，ZHOU B，QU J B，et al. Air pollution impact of thermal power industry in Shandong province under carbon peak and carbon neutrality scenario［J］. China Environmental Science，2024，44（11）:5990-5998. 王圣，周斌，屈加豹，等. 双碳情景下山东省火电行业大气污染影响［J］. 中国环境科学，2024，44（11）:5990-5998.
[2]	GE J C，HUANG J，LAI Y N，et al. Analysis of standard specifications for calculating carbon emission factors for global electric power grids［J］. Global Energy Interconnection，2024，7（6）:662-674. 葛佳程，黄杰，赖业宁，等. 国内外电网碳排放因子计算标准规范分析［J］. 全球能源互联网，2024，7（6）:662-674.
[3]	DAI X，PANG Y F，ZHU P F，et al. Research and application of dilution method CO₂ online monitoring systems in thermal power enterprises［J］. Chinese Metrology，2024（7）:105-109. 戴旭，庞祎帆，朱鹏飞，等. 火电企业关于稀释法CO₂在线监测系统的研发应用［J］. 中国计量，2024（7）:105-109.
[4]	QIU D Z，CHEN C，GUO L，et al. Characteristics of greenhouse gas emissions from municipal wastewater treatment plants in major urban groups of China based on emission factor method［J］. Environmental Engineering，2022，40（6）:116-122. 邱德志，陈纯，郭丽，等. 基于排放因子法的中国主要城市群城镇污水厂温室气体排放特征［J］. 环境工程，2022，40（6）:116-122.
[5]	ZHANG Y N，LIU C，ZHANG L，et al. Research on infrared CO₂ gas sensor based on NDIR technology［J］. Instrument Technique and Sensor，2023（9）:23-28. 张雅楠，刘灿，张磊，等. 基于NDIR技术的红外CO₂气体传感器研究［J］. 仪表技术与传感器，2023（9）:23-28.
[6]	SUN Q F，LIU T Y，YU X N，et al. Non-interference NDIR detection method for mixed gases based on differential elimination［J］. Sensors and Actuators B:Chemical，2023，390:133901.
[7]	SUN Q F，LIU T Y，HUANG M Z. High accuracy wide range CO₂ detection method based on difference optical path NDIR［J］. Sensors and Actuators A:Physical，2023，363:114722.
[8]	ZHOU L，PANG X B，WU Z T. Development of a portable high precision carbon dioxide detector and elimination of humidity interference［J］. Environmental Engineering，2023，41（10）:37-44. 周磊，庞小兵，吴振涛. 便携式高精度二氧化碳检测仪的研制及湿度干扰消除的研究［J］. 环境工程，2023，41（10）:37-44.
[9]	ZHANG Y，CHEN F，LENG J X，et al. Carbon monoxide monitoring system based on gas filtering correlation［J］. Transducer and Microsystem Technologies，2018（10）:116-119，124. 张宇，陈帆，冷健雄，等. 基于气体滤波相关的一氧化碳监测系统［J］. 传感器与微系统，2018（10）:116-119.
[10]	FAISAL R. Intrusion steering by probing CO₂ transient density changes using NDIR sensing array［J］. Sensors and Actuators A:Physical，2021，330:112863.
[11]	WANG F，FANG H M，ZENG L B. Drift correction method of gas sensor based on polynomial regression model［J］. Transducer and Microsystem Technologies，2018，37（11）:28-30. 王飞，房汉鸣，曾丽蓓. 基于多项式回归模型的气体传感器漂移矫正方法［J］. 传感器与微系统，2018，37（11）:28-30.
[12]	QIANG Z F，WANG X，ZHANG X T. Gaussian distribution of stable diffusion for gas concentration correction on non-dispersive infrared gas sensor［J］. Chinese Journal of Scientific Instrument，2023，44（2）:138-145. 强振峰，王雪，张效天. 非色散红外气体传感器稳态扩散高斯分布浓度校正方法［J］. 仪器仪表学报，2023，44（2）:138-145.