Energy, Power & Electrical Engineering

Research Progress of Online Carbon Emission Monitoring Technology for Thermal Power Enterprises

  • YAO Shunchun ,
  • ZHI Jiaqi ,
  • FU Jinbei ,
  • LI Zhenghui ,
  • LU Zhimin ,
  • ZHUO Junling
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  • 1.School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
    2.Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion,Guangzhou 510640,Guangdong,China
    3.Environmental Engineering Assessment Center,Ministry of Ecology and Environment,Beijing 100012,China
姚顺春(1983-),男,教授,博士生导师,主要从事能源低碳转化过程的智能感知和调控研究。E-mail:epscyao@scut.edu.cn

Received date: 2022-11-03

  Online published: 2023-01-13

Supported by

the National Key Research & Development Program of China(2019YFE0109700)

Abstract

In 2021, China’s national carbon market was officially opened, and the power generation industry was first included in the national unified carbon emission trading market. In this context, accurate, objective, real-time and credible carbon emission data is an important basis for the efficient operation of the carbon trading market. Carbon accounting method and online monitoring method are two commonly used carbon emission measurement methods in the world. This paper firstly reviewed the advantages and disadvantages of the two methods. The accounting method is a common method in China, and it has the advantages of wide application scope and unified accounting standards. However, there are some problems, such as complex processing process, poor timeliness, and sampling process vulnerable to human factors. On-line monitoring method has been widely concerned because of its advantages of good timeliness, high degree of automation and data not affected by human factors. However, there are still many problems in the application of online monitoring method in China. Firstly, there is no corresponding support system; secondly, the data quality of the online monitoring method cannot be guaranteed, and the comparability with the accounting method is also controversial. The biggest factors affecting the data quality are CO2 concentration monitoring technology and flue gas flow monitoring technology; thirdly, the accuracy of flue gas flow monitoring remains to be studied. Then, the data quality improvement and evaluation method of on-line monitoring method were analyzed and summarized. It is considered that the detection accuracy of CO2 concentration in power plant can reach a good level, while the accuracy of flue gas flow monitoring has not yet reached a unified conclusion. Its monitoring technology and measuring point layout will affect its field application. It is imperative to develop a flue flowmeter with independent intellectual property rights, wide application range and high precision for China’s accurate carbon verification cause. The quality evaluation of online monitoring data can be quantified by uncertainty. Finally, the following suggestions were put forward: first, to set up different carbon emissions online monitoring pilot and select different types and capacity of the unit for the studies. According to the specific conditions of the site, different flowmeters should be installed for comparative analysis to explore more suitable flowmeter types and site measurement point layout. Second, to establish an uncertainty analysis model for online monitoring of carbon emissions, to quantitatively analyze the factors that introduce greater uncertainty, and to improve the data evaluation system. Third, to construct a comprehensive comparison system of carbon emission online monitoring data and verification data. If the online monitoring method and the accounting method coexist in the carbon market, it is necessary to ensure the consistency of different data and the fairness of the carbon market. Fourth, to establish a supporting mechanism for a continuous online monitoring system for carbon emissions as soon as possible, and to establish corresponding national standards to ensure that the report data is based on evidence.

Cite this article

YAO Shunchun , ZHI Jiaqi , FU Jinbei , LI Zhenghui , LU Zhimin , ZHUO Junling . Research Progress of Online Carbon Emission Monitoring Technology for Thermal Power Enterprises[J]. Journal of South China University of Technology(Natural Science), 2023 , 51(6) : 97 -108 . DOI: 10.12141/j.issn.1000-565X.220731

References

1 马翠梅,寿欢涛,徐丹卉 .国际温室气体监测情况以及对我国的建议[J].环境保护202250(5):58-62.
  MA Cuimei, SHOU Huantao, XU Danhui .International experiences of Ghg monitoring and implications for China[J].Environmental Protection202250(5):58-62.
2 SUR R, SUN K, JEFFRIES J B,et al .Scanned-wavelength-modulation-spectroscopy sensor for CO,CO2,CH4 and H2O in a high-pressure engineering-scale transport-reactor coal gasifier[J].Fuel2015150:102-111.
3 生态环境部 .生态环境监测规划纲要(2020—2035年)[EB/OL].(2020-06-20)[2022-09-01]..
4 王萍萍,赵永椿,张军营,等 .双碳目标下燃煤电厂碳计量方法研究进展[J].洁净煤技术202228(10):170-183.
  WANG Pingping, ZHAO Yongchun, ZHANG Junying,et al .Research progress on carbon measurement methods of coal-fired power plants under the background of carbon neutrality[J].Clean Coal Technology202228(10):170-183.
5 JAMES A T, MARTIN A J P .Gas-liquid partition chromatography;the separation and micro-estimation of volatile fatty acids from formic acid to dodecanoic acid[J].The Biochemical Journal195250(5):679-690.
6 PLATT U, PERNER D, PATZ H W .Simultaneous measurement of atmospheric CH2O,O3,and NO2 by differential optical absorption[J].Journal of Geophysical Research197984(C10):6329-6335.
7 贾雅情 .基于近红外激光光谱技术的二氧化碳浓度测量方法研究[D].保定:河北大学,2020.
8 MAURELLIS A N, LANG R, ZANDE W J V D .A new DOAS parameterization for retrieval of trace gases with highly-structured absorption spectra[J].Gephysical Research Letters200027(24):4069–4072.
9 WALLIN S,黄兆开,范海华 .DOAS方法在连续排放污染源及过程气体在线监测中的实现[J].环境工程技术学报20111(1):38-45.
  WALLIN S, HUANG Zhaokai, FAN Haihua .Using differential optical absorption spectroscopy (DOAS) for continuous emission monitoring and process gases[J].Journal of Environmental Engineering Technology20111(1):38-45.
10 王汝雯 .基于WFM-DOAS温室气体柱浓度反演方法及应用研究[D].合肥:中国科学技术大学,2019.
11 李相贤,徐亮,高闽光,等 .分析温室气体及CO2碳同位素比值的傅里叶变换红外光谱仪[J].光学精密工程201422(9):2359-2368.
  LI Xiangxian, XU Liang, GAO Minguang,et al .Fourier transform infrared greenhouse analyzer for gases and carbon isotope ratio[J].Optics and Precision Engineering201422(9):2359-2368.
12 ESLER M B, GRIFFITH D W T, WILSON S R,et al .Precision trace cas analysis by FT-IR spectroscopy.1.simultaneous analysis of CO2,CH4,N2O,and CO in air[J].Analytical Chemistry200072(1):206-215.
13 盛润坤,陈晨,王大伟,等 .基于FTIR和UV-DOAS联用技术的烟气在线监测系统的应用研究[J].中国环保产业2020(7):64-67,72.
  SHENG Runkun, CHEN Chen, WANG Dawei,et al .Research on the application of on-line monitoring system for flue gas emission based on the combination of FTIR and UV-DOAS [J].China Environmental Protection Industry2020(7):64-67,72.
14 高明亮 .基于傅里叶变换红外光谱技术的多组分气体定量分析研究[D].合肥:中国科学技术大学,2010.
15 饶雨舟,李越胜,姚顺春,等 .碳排放在线检测技术的研究进展[J].广东电力201528(8):1-8.
  RAO Yuzhou, LI Shengyue, YAO Shunchun,et al .Research development of online detection technology for carbon emission [J].Guangdong Electric Power201528(8):1-8.
16 张加宏,朱涵,顾芳,等 .非色散红外CO2气体传感器的抗温湿度干扰设计[J].电子测量与仪器学报202236(7):160-169.
  ZHANG Jiahong, ZHU Han, GU Fang,et al .Anti-temperature and humidity interference design of non-dispersive infrared CO2 gas sensor[J].Journal of Electronic Measurement and Instrumentation202236(7):160-169.
17 张珅,王煜,赵欣,等 .基于NDIR开放光路CO2浓度测量的标定方法研究[J].仪表技术与传感器2020(3):100-104,117.
  ZHANG Kun, WANG Yu, ZHAO Xin,et al .Research on calibration method of CO2 concentration measurement based on NDIR open optical path[J].Instrument Technique and Sensor2020(3):100-104,117.
18 赵勇毅 .基于NDIR技术的双组分气体传感系统的设计与实现[D].南京:南京信息工程大学,2020.
19 孙亚飞 .基于神经网络算法补偿的红外CO2气体传感器系统研究[D].南京:南京信息工程大学,2018.
20 朱晓睿 .基于TDLAS的燃煤电厂温室气体排放检测技术研究[D].广州:华南理工大学,2019.
21 WU K, LI F, CHENG X,et al .Sensitive detection of CO2 concentration and temperature for hot gases using quantum-cascade laser absorption spectroscopy near 4.2 μm[J].Applied Physics B2014117(2):659-666.
22 LI C, SHAO L, JIANG L,et al .Simultaneous measurements of CO and CO2 employing wavelength modulation spectroscopy using a signal averaging Technique at 1.578 m[J].Applied Spectroscopy201872(9):1380-1387.
23 崔海滨 .CO/CO2/NO的可调谐激光吸收光谱遥测方法研究及其在汽车尾气道边检测的应用[D].杭州:浙江大学,2021.
24 LEE S, CHOI Y,WOO J,et al .Estimating and comparing greenhouse gas emissions with their uncertainties using different methods:a case study for an energy supply utility[J].Journal of the Air & Waste Management Association201464(10):1164-1173.
25 QUICK J C .Carbon dioxide emission tallies for 210 U.S. coal-fired power plants:a comparison of two accounting methods [J].Journal of the Air & Waste Management Association201464(1):73-79.
26 MUNUKUTLA S S, CRAVEN R .On-line monitoring of efficiency and greenhouse gas emissions in coal-fired units [C]∥ Proceedings of Recent Researches in Energy,Environment,Devices,Systems,Communications and Computers.Venice:EEDSCC,2011.
27 马仁婷 .流速分布未知二维流场流量测量方法研究[D].北京:华北电力大学,2017.
28 李跃忠 .多声道超声波气体流量测量关键技术研究[D].武汉:华中科技大学,2010.
29 EREN H I .Accuracy in real time ultrasonic applications and transit-time flow meters[C]∥ Proceedings of 15th Annual IEEE Instrumentation and Measurement Technology Conference on Where Instrumentation is Going. St. Paul:IEEE,1998.
30 李海洋,张亮,刘幸,等 .固定排放源烟气流量在线监测技术[J].上海计量测试201845(5):6-11.
  LI Haiyang, ZHANG Liang, LIU Xing,et al .Research on on-line monitoring technology of flue gas flow in fixed emission source[J].Shanghai Measurement and Testing201845(5):6-11.
31 DRENTHEN J G, de BOER G .The manufacturing of ultrasonic gas flow meters[J].Flow Measurement and Instrumentation200112(2):89-99.
32 樊洁云 .烟气超声流量计非实流校准方法研究[D].保定:河北大学,2020.
33 高兴林 .火电厂烟气排放流量实时测量装置研究[D].北京:华北电力大学,2019.
34 NAM T, KIM S, KIM S,et al .The temperature compensation of a thermal flow sensor with a mathematical method[C]∥ Proceedings of the 12th International Conference on Solid-State Sensors,Actuators and Microsystems. Boston:IEEE,2003.
35 HORNING M A, SHAKYA R,IDA N .Design of a low-cost thermal dispersion mass air flow (MAF) sensor [J].Sensing and Imaging201819(1):21/1-16.
36 赵伟国 .热式气体质量流量测量方法及系统研究[D].杭州:浙江大学,2009.
37 左家翰 .火力发电厂烟气质量流量实时检测方法研究[D].北京:华北电力大学,2015.
38 杨阳 .烟道流量校准方法研究及装置开发[D].杭州:中国计量大学,2020.
39 杨俊,翁国华,岳坚,等 .基于伺服电机控制的三维皮托管测速系统设计[J].电子科技201528(9):152-155.
  YANG Jun, WENG Guohua, YUE Jian,et al .Design of the three-dimensional pitot speed measuring system based on servo motor[J].Electronic Science and Technology201528(9):152-155.
40 邓千封 .基于皮托管的烟道气体流量测量及量值溯源技术研究[D].保定:河北大学,2020.
41 孙志强,郑剑武,张宏建,等 .类S型皮托管及其测量特性研究[J].传感器与微系统200726(5):40-42.
  SUN Zhiqiang, ZHENG Jianwu, ZHANG Hongjian,et al .Reasearch on quasi-S-like pitot tube and its measurement characteristics[J].Transducer and Microsystem Technologies200726(5):40-42.
42 李德林 .基于风洞试验下的皮托管几何结构的优化设计研究[D].保定:河北大学,2018.
43 WECEL D, CHMIELNIAK T, KOTOWICZ J .Experimental and numerical investigations of the averaging Pitot tube and analysis of installation effects on the flow coefficient[J].Flow Measurement and Instrumentation200819(5):301-306.
44 VOORAKARANAM S, JOSEPH B .Model predictive inferential control with application to a composites manufacturing process[J].Industrial & Engineering Chemistry Research199938(2):433-50.
45 姜万录,雷亚飞,张齐生,等 .基于RBFNN建模的动态流量软测量方法研究[J].仪器仪表学报200829(9):1888-1893.
  JIANG Wanlu, LEI Yafei, ZHANG Qisheng,et al .RBFNN modeling based dynamic flow soft sensing method[J].Chinese Journal of Scientific Instrument200829(9):1888-1893.
46 吕梦雅,王岩,唐勇 .动态流量软测量建模方法研究[J].哈尔滨工业大学学报200941(1):242-244.
  Mengya Lü, WANG Yan, TANG Yong .Dynamic flow testing soft-sensor modeling[J].Journal of Harbin Institute of Technology200941(1):242-244.
47 佟纯涛,金秀章,郝兆平 .基于变量筛选的烟气流量软测量研究[J].电力科学与工程201632(5):49-54.
  TONG Chutao, JIN Xiuzhang, HAO Zhaoping .Research on soft measurement of flue gas flow based on variable selection[J].Electric Power Science and Engineering201632(5):49-54.
48 Agency U S E P .EPA 40 CFR Part 60-Standards of performance for greenhouse gas emissions from new stationary sources:electric utility generating units [M].Durham:Environmental Protection Agency (EPA),2000.
49 环境保护部 .HJ/T 75.2017固定污染源烟气(SO2、NO X 、颗粒物)排放连续检测技术规范[M].北京:环境保护部,2017.
50 王毓丹,姚俊 .烟尘测试中选择采样断面及确定测点数目的探讨[J].重庆环境科学200325(12):147-148.
  WANG Yudan, YAO Jun .Discussion on selecting sampling section and determining the number of measuring points in soot test[J].Chongqing Environmental Science200325(12):147-148.
51 董鸿霖,朱小良 .基于自模化理论的烟气流速测点布置方式研究[J].发电设备202135(5):319-324.
  DONG Honglin, ZHU Xiaoliang .Study on the arrangement of flue gas velocity measurement points based on self-modeling theory[J].Power Equipment202135(5):319-324.
52 冯真祯 .燃煤电厂矩形烟道烟气流速确定方法研究[D].南京:南京信息工程大学,2011.
53 韩亚军,衣魁月,苗祎磊,等 .火电厂烟气排放流量多点式自动测量方法研究[J].自动化与仪器仪表2019(12):138-140,148.
  HAN Yajun, YI Kuiyue, MIAO Yilei,et al .Multi point automatic measurement method for flue gas discharge in thermal power plants[J].Automation and Instrumentation2019(12):138-140,148.
54 BRYANT R, SANNI O, MOORE E,et al .An uncertainty analysis of mean flow velocity measurements used to quantify emissions from stationary sources [J].Journal of the Air & Waste Management Association201464(6):679-689.
55 郭虎林,张亮 .基于CFD的矩形烟道速度面积法中不同积分方法的对比[J].中国测试202222(3):1-8.
  GUO Hulin, ZHANG Liang .Comparison of different integral methods in area velocity method for rectangular stack based on CFD [J].China Measurement & Test202222(3):1-8.
56 钱丛昊,冯璇,朱小良 .多线法测量烟气流速的CFD模拟研究[J].发电设备201933(6):375-380.
  QIAN Conghao, FENG Xuan, ZHU Xiaoliang .CFD simulation study of a multi-line flue gas velocity measurement method[J].Power Equipment201933(6):375-380.
57 李斐 .GUM法评定测量不确定度在计量标准中的应用[J].铁路通信信号工程技术201916(4):75-78.
  LI Fei .Application of GUM evaluating and measuring uncertainty in measurement standard[J].Railway Signalling & Communication Engineering201916(4):75-78.
58 刘园园,杨健,赵希勇,等 .GUM法和MCM法评定测量不确定度对比分析[J].计量学报201839(1):135-139.
  LIU Yuanyuan, YANG Jian, ZHAO Xiyong,et al .Comparative analysis of uncertainty measurement evaluation with GUM and MCM[J].Acta Metrologica Sinica201839(1):135-139.
59 马福强,刘彦森,杨学猛,等 .基于GUM法测试不确定度评价方法研究[J].声学技术201635(3):54-57.
  MA Fu-qiang, LIU Yan-sen, YANG Xue-meng,et al .Research on uncertainty in measurement based on GUM method[J].Technical Acoustics201635(3):54-57.
60 位恒政,王为农,裴丽梅,等 .面向任务的坐标测量机测量不确定度评价方法[J].计量科学与技术202165(5):115-119,154.
  WEI Hengzheng, WANG Weinong, PEI Limei,et al .Measurement uncertainty evaluation method for task-oriented coordinate measuring machines [J].Metrological Science and Technology202165(5):115-119,154.
61 邓程薏,闻倩娱,朱娜,等 .欧盟碳排放量核算方法及不确定度的研究与借鉴[C]∥第十八届中国标准化论坛论文集.佛山:中国标准化协会,2021.
62 杨美昭 .企业温室气体排放量监测计量方法研究[D].保定,河北大学,2021.
63 郭振,王小龙,任健,等 .二氧化碳排放连续在线监测过程的模拟与不确定度评定[J].计量学报202243(1):120-126.
  GUO Zhen, WANG Xiaolong, REN Jian,et al .Simulation and uncertainty evaluation of continuous on-line monitoring process of carbon dioxide emission[J].Acta Metrologica Sinica202243(1):120-126.
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