二氧化碳气体排放过多是造成温室效应的主要原因,对全球环境及生态系统产生了深远影响。企业燃料燃烧产生的二氧化碳是城市区域碳排放的主要来源。为了通过碳排放交易来实现企业减排,就必须对企业烟囱排放二氧化碳进行精确的计量,而企业烟囱排放的二氧化碳含量一般在20%以下,需要建立高准确度的现场测量方法。通过多次反射吸收光谱技术精确获得二氧化碳在6361.25cm-1的(30012)←(00001)R18e跃迁谱线信息,进一步结合理想气体方程来精确获得15%,10%,5%和1%二氧化碳/氮气(氮气为平衡气体)混合物的浓度。结果表明所建立的装置和方法能够快速精确地测量待测气体的浓度,测量结果与基于天平的称重法相当,扩展相对不确定度小于0.65%(k=2)。
Abstract
Excessive emission of carbon dioxide is the main cause of greenhouse effect, which has a profound impact on the global environment and ecosystem. The carbon dioxide emitted from fuel combustion is the main source of urban area. In order to achieve the emission reduction through carbon emission trading, it is necessary to accurately measure the carbon dioxide in the enterprise chimney. The carbon dioxide content emitted by the enterprise chimney is generally below 20%, so it is necessary to establish a high-accuracy field measurement method. The multiple reflection absorption spectroscopy technology is used to accurately obtain (30012)←(00001) R18e transition line information of carbon dioxide at 6361.25cm-1, furtherly combines the ideal gas equation to accurately obtain the concentration of 15%, 10%, 5% and 1% carbon dioxide/nitrogen (nitrogen as balance gas) mixtures. The results show that the established device and technique can be used to measure the CO2 concentration efficiently and accurately. The measurement results are equivalent to that based on gravimetric method, and the relative expanded uncertainty is less than 0.65%(k=2).
关键词
多次反射吸收光谱 /
碳交易 /
摩尔浓度 /
Multi-pass Absorption Spectroscopy /
Carbon Trade /
Mole Fraction /
计量学 /
二氧化碳 /
多次反射吸收光谱 /
碳交易 /
摩尔浓度
Key words
metrology /
carbon dioxide /
multi-pass absorption spectroscopy /
carbon trade /
mole fraction
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参考文献
1 李胜, 肖兵. 基于TDLAS测量二氧化碳动态浓度与温度[J]. 自动化与信息工程, 2006,(4): 8-11. LiS, XiaoB. Measurement of CO2 Dynamic Concentration and Temperature Based on TDLAS [J]. Automation & Information Engineering, 2006,(4): 8-11.
2 胡鹤鸣, 王池, 张金涛. 城市区域碳排放测量反演研究国际进展[J]. 计量学报, 2017, 38(1): 7-12. HuH M, WangC, ZhangJ T. International Research Overview of Inversion Approach of Carbon Emission Measurement in Urban Area [J]. Acta Metrologica Sinica, 2017, 38(1): 7-12.
3 刘晓萌, 刘勤勇, 张亮. 大气温室气体探测激光雷达及其标定技术研究进展[J]. 计量学报, 2018, 39(1): 39-42. LiuX M, LiuQ Y, ZhangL. Recent Progress on Atmospheric Greenhouse-gases LIDAR and Its Calibration[J]. Acta Metrologica Sinica, 2018, 39(1): 39-42.
4 郑荣伟, 冯晓娟, 伍肆, 等. 近临界区二氧化碳声速的精密测量研究[J]. 计量学报, 2017, 38(1): 1-6. ZhengR W, FengX J, Wus, et al. Sound Speed Measurement for Carbon Dioxide Near the Critical Region[J]. Acta Metrologica Sinica, 2017, 38(1): 1-6.
5 LiuZ, GuanD, WeiW, et al. Reduced carbon emission estimates from fossil fuel combustion and cement production in China[J]. Nature, 2015, 524: 335-338.
6 IPCC. Climate Change 2013: The Physical Science Basis [R]. Cambridge University Press, 2013.
7 HerriottD R, KogelnikH, KompfnerR. Off-axis paths in spherical mirror interferometers [J]. Applied Optics, 1964, 3(4): 523-526.
8 邹冰妍, 林鸿, 张亮, 等. 点排放源中二氧化碳浓度的测量研究[J]. 计量学报, 2019, 40(2): 246-251. ZhouB Y, LinH, ZhangL, et al. Investigation on CO2 Concentration Measurement for Point Emission Source [J]. Acta Metrologica Sinica, 2019, 40(2): 246-251.
9 DemtrderW. Laser spectroscopy: Basic concepts and instruments [M]. New York: Springer, 2003.
10 GordonI, RothmanL, HillC, et al. The HITRAN2016 molecular spectroscopic database[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2017, 203: 3-69.
11 LongD A, BielskaK, LisakD, et al. The air-broadened, near-infrared CO2 line shape in the spectrally isolated regime: Evidence of simultaneous Dicke narrowing and speed dependence [J]. The Journal of Chemical Physics, 2011, 135: 064308.
12 赵欣月, 林鸿, 杨雷, 等. 1.6微米附近氮气展宽的一氧化碳分子线形的研究[J]. 计量学报, 2017, 38(1): 13-18. ZhaoX Y, LinH, YangL, et al. Inverstigation on line shape for N2-broadened CO near 1.6μm[J]. Acta Metrologica Sinica, 2017, 38(1): 13-18.
13 DickeR H. The effect of collisions upon the Doppler width of spectral lines [J]. Physical Review, 1953, 89: 472-473.
基金
国家国际科技合作专项(2015DFG71880);国家自然科学基金(51476153)