基于烟道横截面平均流速的碳排放监测方法

IF 6.5 Q2 ENGINEERING, ENVIRONMENTAL
Cleaner Engineering and Technology Pub Date : 2026-04-01 Epub Date: 2026-01-26 DOI:10.1016/j.clet.2026.101155
Yutong Jiang , Chenghua Zhang , Kaiwen Feng , Zhihui Zheng , Jing Yan , Hairong Wang , Lei Lan , Hailiang Lu
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引用次数: 0

摘要

准确的碳核算对于公平的全球碳交易至关重要,尤其是在能源密集型行业。现有的在线监测系统能够实时跟踪烟气参数,但往往受到成本高和准确性低的阻碍。为了解决这些问题,本研究提出了一种基于烟道横截面平均流速的碳排放监测方法。仿真结果表明,将传感器定位在0.375D至0.625D中心区域(其中D为烟道直径)可使径向速度偏差最小化,提高测量均匀性。一个定制的实验室平台验证了所提出的方法,在测量和实际排放量之间实现了5%的平均误差。在某水泥厂的现场验证进一步表明,与传统等面积法相比,该方法的相对误差为3.58%。该方法显著减少了所需流量传感器的数量,同时保持了相当的精度,为工业碳排放监测提供了经济高效且可靠的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A carbon emission monitoring method based on the average velocity across flue cross-sections

A carbon emission monitoring method based on the average velocity across flue cross-sections
Accurate carbon accounting is essential for equitable global carbon trading, particularly in energy-intensive industries. Existing online monitoring systems enable real-time tracking of flue gas parameters but are often hindered by high costs and low accuracy. To address these challenges, this study proposes a carbon emission monitoring method based on the average flow velocity across the flue cross-section. Simulation results indicate that positioning sensors within the central 0.375D to 0.625D region (where D is the flue diameter) minimizes radial velocity deviations and improves measurement uniformity. A customized laboratory platform validated the proposed method, achieving a 5 % average error between measured and actual emissions. Field verification in a cement plant further demonstrated a relative error of 3.58 % compared with the traditional equal-area method. This method significantly reduces the number of required flow sensors while maintaining comparable accuracy, offering a cost-effective and reliable solution for industrial carbon emission monitoring.
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来源期刊
Cleaner Engineering and Technology
Cleaner Engineering and Technology Engineering-Engineering (miscellaneous)
CiteScore
9.80
自引率
0.00%
发文量
218
审稿时长
21 weeks
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