Yutong Jiang , Chenghua Zhang , Kaiwen Feng , Zhihui Zheng , Jing Yan , Hairong Wang , Lei Lan , Hailiang Lu
{"title":"A carbon emission monitoring method based on the average velocity across flue cross-sections","authors":"Yutong Jiang , Chenghua Zhang , Kaiwen Feng , Zhihui Zheng , Jing Yan , Hairong Wang , Lei Lan , Hailiang Lu","doi":"10.1016/j.clet.2026.101155","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":34618,"journal":{"name":"Cleaner Engineering and Technology","volume":"31 ","pages":"Article 101155"},"PeriodicalIF":6.5000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cleaner Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666790826000145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/26 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.