锅炉技术2026，Vol.57Issue(1)：41-47,7.
我国燃煤工业锅炉碳氧化率分布及影响因素研究
Research on the Distribution and Influencing Factors of Carbon Oxidation Rate in Coal-Fired Industrial Boilers in China
刘雪敏 1胡浩南 2刘超 1肖显斌 3笪耀东1
作者信息
- 1. 国家市场监管重点实验室(特种设备安全与节能)中国特种设备检测研究院,北京 100029||低碳热力发电技术与装备全国重点实验室,北京 100029
- 2. 华北电力大学新能源学院,北京 102206
- 3. 华北电力大学新能源学院,北京 102206||怀柔实验室山西研究院,山西 太原 030032
- 折叠
摘要
Abstract
The distribution of carbon oxidation rate in coal-fired industrial boilers is relatively scattered,and conducting research on its distribution and influencing factors is of great signif-icance for improving the quantification level of carbon emissions.Based on a large number of data samples of carbon oxidation rate in coal-fired industrial boilers,the effects of boiler ca-pacity and load,combustion mode,and coal type on carbon oxidation rate are analyzed.A Back-Propagation(BP)neural network model is used to predict the carbon oxidation rate.The results show that the carbon oxidation rate of coal-fired industrial boilers is mainly dis-tributed between 82％and 100％,with an average value of 91.60％.As the rated capacity in-creases,the distribution of carbon oxidation rate tends to be concentrated and overall shows an upward trend.For different combustion modes,chamber combustion has the highest car-bon oxidation rate,while stratified combustion has the lowest.Lignite and bituminous coal,which have high volatile content,have relatively high carbon oxidation rates.There is a sig-nificant positive correlation between boiler thermal efficiency and carbon oxidation rate.The carbon oxidation rate and heat loss due to mechanical incomplete combustion can be one-to-one corresponded by the carbon content per unit heat value.The carbon oxidation rate of coal-fired industrial boilers can be accurately predicted by parameters such as boiler capacity,load and as received low calorific value.关键词
燃煤工业锅炉/碳氧化率/热效率/燃烧方式/单位热值含碳量/BP神经网络Key words
coal fired industrial boilers/carbon oxidation rate/thermal efficiency/com-bustion mode/carbon content per unit calorific value/BP neural network分类
能源科技引用本文复制引用
刘雪敏,胡浩南,刘超,肖显斌,笪耀东..我国燃煤工业锅炉碳氧化率分布及影响因素研究[J].锅炉技术,2026,57(1):41-47,7.
