我国燃煤工业锅炉碳氧化率分布及影响因素研究OA
Research on the Distribution and Influencing Factors of Carbon Oxidation Rate in Coal-Fired Industrial Boilers in China
燃煤工业锅炉碳氧化率分布较为分散,开展其分布及影响因素研究对于提高碳排放量化水平具有重要意义.基于大量燃煤工业锅炉碳氧化率数据实测样本,分析了锅炉容量及负荷、燃烧方式、煤种等对碳氧化率的影响,并采用反向传播(BP)神经网络模型进行了碳氧化率的预测.结果表明:燃煤工业锅炉碳氧化率主要分布于82%~100%之间,平均值为91.60%.随着额定容量增大,碳氧化率分布趋于集中,且总体呈现升高趋势.对于不同燃烧方式,火室燃烧的碳氧化率最高,层状燃烧最低.褐煤、烟煤挥发分含量较高,碳氧化率相对较高.锅炉热效率与碳氧化率之间呈现明显的正相关性,碳氧化率与机械不完全燃烧热损失通过单位热值含碳量可一一对应.通过锅炉容量、负荷率、收到基低位发热量等参数,可以较为准确得预测燃煤工业锅炉碳氧化率.
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.
刘雪敏;胡浩南;刘超;肖显斌;笪耀东
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华北电力大学新能源学院,北京 102206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
能源科技
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
coal fired industrial boilerscarbon oxidation ratethermal efficiencycom-bustion modecarbon content per unit calorific valueBP neural network
《锅炉技术》 2026 (1)
41-47,7
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