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大型燃煤锅炉氮氧化物排放预测模型
引用本文:凡荣荣,杨巨生,谢克昌.大型燃煤锅炉氮氧化物排放预测模型[J].电气技术,2012(5):34-36.
作者姓名:凡荣荣  杨巨生  谢克昌
作者单位:1. 太原理工大学电气与动力学院,太原,030024
2. 太原理工国内大学生命与技术山西省教育部重点实验室,太原,030024
摘    要:随着环保要求的不断提高,大型燃煤电厂锅炉的NOx排放特性日益受到关注。借助某600MW锅炉燃烧调整试验数据,采用BP-adaboost算法建立了NOx排放特性的预测模型。研究结构表明,与BP神经网络建立的NOx特性排放模型相比,该模型能根据燃煤特性及各种操作参数更加准确预测锅炉在不同工况下NOx排放特性。

关 键 词:氮氧化物  BP-adaboost  BP神经网络

Predicate Model on NOx Emission of a High Capacity Firing Boiler
Fan Rongrong,Yang Jusheng,Xie Kechang.Predicate Model on NOx Emission of a High Capacity Firing Boiler[J].Electrical Engineering,2012(5):34-36.
Authors:Fan Rongrong  Yang Jusheng  Xie Kechang
Affiliation:1.College fo Electric and Power Engineering,TUT,Taiyuan 030024;2.Key Laboratory of Coal Science and Technology of Ministry of Education,Taiyuan 030024)
Abstract:With the development of the restricted environmental protection demand,more attention is paid to the NOx emission property of the high capacity tangential firing boiler.The estimation model has been established by means of BP-adaboost based on a 600MW boiler combustion adjustment testing data.It is proven by the research result that such a model can predicate the NOx emission more accurate than that established by BP network under various operating conditions.
Keywords:NOx  BP-adaboost  BP network
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