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《Power Engineering》 2004-03
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Application of Statistical Regression Method in NO_x Output Monitoring for Power Station Boiler

BAI Wei-dong,YAN Jian-hua,WANGFei,MA Zeng-yi,LIN Bin,ZHANG Qing-yu,NI Ming-jiang,CEN Ke-fa(Institute of Thermal Power Engineering,Zhejiang University, Hangzhou 310027, China)  
By the analysis of the generation NO_x model during coal combustion in utility in utility boilers in this paper, the boilers function parameters related with generation NO_x quantity are determinated. The temperature distribution variable is gained by using combustion flame image processing technique and radiation transfer equation inversion measurement. The boilers function parameters and the temperature distribution variable are combined to construct a input-data matrix, using least square method to estimate the output NO_x quantity during boilers running, and compare it to practical value. The analysis result showes, the method can be used to predict the output pollutant real-time. Fig 1,tables 3 and refs 9.
【Fund】: 国家自然科学基金资助项目(50106015)
【CateGory Index】: TK311
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