Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse

doi:10.16182/j.issn1004731x.joss.19-0235

Abstract

Abstract: Because the traditional methods can hardly analyze the complex combustion characteristics of cement kiln mixed with domestic refuse, a data mining technology is introduced. A domestic cement plant is selected as the object, and its operating data and relevant parameters are collected. The influence coefficient of each parameter on coal consumption and NO_x emission is analyzed by using Stability Selection algorithm. The mathematical model of coal consumption and NO_x emission is established with Random Forest algorithm, and the key optimization parameters and their optimal values are obtained by K-means clustering algorithm. The result shows that this method can establish accurate models of coal consumption and NO_x emission, and can find out the key optimization parameters and their optimal values for energy saving and emission reduction. By adjusting the key optimization parameters, coal consumption and NO_x emission can be greatly reduced. This method can guide cement plant to optimize kiln combustion performance.

Key words: cement kiln, domestic refuse, combustion performance, data mining, stability selection, random forest, k-means

CLC Number:

TQ172.6+2

Wu Jingbing, Tang Hanqing, Xu Jun. Analysis and Optimization of Combustion Characteristics of Cement Kiln Cooperatively Disposing Domestic Refuse[J]. Journal of System Simulation, 2020, 32(1): 35-43.

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