DocumentCode :
3349842
Title :
Optimization of NOx emission from coal combustion process using pattern search
Author :
Ligang Zheng ; Chang Lu ; Minggao Yu ; Shuijun Yu
Author_Institution :
State Key Lab. Cultivation Base for Gas Geol. & Gas Control, Henan Polytech. Univ., Jiaozuo, China
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
2211
Lastpage :
2214
Abstract :
This study presents a new approach based on a pattern search algorithm to solve combustion optimization problem (i.e. achieving expected goals by optimizing the parameters of the combustion process). In the optimization problem, the objective function was implicitly expressed by a surrogate model, which was illustrated by a support vector machine. Ten inputs for this “black box” surrogate model were chosen as design variables of the pattern search algorithm. Then, the proposed method was applied to a coal combustion process, aiming at reducing the nitrogen oxides (NOx). The outcome is very encouraging and suggests that PS methods may be very efficient when solving low NOx combustion optimization problem.
Keywords :
air pollution; coal; combustion; environmental science computing; nitrogen compounds; production engineering computing; search problems; support vector machines; NOx emission optimization; coal combustion; combustion optimization problem; nitrogen oxides; objective function; pattern search algorithm; support vector machine; surrogate model; Algorithm design and analysis; Coal; Combustion; Mathematical model; Optimization; Search problems; Support vector machines; combustion optimization; nitrogen oxides; pattern search algorihm; support vector regression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022560
Filename :
6022560
Link To Document :
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