Research on applications of multi-objective optimization algorithm to combustion optimization in a coal-fired boiler

被引：0
|
作者：
Lu, Lu [1 ]
Wang, Peihong [1 ]
Le, Jinguo [1 ]
机构：
[1] Xuzhou AF Coll, Dept Air Stn 4, Xuzhou 221000, Peoples R China
来源：
PROCEEDINGS OF THE 6TH INTERNATIONAL SYMPOSIUM ON COAL COMBUSTION | 2007年
关键词：
multi-objective optimization algorithm; Pareto; combustion optimization; NOx emission; boiler efficiency;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Coal-fired boiler operation is confronted with two requirements of reducing the operating cost and the contamination emission. More and more attention is paid to the multi-objective optimization problem of high boiler efficiency and low NO, emission. Based on the NO, emission and boiler efficiency response characteristics model, the multi-objective optimization genetic algorithm was applied to solve the multi-objective optimization control problem of high efficiency and low emission boiler combustion. Numerical optimization results show that the proposed optimization algorithm can provide feasible optimal control strategy for the multi-objective optimization problem of high efficiency and low emission boiler combustion.
引用
收藏
页码：211 / 217
页数：7
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