Fuzzy combustion control for reducing both CO and NOx from flue gas of refuse incineration furnace

被引：11
|
作者：
Fujii, S
Tomiyama, S
Nogami, T
Shirai, M
Ase, H
Yokoyama, T
机构：
[1] OSAKA UNIV,FAC ENGN SCI,DEPT SYST ENGN,TOYONAKA,OSAKA 560,JAPAN
[2] NKK CORP,TSURUMI KU,YOKOHAMA,KANAGAWA 230,JAPAN
[3] NKK CORP,CHIYODA KU,TOKYO 100,JAPAN
来源：
JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING | 1997年 / 40卷 / 02期
关键词：
fuzzy set theory; combustion; environmental engineering; refuse incineration furnace; CO reduction; NOx reduction;
D O I：
10.1299/jsmec.40.279
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
NKK developed a new combustion controller that reduces both NOx and CO concentrations in the exhaust gas of municipal refuse incineration furnaces. We found that the manipulation of the cooling air flow rate is important because it affects the furnace temperature and the O-2, NOx and CO concentrations in the exhaust gas. The new controller manipulates the cooling air flow rate. The controller monitors the furnace temperature and the O-2, NOx and CO concentrations as process variables and then operates the cooling air flow rate as a manipulated variable. This multi-input/single-output controller was designed using a fuzzy control algorithm and tested on site at a municipal refuse furnace. The result of the on-site test was quite successful.
引用
收藏
页码：279 / 284
页数：6
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