期刊文献+

高炉煤气锅炉燃烧中氮氧化物污染物的控制 被引量:8

Cotrol of nitrogen oxide pollution for blast furnace gas boiler
下载PDF
导出
摘要 文章介绍了氮氧化物生成机理及高炉煤气锅炉燃烧中氮氧化物污染物的控制。通过对NOx生成机理的讨论,高炉煤气燃烧时主要产生的NOX为热力型NOX,采用多层燃烧器的布置,把燃烧器组设计成浓淡燃烧器,从而降低NOX的生成,使锅炉NOX排放达标,使之成为一种环保型污染气体治理设备。 This is concerned with the principle of nitrogen oxide generating and the control of nitrogen oxide pollution for blast furnace gas boiler. Through the research of nitrogen oxide generating principle,it is aware that the NOx generated should be thermal NOx, the burner is designed to be dense - dilute type and adopt muhilayer arrangeraent so that the NOx capacity would be reduced and the oudet NOx capacity could meet relevant emission standards, which also makes it to be a kin3 of environmental protection type waste gas treatment device.
出处 《江西能源》 2007年第3期33-34,36,共3页 Jiangxi Energy
关键词 高炉煤气锅炉 燃烧 氮氧化物 控制 Blast furnace gas boiler Combustion Nitrogen oxide Control
  • 相关文献

同被引文献34

  • 1李宝忠,董洪旺.绿色高炉炼铁技术发展方向[J].河北冶金,2020(S01):1-4. 被引量:14
  • 2胡日君,程素森.考贝式热风炉拱顶空间烟气分布的数值模拟[J].北京科技大学学报,2006,28(4):338-342. 被引量:9
  • 3刘勇,吴国忠.NOx的生成机理[J].油气田地面工程,2007,26(4):32-33. 被引量:28
  • 4李超,李学华,贺友多,陈义胜.卡鲁金顶燃式热风炉预燃室和拱顶流动的数值模拟[J].科技情报开发与经济,2007,17(17):175-176. 被引量:5
  • 5Srinivas V, Ramanjaneyulu K. An integrated approachfor optimum design of bridge decks using genetic algo- rithms and artificial neural networks [ J ]. Advances in Engineering Software, 2007, 38 ( 7 ) :475 - 487.
  • 6Somesh Kumar, Manu Pratap Singh. Pattern recall anal- ysis of the Hopfield neural network with a genetic algo- rithm [ J ]. Computers & Mathematics with Applica- tions, 2010, 60(4):1049- 1057.
  • 7张一敏.球团理论与工艺[M].2版.北京:冶金工业出版社,2002:1-178.
  • 8Plutowski M, White H. Selecting concise training sets from clean data [ J ]. IEEE TransNeural Networks, 1993, 4(2) : 590-604.
  • 9Chu Jizheng, Shieh Shyanshu. Constrained optimization of combustion in a simulated coal-fired boiler using arti- ficial neural network model and information analysis [ J ]. Fuel, 2003, 82 (2) : 693 - 703.
  • 10Liu Zhengjun, Liu Aixia, Wang Changyao,et al. Evol- ving neural network using real coded genetic algorithm for multispectral image classification[ J]. Future Gener- ation Computer Systems, 2004, 20(7):1119- 1127.

引证文献8

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部