期刊文献+

基于超低氮排放的精准脱硝控制研究及设计 被引量:2

Research and Design of Precise Denitrification Control Based on Ultra-low Nitrogen Emission
下载PDF
导出
摘要 火力发电厂锅炉内燃烧会产生较多的NOx,进而会对环境造成污染,为满足超低排放的要求需要进行精准脱硝研究。基于选择性催化还原技术,对脱硝具体过程编写程序,最终实现喷氨量的控制和脱硝流程的自动化,为现场精准脱硝提供理论依据和技术支持。 The combustion in the boiler of a thermal power plant will produce more NOx,which will cause pollution to the environment. In order to meet the requirements of ultra-low emission,it is necessary to carry out precise denitrification research. Based on the selective catalytic reduction technology,and the specific process of denitration program,the final realization of ammonia injection control and denitration process automation,to provide theoretical basis and technical support for accurate denitration on site.
作者 卫鑫 张静 张培华 WEI Xin;ZHANG Jing;ZHANG Pei-hua(School of Mathematical Sciences,Shanxi University,Taiyuan 030006,China;Automation department,Shanxi University,Taiyuan 030006,China;Shanxi University,Taiyuan 030006,China)
出处 《自动化与仪表》 2019年第12期33-38,共6页 Automation & Instrumentation
关键词 智能控制 脱硝 模糊控制算法 火电厂 自动化 intelligent control denitrification fuzzy control algorithm thermal power plant automation
  • 相关文献

参考文献5

二级参考文献26

  • 1陶文华.模糊控制系统研究与应用[J].工业仪表与自动化装置,2004(4):10-12. 被引量:12
  • 2刘炜,张俊丰,童志权.选择性催化还原法(SCR)脱硝研究进展[J].工业安全与环保,2005,31(1):25-28. 被引量:31
  • 3陈杭君,赵华,丁经纬.火电厂烟气脱硝技术介绍[J].热力发电,2005,34(2):15-18. 被引量:47
  • 4刘今.发电厂烟气脱硝技术——SCR法[J].江苏电机工程,1996,15(1):51-55. 被引量:19
  • 5Jiang W, Li J L, Zhang J. Research on the temperature control system based on the Pan - Boolean algebra PID controller [ J ]. Advanced Materials Research, 2011 (230/232) : 1402 - 1406.
  • 6Zhang R D, Wu S, Lu R Q, Gao F R. Predictive control optimization based PID control for temperature in an in- dustrialsurfactant reactor [ J ]. Chemometrics and Intelli- gent Laboratory Systems, 2014,15 (135) : 48 - 62.
  • 7Li Y G, Hu Z H. Optimal design of self - tuning fuzzy con- troller based on immune principle [ C]//Hangzhou, P. R. China: IEEE, Proceedings of the 5th World Congress on In- telligent Control and Automation, 2004:2593 -2597.
  • 8Chen Y W, Chai T Y. Temperature control of regenera- tive heating furnace based on double - crossing clipping PID - RBR [ J ]. Journal of Northeastern University, 2010, 31(9) : 1212 - 1220.
  • 9Shi D Q, Gap G L, Gap Z W, et al. Application of expert fuzzy PID method for temperature control of heating fur- nace[J].Procedia Engineering, 2012 (29) : 257 - 261.
  • 10Radakovic Z R, Milosevic V M, Radakovic S B. Applica- tion of temperature fuzzy controller in an indirect resistance furnace [ J ]. Applied Energy, 2002.2 ( 73 ) : 167 - 182.

共引文献220

同被引文献20

引证文献2

二级引证文献1

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