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锅炉在线燃烧优化技术的开发及应用
引用本文:梁绍华,李秋白,黄磊,鲁松林,赵恒斌,岑可法. 锅炉在线燃烧优化技术的开发及应用[J]. 动力工程, 2008, 28(1): 33-35,53
作者姓名:梁绍华  李秋白  黄磊  鲁松林  赵恒斌  岑可法
作者单位:1. 浙江大学热能研究所,杭州310027;江苏省电力试验研究院有限公司,南京,210036
2. 中国国电集团谏壁发电厂,镇江,212006
3. 江苏省电力试验研究院有限公司,南京,210036
4. 浙江大学热能研究所,杭州,310027
摘    要:锅炉燃烧调整试验获得的优化工况不能满足电厂煤质和机组负荷变化的要求,因此开发了在线燃烧优化技术.它以连续监测烟气成分为基础,实时确定炉膛高温腐蚀速率,同时利用支持向量机对锅炉效率和NOx排放浓度建模和遗传算法寻优,在线获得安全、经济和环保的锅炉运行工况.实际应用表明,该技术确定的优化工况实现了煤质及机组负荷的耦合,提高了锅炉效率,降低了NO2排放浓度.

关 键 词:能源与动力工程  锅炉  燃烧优化  烟气成份  连续监测  遗传算法  支持向量机  锅炉效率  在线  燃烧  优化技术  开发  应用  Technology  Optimization  Combustion  Boiler  Application  耦合  机组负荷  运行工况  环保  经济  安全  寻优  遗传算法  建模
文章编号:1000-6761(2008)01-0033-03
收稿时间:2007-04-10
修稿时间:2007-06-25

Development and Application of the On-line Boiler Combustion Optimization Technology
LIANG Shao-hua,LI Qiu-bai,HUANG Lei,LU Song-lin,ZHAO Hen-bin,CEN Ke-fa. Development and Application of the On-line Boiler Combustion Optimization Technology[J]. Power Engineering, 2008, 28(1): 33-35,53
Authors:LIANG Shao-hua  LI Qiu-bai  HUANG Lei  LU Song-lin  ZHAO Hen-bin  CEN Ke-fa
Abstract:Since the optimal setpoint of boiler obtained by combustion adjusting test could not meet the requirement of the variation of coal quality and unit load, an on-line combustion optimization technology is developed. Based on continuous monitoring of flue gas components, the real-time high temperature erosion rate of furnace can be confirmed. With support vector machine, boiler efficiency and NOx emission models are build. Then by use of genetic algorithms, the safe, economical and clean operating parameters can be obtained. The application results show that the optimal setpoint obtained by this technology can adapt the variation of coal quality and unit load, improve boiler efficiency and decrease the NOx emission concentration.
Keywords:energy and power engineering   boiler   combustion optimization   flue gas components  continuous monitoring   genetic algorithms   support vector machine
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