学术
锅炉在线燃烧优化技术的开发及应用
梁绍华[1,2] 李秋白[3] 黄磊[2] 鲁松林[2] 赵恒斌[3] 岑可法[1]
[1]浙江大学热能研究所,杭州310027 [2]江苏省电力试验研究院有限公司,南京210036 [3]中国国电集团谏壁发电厂,镇江212006
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NOx排放浓度．[著者文摘]
文章出处:
《动力工程》-2008年28卷1期,53 -33-35,53页
栏目信息:
分 类 号:
文献标识码:
A
文章编号:
1000-6761（2008）01-0033-03
Development and Application of the On-line Boiler Combustion Optimization Technology
LIANG Shao-hua , LI Qiu-bai, HUANG Lei, LUSong-lin,ZHAO Hen-bin, CEN Ke-fa（1. Institute of Thermal Engineering, Zhejiang University, Hangzhou 310027, China 2. Jiangsu Province Electric Power Research Institute, Nanjing 210036, China; 3. Guodian Jianbi Electric Power Plant, Zhenjiang 212006,China）
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.[著者文摘]
Key words:
energy and power engineering; boiler; combustion optimization; flue gas components;continuous monitoring; genetic algorithms; support vector machine
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