基于吹灰器敏感性分析的电站锅炉吹灰策略优化  

Optimization of Utility Boiler Soot-Blowing Strategy Based on Soot-Blower Sensitivity Analysis

作　　者：梅海龙 蒲靖凡 周林 虞兵 张林 谭鹏[2] MEI Hailong;PU Jingfan;ZHOU Lin;YU Bing;ZHANG Lin;TAN Peng(Godian Hanchuan Power Generation Co.,Ltd.,Xiaogan 431616,China;State Key Laboratory of Coal Combustion,Huazhong University of Science and Technology,Wuhan 430074,China)

机构地区：[1]国电汉川发电有限公司,湖北孝感431616 [2]华中科技大学能源与动力工程学院煤燃烧国家重点实验室,湖北武汉430074

出　　处：《湖南电力》2022年第2期1-4,10,共5页Hunan Electric Power

基　　金：中央高校基本科研业务费资助(HUST:2020kfyXJJS030)。

摘　　要：以某1000 MW超超临界燃煤锅炉为研究对象,利用其历史运行数据,通过数据挖掘方法对该锅炉吹灰器敏感性进行了分析。结果表明,各受热面吹灰器敏感性存在不同程度的差异。基于敏感性分析,对各受热面吹灰策略进行了优化,提高了机组的吹灰有效性和经济性。This paper takes a 1000 MW ultra-supercritical coal-fired boiler as the research object,uses its historical operation data to analyze the sensitivity of the soot blower of the thermal power units based on data mining.The results show that there are different degrees of soot blower sensitivity difference on each heating surface.Based on the sensitivity analysis,the corresponding soot blowing strategies are optimized for different heating surfaces,which is helpful to improve the efficiency and economy of the units.

关 键 词：燃煤锅炉 数据挖掘 吹灰优化 敏感性分析 

分 类 号：TK223.27[动力工程及工程热物理—动力机械及工程]