热力发电2025，Vol.54Issue(10)：149-156,8.DOI:10.19666/j.rlfd.202412256
基于数据提质的电站锅炉脱硝运行优化技术研究及应用
Research and application of data-based optimization technology for operation of denitrification system in utility boilers
摘要
Abstract
Data quality is a key factor affecting the application effectiveness of optimization models of denitrification system operation.In response to the problems of lagging and poor representativeness of monitoring parameters in denitrification system operation,a denitrification performance parameter dimension reduction technology suitable for real-time performance monitoring is developed.The utilization rate of reducing agents that can reflect the denitrification ability of the denitrification system itself is set as the monitoring and evaluation parameter for denitrification system operation status,to improve the efficiency of data generation.Based on this,an optimization method for denitrification system operation that can eliminate adjustment delays is established,and an identification technology for typical abnormalities in denitrification system operation is constructed to guide the economic,safe,stable,and standard operation of the denitrification system.This technology has been implemented and applied in a 1 000 MW coal-fired unit at different loads.The results show that,the denitrification system operation guided by the utilization rate of reducing agents reduces the unit consumption of urea solution by 1.5%～8.4%and the ammonia escape at the denitrification system outlet by 10.7%～27.0%,and all of the ammonia escape at different loads meets the general control value of ammonia escape rate.The variation range of NOx emission mass concentration in the exhaust reduces from 44.5～58.3 mg/m3 to 9.2～10.6 mg/m3,and the distribution deviation significantly decreases from 59.2%～75.2%to 21.4%～25.1%,which is more conducive to the automatic and stable control of the denitrification system.关键词
烟气脱硝/优化运行/数据提质/状态感知/智能诊断Key words
flue gas denitrification/optimization operation/data quality improvement/state perception/intelligent diagnosis引用本文复制引用
姜龙,李金晶,姚宣,黄中,杨雪婷,诸育枫,宋云畅,李媛园..基于数据提质的电站锅炉脱硝运行优化技术研究及应用[J].热力发电,2025,54(10):149-156,8.基金项目
国家重点研发计划项目(2022YFB4100303)National Key Research and Development Program(2022YFB4100303) （2022YFB4100303）
