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 evalua

tion 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 NO

x

emission mass concentration in the exhaust reduces from 44.5～58.3 mg/m

3

to 9.2～10.6 mg/m

3

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.