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Research and application of data-based optimization technology for operation of denitrification system in utility boilers
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Long JIANG1, Jinjing LI1, Xuan YAO2, Zhong HUANG3, Xueting YANG1, Yufeng ZHU4, Yunchang SONG1, Yuanyuan LI1
Thermal Power Generation | 2025, 54(10) : 149 - 156
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Thermal Power Generation | 2025, 54(10): 149-156
Power generation technology forum
Research and application of data-based optimization technology for operation of denitrification system in utility boilers
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Long JIANG1, Jinjing LI1, Xuan YAO2, Zhong HUANG3, Xueting YANG1, Yufeng ZHU4, Yunchang SONG1, Yuanyuan LI1
Affiliations
  • 1.North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
  • 2.China Energy Longyuan Environmental Protection Co., Ltd., Beijing 100036, China
  • 3.Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
  • 4.Shanghai Boiler Works Co., Ltd., Shanghai 200245, China
Published: 2025-10-25 doi: 10.19666/j.rlfd.202412256
Outline
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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.

flue gas denitrification  /  optimization operation  /  data quality improvement  /  state perception  /  intelligent diagnosis
Long JIANG, Jinjing LI, Xuan YAO, Zhong HUANG, Xueting YANG, Yufeng ZHU, Yunchang SONG, Yuanyuan LI. Research and application of data-based optimization technology for operation of denitrification system in utility boilers[J]. Thermal Power Generation, 2025 , 54 (10) : 149 -156 . DOI: 10.19666/j.rlfd.202412256
  • National Key Research and Development Program(2022YFB4100303)
Year 2025 volume 54 Issue 10
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Article Info
doi: 10.19666/j.rlfd.202412256
  • Receive Date:2024-12-05
  • Online Date:2026-03-05
  • Published:2025-10-25
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History
  • Received:2024-12-05
Funding
National Key Research and Development Program(2022YFB4100303)
Affiliations
    1.North China Electric Power Research Institute Co., Ltd., Beijing 100045, China
    2.China Energy Longyuan Environmental Protection Co., Ltd., Beijing 100036, China
    3.Department of Energy and Power Engineering, Tsinghua University, Beijing 100084, China
    4.Shanghai Boiler Works Co., Ltd., Shanghai 200245, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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