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New optimization method for ammonia/NOx dual control
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Bohang LI1, Zhimin LU1, 2, 3, Yongjin LIAO4, Debo LI4, Zili XIE1, Xiang ZHANG5, Shunchun YAO1, 2, 3
Thermal Power Generation | 2023, 52(11) : 150 - 158
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Thermal Power Generation | 2023, 52(11): 150-158
Power generation technology forum
New optimization method for ammonia/NOx dual control
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Bohang LI1, Zhimin LU1, 2, 3, Yongjin LIAO4, Debo LI4, Zili XIE1, Xiang ZHANG5, Shunchun YAO1, 2, 3
Affiliations
  • 1.School of Electric Power, South China University of Technology, Guangzhou 510640, China
  • 2.Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou 510640, China
  • 3.Guangzhou Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion ,Guangzhou 510640, China
  • 4.China Southern Power Grid Power Technology Co., Ltd., Guangzhou 510030, China
  • 5.Guangdong Institute of Metrology, Guangzhou 510405, China
Published: 2023-11-25 doi: 10.19666/j.rlfd.202301005
Outline
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To solve the problems of uneven distribution of NOx concentration at the outlet and excessive ammonia escape in the actual SCR operation of power plants, the SCR DeNOx reactor was simulated numerically and a new ammonia injection optimization method for dual control of ammonia slip and nitrogen oxides emission was proposed. Taking the SCR DeNOx system of a 660 MW unit as an example, a numerical model of visual flow field and DeNOx reaction was established, and the change of the partitioned outlet NOx concentration, ammonia slip and partitioned DeNOx efficiency under different total ammonia nitrogen ratios were analyzed and compared. The results show that the relationship between partitioned DeNOx efficiency, outlet NOx and ammonia concentration, with the partitioned ammonia-nitrogen ratio is a two-parts linear relation separated by an inflection point, and the inflection point occurs when partitioned ammonia-nitrogen ratio is about 1.15. On this basis, the present study proposes a new optimization method for ammonia/nitrogen dual control optimization based on the combination of piecewise fitting function and optimization matrix equation. It is predicted that the 660 MW unit by using 5 zones and 42 nozzles for ammonia injection regulation, and the optimized total ammonia injection volume will decrease by 7.2% at the best compared with the uniform ammonia injection working condition. Relative standard deviation of outlet NOx concentration and ammonia slip volume will decrease to 9.4% and 4.2% respectively, and the outlet uniformity will be significantly improved, and there is no locally over DeNOx phenomenon.

SCR  /  DeNOx system  /  numerical simulation  /  ammonia/NOx dual control  /  NOx concentration  /  ammonia slip
Bohang LI, Zhimin LU, Yongjin LIAO, Debo LI, Zili XIE, Xiang ZHANG, Shunchun YAO. New optimization method for ammonia/NOx dual control[J]. Thermal Power Generation, 2023 , 52 (11) : 150 -158 . DOI: 10.19666/j.rlfd.202301005
  • Science and Technology Plan Project of Guangdong Province(2020A0505140001)
  • Natural Science Foundation of Guangdong Province(2022A1515010741)
Year 2023 volume 52 Issue 11
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Article Info
doi: 10.19666/j.rlfd.202301005
  • Receive Date:2023-01-12
  • Online Date:2026-01-26
  • Published:2023-11-25
Article Data
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History
  • Received:2023-01-12
Funding
Science and Technology Plan Project of Guangdong Province(2020A0505140001)
Natural Science Foundation of Guangdong Province(2022A1515010741)
Affiliations
    1.School of Electric Power, South China University of Technology, Guangzhou 510640, China
    2.Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization, Guangzhou 510640, China
    3.Guangzhou Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion ,Guangzhou 510640, China
    4.China Southern Power Grid Power Technology Co., Ltd., Guangzhou 510030, China
    5.Guangdong Institute of Metrology, Guangzhou 510405, China
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https://castjournals.cast.org.cn/joweb/rlfd/EN/10.19666/j.rlfd.202301005
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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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