Ammonia Injection: A Route to Clean Stacks

1974 ◽  
pp. 195-205 ◽  
Author(s):  
C. C. SHALE
Keyword(s):  
Ammonia Injection

Control of ammonia injection in SCR denitration system based on ECDMC algorithm

2021 ◽  
Author(s):  
Haowei Chen ◽  
Xinchun Jia ◽  
Pengfei Hou ◽  
Xiaobo Chi ◽  
Xiaoming Sun
Keyword(s):  
Ammonia Injection

Anhydrous Ammonia Injection into Baled Forage

1986 ◽  
Vol 2 (2) ◽  
pp. 64-69 ◽  
Author(s):  
C. A. Rotz ◽  
D. J. Sprott ◽  
R. J. Davis ◽  
J. W. Thomas
Keyword(s):  
Anhydrous Ammonia ◽  
Ammonia Injection

scholarly journals Selective Catalytic Reduction System Ammonia Injection Control Based on Deep Deterministic Policy Reinforcement Learning

2021 ◽  
Vol 9 ◽  
Author(s):  
Peiran Xie ◽  
Guangming Zhang ◽  
Yuguang Niu ◽  
Tianshu Sun
Keyword(s):  
Reinforcement Learning ◽  
Selective Catalytic Reduction ◽  
Virtual Environment ◽  
Flue Gas ◽  
Catalytic Reduction ◽  
Thermal Power ◽  
Gas Treatment ◽  
Intelligent Controller ◽  
Secondary Pollution ◽  
Ammonia Injection

The control of flue gas emission in thermal power plants has been a topic of concern. Selective catalytic reduction technology has been widely used as an effective flue gas treatment technology. However, precisely controlling the amount of ammonia injected remains a challenge. Too much ammonia not only causes secondary pollution but also corrodes the reactor equipment, while too little ammonia does not effectively reduce the NOx content. In recent years, deep reinforcement learning has achieved better results than traditional methods in decision making and control, which provides new methods for better control of selective catalytic reduction systems. The purpose of this research is to design an intelligent controller using reinforcement learning technology, which can accurately control ammonia injection, and achieve higher denitrification effect and less secondary pollution. To train the deep reinforcement learning controller, a high-precision virtual denitration environment is first constructed. In order to make the virtual environment more realistic, this virtual environment was designed as a special structure with two decoders and a unique approach was used in fitting the virtual environment. A deep deterministic policy agent is used as an intelligent controller to control the amount of injected ammonia. To make the intelligent controller more stable, the actor-critic framework and the experience pool approach were adopted. The results show that the intelligent controller can control the emissions of nitrogen oxides and ammonia at the outlet of the reactor after training in virtual environment.

Experimental Study on Optimal Adjustment of SCR Ammonia Injection for 1000 MW Coal-Fired Unit Based on Multi-field Cooperative Diagnosis

2021 ◽  
pp. 763-777
Author(s):  
Jinglong Liu ◽  
Fanjun Hou ◽  
Limeng Zhang ◽  
Chuanjun Duan ◽  
Haojie Liu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Optimal Adjustment ◽  
Ammonia Injection

scholarly journals Analysis and Discussions on the Nonuniformity Problem of SCR Denitration Equipment NOx Concentration Distribution in a 600MW Coal-fired Unit

2020 ◽  
Vol 165 ◽  
pp. 01027
Author(s):  
Xu Ketao ◽  
He Yongbing ◽  
Zhang Yang
Keyword(s):  
Flue Gas ◽  
Concentration Distribution ◽  
Influence Factors ◽  
Stable Operation ◽  
Gas Velocity ◽  
Ash Deposit ◽  
Valve Opening ◽  
Combined Action ◽  
Solution Formulation ◽  
Ammonia Injection

Combining with an engineering example, from the aspects of SCR inlet NOx concentration distribution, flue gas velocity uniformity, ammonia injection valve opening, ash deposit, abrasion and flue arrangement, the uniformity problem of SCR denitration equipment outlet NOx concentration distribution is analyzed and discussed in a 660MW coal-fired unit. The results show that the uneven distribution of NOx concentration is caused by the combined action of many factors. In the cause analysis and solution formulation, the influence factors need be overall consideration. By adjusting the ammonia injection valve opening, the uniformity of SCR outlet NOx concentration increases by about 30%, the performance of SCR denitration equipment is obviously improved. At the same time, rationalization proposals and solution measures for the improvement of outlet concentration uniformity are given in order to ensure the safe and stable operation of denitration equipment.

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