The basic principle of SCR technology is to reduce nitrogen oxides to nitrogen and oxygen by spraying a reductant such as ammonia in the flue gas denitrification reactor. Selective catalytic reduction technology (SCR) is widely used as an efficient denitrification method. Among the many pollutants, nitrogen oxides (NOx) have attracted the attention of many scholars because they are highly associated with many serious environmental threats, such as acid rain and photochemical smog. In recent years, with the awakening of people’s awareness of environmental protection and increasingly strict environmental protection policies and regulations, pollutant emission control has become an urgent issue for thermal power plants. In China, thermal power generation is still the main way of generating electricity ( Tang et al., 2018). 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. To make the intelligent controller more stable, the actor-critic framework and the experience pool approach were adopted. A deep deterministic policy agent is used as an intelligent controller to control the amount of injected ammonia. 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. To train the deep reinforcement learning controller, a high-precision virtual denitration environment is first constructed. 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. 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.
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.
However, precisely controlling the amount of ammonia injected remains a challenge. Selective catalytic reduction technology has been widely used as an effective flue gas treatment technology. The control of flue gas emission in thermal power plants has been a topic of concern.
0 kommentar(er)
