Artificial intelligence control system of heat recovery in thermal power plant

Abstract

In order to improve the comprehensive utilization rate of energy in power plants, the author puts forward the research of artificial intelligence control system for heat and power plant waste heat recovery. In the heating system of waste heat recovery, intelligent time-sharing and zoning control is set according to user needs, which enables the heating system to adjust the temperature of heating water outlet in real time according to the dynamic change of outdoor climate, in the heating system of waste heat recovery, intelligent time-sharing and zoning control is set according to user needs, which enables the heating system to adjust the temperature of heating water outlet in real time according to the dynamic change of outdoor climate. The results show that the energy saving rate of time-sharing heating increases with the increase of outdoor temperature, when the outdoor temperature is 8?C, the energy saving rate is 0.35, in addition, the energy saving rate of the heating system is not only related to the outdoor temperature, but also to the length of the intermittent period, it is obvious that the longer the intermittent period is, the higher the energy saving rate is. In conclusion, the application of time division temperature control technology in the heating system greatly improves the energy saving effect of buildings, saves energy, and has extremely high economic, environ?mental and social benefits, which is worth advocating and promoting.