Affiliation:
1. Shijiazhuang Institute of Railway Technology, Shijiazhuang, Hebei, China
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.
Publisher
National Library of Serbia
Subject
Renewable Energy, Sustainability and the Environment
Reference14 articles.
1. Sun, L., et al., Sustainable Residential Micro-Cogeneration System Based on a Fuel Cell Using Dynamic Programming-Based Economic Day-Ahead Scheduling, ACS Sustainable Chemistry and Engineering, 9 (2021), 8, pp. 3258-3266
2. Norouzi, N., et al., Cogeneration system of power, cooling, and hydrogen from geothermal energy: an exergy approach, Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 41 (2022), 2, pp. 706-721
3. Asgari, A., et al., Exergy and exergoeconomic analyses and multi-objective optimization of a novel cogeneration system for hydrogen and cooling production, International Journal of Hydrogen Energy, 47 (2022), 62, pp. 26114-26134.
4. Pan, P., et al., Performance evaluation of an improved biomass-fired cogeneration system simultaneously using extraction steam, Cooling Water, and Feedwater for Heating, 16 (2022), 2, 15
5. Chan, A. H. S., Policy Implications for Promoting the Adoption of Cogeneration Systems in the Hotel Industry: An Extension of the Technology Acceptance Mode, Buildings, 12 (2022), 13, pp. 19560-19573