THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Huijuan Qi

,

Hongnian Wen

,

Aixue Xu

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, environ­mental and social benefits, which is worth advocating and promoting.
KEYWORDS
cogeneration system, residual heat of circulating water, intelligent control, waste heat utilization
PAPER SUBMITTED: 2022-09-07
PAPER REVISED: 2022-10-31
PAPER ACCEPTED: 2022-11-18
PUBLISHED ONLINE: 2023-03-25
DOI REFERENCE: https://doi.org/10.2298/TSCI2302241Q
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 2, PAGES [1241 - 1247]
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Artificial intelligence control system of heat recovery in thermal power plant

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence