Artificial Intelligence based Energy-Saving Prediction System for Waste Heat Utilization of Flue Gas from Coal-Fired Power Plants

In this paper, through the systematic analysis of coal blending, boiler combustion, and steam turbine sliding pressure operation, the fuzzy mathematical technical model of coal blending, the boiler combustion optimization control model based on artificial intelligence technology and the optimized op...

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Bibliographic Details
Published in2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) pp. 996 - 999
Main Author Wang, Lifa
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.04.2022
Subjects
Artificial intelligence
Boilers
Coal
Coal-Fired Power Plants
Combustion
Energy-Saving
Mathematical models
Software
Waste heat
Waste Heat Utilization
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Summary:In this paper, through the systematic analysis of coal blending, boiler combustion, and steam turbine sliding pressure operation, the fuzzy mathematical technical model of coal blending, the boiler combustion optimization control model based on artificial intelligence technology and the optimized operation of steam turbine based on sliding pressure operation are established. Model. At the same time, the powerful flue gas waste heat utilization energy-saving technology is used to integrate the above optimization models to construct the optimized operation technology of the main equipment. At the same time, the immune tabu search technology is used for optimization calculations to obtain the operating cost of the unit's power generation and provide auxiliary decision-making for production management. Basis, efficiency increased by 7.63%.
DOI:10.1109/ICOEI53556.2022.9776674