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

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


Abstract:

In this paper, through the systematic analysis of coal blending, boiler combustion, and steam turbine sliding pressure operation, the fuzzy mathematical technical model o...Show More

Abstract:

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%.
Date of Conference: 28-30 April 2022
Date Added to IEEE Xplore: 24 May 2022
ISBN Information:
Conference Location: Tirunelveli, India

I. Introduction

With the rapid development of my country's economy, the use of energy is increasing, and the use of electric energy is increasing day by day. According to statistics from the Ministry of Industry Development and Environment and Resources of the China Electricity Council, my country's total electricity consumption from January to October 2017 was 5,201.8 billion kWh, a year-on-year increase of 6.7%. According to statistics, my country is one of the countries with the most thermal power coal-fired units in the world, and coal consumption (thermal coal) in the power industry accounts for more than 50% of total coal consumption. Therefore, there are two urgent problems for thermal power generation: one is to improve the operating effieiency of the unit and reduce the coal consumption of the unit; the other is to effectively reduce the harmful gas emissions during the coal combustion process [1]–[6].

References

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