Prediction of Pollution State of Heating Surface in Coal-Fired Utility Boilers

被引：7
|
作者：
Li, Qiang [1 ]
Yan, Peigang [1 ]
Liu, Jinfu [1 ]
Shi, Yuanhao [2 ]
Yu, Daren [1 ]
机构：
[1] Harbin Inst Technol, Sch Energy Sci & Engn, Harbin 150001, Peoples R China
[2] North Univ China, Sch Elect & Control Engn, Taiyuan 030051, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷 / 08期
关键词：
Boilers; Surface contamination; Heat transfer; Heating systems; Thermal pollution; Monitoring; Metals; Boiler heating surface; fouling rate; fitting; difference; prediction; SOOT-BLOWING OPTIMIZATION;
D O I：
10.1109/ACCESS.2020.3036840
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a method to predict the cleaning state of the boiler heating surface. In this method, firstly, the historical fouling rate data is decomposed into two parts: fitting curve data and the difference between original data and the fitting curve. Then, combined with the real-time fouling rate data, the prediction model is established. Finally, the method is verified by the actual operation data of a 300 MW coal-fired power station boiler. The method does not need additional special instruments or a complex calculation system but can use the existing monitoring data to realize the dirt monitoring and soot blowing optimization of the economizer, which has a certain guiding role for the soot blowing operation of the coal-fired power plant.
引用
收藏
页码：206132 / 206145
页数：14
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