A novel plugged tube detection and identification approach for final super heater in thermal power plant using principal component analysis

• Published in: Energy (Oxford) Vol. 126; pp. 404 - 418
• Main Authors: Yu, Jungwon, Yoo, Jaeyeong, Jang, Jaeyel, Park, June Ho, Kim, Sungshin
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01-05-2017; Elsevier BV
• Subjects: Blowing; Boiler tubes; Boiler water; Boilers; Damage prevention; Data collection; Electric power plants; Failure; Final super heater; Follicle-stimulating hormone; Furnaces; Leaks; Overheating; Plugged tube detection and identification; Plugging; Power efficiency; Power plants; Principal component analysis; Principal components analysis; Steam electric power generation; Studies; Temperature; Temperature effects; Thermal energy; Thermal power; Thermal power plant; Thermocouples; Thermoelectricity; Final super heater; Thermal power plant; Plugged tube detection and identification; Principal component analysis
• ISSN: 0360-5442; 1873-6785
• DOI: 10.1016/j.energy.2017.02.154

During startup or normal operations, tube monitoring systems for steam boilers can considerably improve efficiency and reliability in thermal power plants (TPPs). Although several attempts have been made to detect and locate boiler tube leaks, what seems to be lacking is the study for tube plugging, one of the fundamental causes of the leaks and other tube failures. Scale and deposit formations on inner surfaces of tubes cause the tubes to be plugged. Although the formations can be suppressed and removed by chemical treatments for boiler water and steam blowing during startup procedures, it is still difficult to monitor and prevent tube plugging during startup or normal operations. In this paper, a novel plugged tube detection and identification approach is proposed for final super heater (FSH) tube banks. Principal component analysis is applied to tube temperature data for plugging detection and identification. The data are collected from thermocouples installed on the FSH outlet header section. To identify plugged tubes, contribution analysis and the characteristics of plugged tube temperatures are employed. To verify the performance of the proposed method, tube temperature data from an 870 MW supercritical coal-fired TPP are used. The experiment results show that the proposed method can successfully detect and identify plugged tubes. The proposed method can help to decide how many times steam blowing should be performed, whether startup procedures should be delayed or stopped, and which tubes should be maintained. Furthermore, severe tube failures can be prevented by avoiding damage from overheating due to tube plugging.
•A novel plugged tube detection and identification approach is proposed.•The proposed method is for final super heater tube banks in thermal power plants.•Principal component analysis is applied to tube temperature data.•The method can support decision-making processes during startups.•The method can also prevent severe tube failures due to tube plugging.