Analysis of the Related Problems of Centralized Control Operation Technology in Thermal Power Plant

2021 ◽  
Keyword(s):  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Centralized Control ◽  
Control Operation

scholarly journals The Study of the Design of Closed Coal Yard in Thermal Power Plant

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Guo Rui
Keyword(s):  
Power Generation ◽  
Power Plant ◽  
Thermal Power Plant ◽  
Thermal Power ◽  
Control Program ◽  
Structure Design ◽  
Utilization Rate ◽  
Centralized Control ◽  
Primary Power ◽  
Thermal Power Generation

<p>In China, there are many ways to generate electricity. Thermal power is used as the main way to generate electricity. Typically, thermal power mainly uses coal as primary power source, therefore it is often necessary to have a coal storage. Currently a closed coal yard if compared to others coal storage building: its construction taken up small area, it has large storage capacity per unit area, it has high site utilization rate, it has no dust during storage and discard process, environmental friendly, centralized control program is used in the coal field system, high degree of automation, can be unattended and others advantages are increasingly being adopted. The structure design of a closed coal yard has a crucial role in the efficiency of the entire thermal power generation. Therefore, a reasonable design is of closed coal yard is necessary in thermal power generation. This paper will focus on the study of the design of closed coal yard in thermal power plant.</p>

Nonlinear Trend Analysis of Mill Fan System Vibrations for Predictive Maintenance and Diagnostics

2012 ◽  
Vol 58 (4) ◽  
pp. 351-356
Author(s):  
Mincho B. Hadjiski ◽  
Lyubka A. Doukovska ◽  
Stefan L. Kojnov
Keyword(s):  
Power Plant ◽  
Trend Analysis ◽  
Thermal Power Plant ◽  
Power Plants ◽  
Thermal Power ◽  
Balkan Peninsula ◽  
Predictive Maintenance ◽  
Nonlinear Trend ◽  
The Subject ◽  
The Given

Abstract Present paper considers nonlinear trend analysis for diagnostics and predictive maintenance. The subject is a device from Maritsa East 2 thermal power plant a mill fan. The choice of the given power plant is not occasional. This is the largest thermal power plant on the Balkan Peninsula. Mill fans are main part of the fuel preparation in the coal fired power plants. The possibility to predict eventual damages or wear out without switching off the device is significant for providing faultless and reliable work avoiding the losses caused by planned maintenance. This paper addresses the needs of the Maritsa East 2 Complex aiming to improve the ecological parameters of the electro energy production process.

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