Application of Energy Saving and Consumption Reduction Technology in Power Plant Boiler Operation

2021 ◽  
Keyword(s):  
Power Plant ◽  
Energy Saving ◽  
Consumption Reduction ◽  
Power Plant Boiler ◽  
Boiler Operation ◽  
Plant Boiler

Power Plant Boiler Failure Analysis of Main Components

2014 ◽  
Vol 945-949 ◽  
pp. 1073-1076 ◽  
Author(s):  
Hong Liang Xia
Keyword(s):  
Power Plant ◽  
Failure Analysis ◽  
Analysis Method ◽  
Power Plant Boiler ◽  
Boiler Operation ◽  
Main Components ◽  
Power Station Boiler ◽  
Failure Types ◽  
Plant Boiler

This paper briefly introduces the basic condition of power station boiler operation and failure analysis of the necessity of power plant boiler failure types and main components of power plant boiler failure types of main components. Illustrates the failure analysis of the main analysis method, and introduces the failure analysis of the role of failure analysis.

Soft Measuring Model Based on CMAC Artificial Neural Network for Pollutants Release from Coal Combusting in Power Plant Boiler

2012 ◽  
Vol 518-523 ◽  
pp. 2192-2195
Author(s):  
Yong Zheng Wang ◽  
Lei Jiang ◽  
Sheng Xue Chen ◽  
Chun Mei Lu
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Power Plant ◽  
Pollutant Emission ◽  
Power Plant Boiler ◽  
Boiler Operation ◽  
Pollutants Emission ◽  
On Line ◽  
Artificial Neural ◽  
Plant Boiler

The soft measuring model, for pollutants release from coal combusting in power plant boiler, was combined with the test data obtained from boiler operation, established on the basis of technology for CMAC artificial neural network, and adopted the hyper CMAC structure and algorithm. The characteristic data about coal quality from boiler operation and combusting conditions in the furnace were took as its input parameters, to achieve precise prediction and on-line measurement of concentration of sulfur and nitrogen pollutant emission. It was effective to guide operator in the power plant to optimize combustion and control pollutants emission.

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