Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques

The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions....

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Veröffentlicht in:IEEE transactions on instrumentation and measurement 2014-04, Vol.63 (4), p.953-963
Hauptverfasser: Han, Xiaojuan, Yan, Yong, Cheng, Cheng, Chen, Yueyan, Zhu, Yanglin
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container_title IEEE transactions on instrumentation and measurement
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creator Han, Xiaojuan
Yan, Yong
Cheng, Cheng
Chen, Yueyan
Zhu, Yanglin
description The accurate measurement of oxygen content in the flue gas at a coal-fired power plant is important for the plant operators to realize closed-loop and optimal control. In this paper, eight zirconium oxygen analyzers were used to measure the oxygen content in the flue gas under real plant conditions. A cloud model is incorporated into the measurement system. In consideration of the temporal and spatial characteristics of the oxygen sensors, a quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in the flue gas is calculated using mean value, space fusion, and space-time fusion methods, respectively. The temperatures of both flue gas and cold air are also measured to calculate the heat loss of the flue gas and the combustion efficiency of the boiler. On-plant demonstration results show that the proposed method produces more accurate measurements than those from the mean value method, leading to increased combustion efficiency and reduced heat loss.
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subjects Cloud model
Clouds
Coal-fired power plants
Combustion
combustion efficiency
Flue gas
Generators
heat loss
Numerical models
oxygen content
Sensors
space fusion
space-time fusion
Temperature measurement
Zirconium
title Monitoring of Oxygen Content in the Flue Gas at a Coal-Fired Power Plant Using Cloud Modeling Techniques
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