DocumentCode :
475930
Title :
Sensitive analysis of energy consumption of operating parameters for coal-fired unit
Author :
Wang, Hui-Jie ; Zhang, Chun-Fa ; Zhao, Ning ; Song, Zhi-Ping
Author_Institution :
Key Lab. of Condition Monitoring & Control for Power Plant Equip., Minist. of Educ., Baoding
Volume :
1
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
331
Lastpage :
336
Abstract :
Due to the complexity of thermodynamic system and variability of boundary condition, the striking non-linear relationship exits between the operating parameters and the energy consumption. At present, the research of quantitatively analyzing the problem under systematic variable work conditions is lack of effective method. Based on deep research on the problem, the concept of sensitive factors of the energy consumption of operating parameters was put forward. Furthermore, by the application of analytic models to the whole thermal system under variable work conditions and adoption of the state space theory, the topological relation between the parameters of the measuring points and the energy consumption was established. Then the non-liner analysis problem on the complex thermodynamic system under multi-boundary conditions can be availably solved. With analysis to the possible work conditions of different units, curves of the sensitive factors of energy consumption of all parameters are obtained. Through utilizing the probability density functions of load distribution, the total sensitive factor of energy consumption was defined. And the sequences of all operating parameterspsila sensitive factors of different units are obtained through calculation.
Keywords :
power consumption; probability; sensitivity analysis; state-space methods; steam power stations; thermodynamics; coal-fired unit; complex thermodynamic system; energy consumption; multiboundary conditions; nonlinear relationship; operating parameters; sensitive analysis; systematic variable work conditions; thermal system; thermodynamic system; Boundary conditions; Condition monitoring; Cybernetics; Energy consumption; Energy measurement; Equations; Machine learning; Power generation; State-space methods; Thermodynamics; Energy Consumption; Probability Density; Redundant Technology; Sensitive Analysis; State Space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620426
Filename :
4620426
Link To Document :
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