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Application of Reversed Modeling in the Measurement of the Power Plant Unburned Carbon in Fly Ash

[+] Author Affiliations
Zhongguang Fu, Tao Jin, Guoqiang Yang

North China Electric Power University, Beijing, China

Paper No. IMECE2010-37359, pp. 197-201; 5 pages
doi:10.1115/IMECE2010-37359
From:
  • ASME 2010 International Mechanical Engineering Congress and Exposition
  • Volume 5: Energy Systems Analysis, Thermodynamics and Sustainability; NanoEngineering for Energy; Engineering to Address Climate Change, Parts A and B
  • Vancouver, British Columbia, Canada, November 12–18, 2010
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4429-8
  • Copyright © 2010 by ASME

abstract

In the paper, the research on reversed modeling method and its application with operation data of power plant is presented with the consideration of nonlinear and multiple coupling characteristics of thermal system in large capacity of power plant. The paper focus on the partial least-squares regression and artificial neural networks method which were studied based on data-driven model. The PLS-ANN coupling model was proposed. The paper aimed at modeling of unburned carbon in fly ash occurred in the operation of power generating units. Finally, the unburned carbon in fly ash model based on PLS regression and ANN method was built under the consideration of the advantages of the above models. The simulation results indicated that the presented coupling model is good at the model of non-linear system with the characteristics of higher computing speed as well as high precision. By presented model, the analysis of the impact of the unburned carbon in fly ash could be carried out in consideration of the changes of operating parameters as well as coal quality. The model could also be expected to be used in guiding of the optimal operation of power plant boiler.

Copyright © 2010 by ASME

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