Paper Title:
Soft-Sensing Technology in the Combustion Optimization for Power Plant
  Abstract

Aiming at the requirements of saving energy and reducing emission on power plant, NOx emission model was built by SVM ,an effective learning tool, based on the analysis of the emission characteristics, and ACO was applied to optimize the model parameters. The model was tested on a 660MW power plant ,and the result indicated that SVM was a good tool for building emission model and had better generalization ability and higher calculation speed comparing with BP modeling approaches.

  Info
Periodical
Advanced Materials Research (Volumes 179-180)
Edited by
Garry Zhu
Pages
859-864
DOI
10.4028/www.scientific.net/AMR.179-180.859
Citation
B. L. Liu, Z. Xuan, "Soft-Sensing Technology in the Combustion Optimization for Power Plant", Advanced Materials Research, Vols. 179-180, pp. 859-864, 2011
Online since
January 2011
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Price
$32.00
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