A Novel Neural Network Based Modeling for Control of NOx Emission in Power Plant

Ping Kang Li; Rui Pan; Chen Chen

doi:10.4028/www.scientific.net/AMM.643.385

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A Novel Neural Network Based Modeling for Control of NO_x Emission in Power Plant
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 643A Novel Neural Network Based Modeling for Control...

A Novel Neural Network Based Modeling for Control of NO_x Emission in Power Plant

Abstract:

A novel neural network based modeling for non-linear model identification technique is proposed. It combines a nonlinear steady state model with a linear one, to describe the disturbance and dynamics in the coal-fired power plant. The modeling and training algorithm is used to develop a model of nitrogen oxides (NOx) emitted from the process where one-step ahead optimal prediction formula are developed. Two cases show that the resulting model provides a better prediction of NOx and fitting capabilities.

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Periodical:

Applied Mechanics and Materials (Volume 643)

Pages:

385-390

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.643.385

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Online since:

September 2014

Authors:

Ping Kang Li*, Rui Pan, Chen Chen

Keywords:

Modeling, Neural Network (NN), NO_x Emission, Training Algorithm

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* - Corresponding Author

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