Prediction Model of Coal-Fired Power Plant Boiler's Nitrogen Oxide Emissions Based on Elman Neural Network

Ying Chen; Zhong Guang Fu; Xiao Hang Lv

doi:10.4028/www.scientific.net/AMR.807-809.227

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 807-809Prediction Model of Coal-Fired Power Plant...

Prediction Model of Coal-Fired Power Plant Boiler's Nitrogen Oxide Emissions Based on Elman Neural Network

Abstract:

Nitrogen oxides are dangerous toxic pollutants to human health and the atmospheric environment.^[ Boilers NOx emissions as a major source of energy conservation is the most important task. The generation principles and influencing factors of coal-fired power plant boilers NOx were discussed. The current mechanism modeling had limitations and shortcomings, by studying reversed modelings and artificial neural network theory, Elman neural network was used to build the prediction model of coal-fired boilers NOx emissions. By comparing the predicted results with the true results, the convergence speed and accuracy of the method are both satisfactory to provide reference and guidance, and it provides new ideas and new ways for thermal power NOx measurements.

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Periodical:

Advanced Materials Research (Volumes 807-809)

Pages:

227-231

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.807-809.227

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Online since:

September 2013

Authors:

Ying Chen, Zhong Guang Fu, Xiao Hang Lv

Keywords:

Elman Neural Network (ENN), Influencing Factor, Nitrogen Oxides, Reverse Modeling

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