The Artificial Neural Network On-Line Monitoring Model of Boiler Efficiency

Abstract:

When adjusting the borler combustion, the borler efficiency need to be constantly monitored.The traditional method of calculating boiler efficiency is complex.Based on the heat balance method,the main factors of influencing boiler efficiency was analysed deeply and the artificial neural network on-line monitoring model of boiler efficiency was established to predict boiler efficiency accurately and constantly in this paper. After precise analysis and tracking, the input variable for the artificial neural network on-line monitoring model of boiler efficiency was selected, so as to avoid larger error caused by the rough selection of input variable in the previous artificial neural network. At last,based on a 600MW boiler,the borler efficiency was predicted in this paper.we can easily know from the prediction result that the artificial neural network on-line monitoring model of boiler efficiency can predict the boiler efficiency accurately and constantly at a wide range condition.

• Periodical: Advanced Materials Research (Volume 773)
• Pages: 239-243
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.773.239
• Online since: September 2013
• Authors: Xin Dai, Bin Yang, Ya Feng Zhong, Yong Hong Guo
• Keywords: Artificial Neural Network (ANN), Boiler Efficiency, Borler Combustion, Efficiency Prediction

References

[1] Ji Shitao. Matlab used in boiler efficiency, China science and technology information 9th2012.

[2] Fan Quangui. Boiler principle [M]. Beijing: China power press, (2008).

[3] Han Liqun. Artificial neural network theory, design and application [M]. Beijing: chemical industry press. (2002).

[4] Wang ZiJie, li Jian, Sun Wanyun. Journal of north China electric power university 35th (1).

[5] Wang Peigong, Li Leilei, Chen Qiang, Dong Yihua. Proceedings of the CSEE 24th vol.