The study of control of carbon content in fly ash in ultra-supercritical opposed boiler basing on non-linear method

Author

Jianchen Hu ; Kaihua Xu ; Dingping Liu

Author_Institution

Topkey Power Tech. Dev. Co. Ltd., Guangzhou, China

fYear

2011

fDate

16-18 April 2011

Firstpage

1848

Lastpage

1851

Abstract

High carbon content in fly ash seriously affects boiler´s economical operation. Due to supercritical boiler´s high thermal capacity, the inertia of thermal parameter reflecting combustion is bigger. It is especially important to well control carbon content in fly ash during operation. In this article, based on the analyzing influence factors to the carbon content in Fly Ash, the Least Square Support Vector Machine (LSSVM) is applied to build the Control model of carbon content in fly ash. Also Genetic Algorithm (GA) is used to optimize the model under different operating conditions. The optimized secondary air distribution opening adjustment is obtained, which have guiding function in boiler´s site operation.

Keywords

air pollution control; boilers; fly ash; genetic algorithms; power engineering computing; support vector machines; carbon content control; fly ash; genetic algorithm; least square support vector machine; nonlinear method; ultrasupercritical opposed boiler; Atmospheric modeling; Boilers; Carbon; Coal; Combustion; Fly ash; Gallium; GA; LSSVM; Opposed boiler; carbon content in fly ash;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5769210

Filename

5769210