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

Content Provider	IEEE Xplore Digital Library
Author	Jianchen Hu Kaihua Xu Dingping Liu
Copyright Year	2011
Description	Author affiliation: Sch. of Electr. Power, SCUT, Guangzhou, China (Kaihua Xu; Dingping Liu) \|\| Topkey Power Tech. Dev. Co. Ltd., Guangzhou, China (Jianchen Hu)
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.
Starting Page	1848
Ending Page	1851
File Size	311928
Page Count	4
File Format	PDF
ISBN	9781612844589
e-ISBN	9781612844596
DOI	10.1109/CECNET.2011.5769210
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fly ash Gallium Opposed boiler Atmospheric modeling LSSVM Coal Boilers Combustion GA Carbon Carbon content in fly ash
Content Type	Text
Resource Type	Article

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