Model updating method for on-line boiler combustion optimization

The invention relates to a method for updating a boiler on-line combustion optimization model. The method utilizes the data exceeding the predictive error limit of an exit model to build a new model, then utilizes combustion data of a boiler and an optimization algorithm to find an optimum new model...

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Bibliographic Details
Main Authors WANG CHUNLIN, WANG JIANZHONG, XUE ANKE, ZHANG RIDONG, GE MING
Format Patent
LanguageChinese
English
Published 11.08.2010
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Summary:The invention relates to a method for updating a boiler on-line combustion optimization model. The method utilizes the data exceeding the predictive error limit of an exit model to build a new model, then utilizes combustion data of a boiler and an optimization algorithm to find an optimum new model and the weight coefficient of the existing model, and utilizes an optimum weight coefficient to combine the new model with the existing model so as to predict the working conditions of a new boiler for realizing model update. The invention overcomes the defects that the traditional update method gives up the existing model and can not utilize the study result of the existing model to fully utilize the study result of the existing model, thereby greatly reducing the amount and the time of the calculation work of model update.
Bibliography:Application Number: CN2009196410