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A Modeling Method for Combustion Optimization of Biomass Furnace

A biomass furnace, combustion optimization technology, applied in special data processing applications, instruments, sustainable manufacturing/processing, etc.

Active Publication Date: 2015-11-11
灌南海霞花卉有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In practice, the combustion optimization of the biomass furnace is mainly based on the experience of the staff, often just to maintain the combustion of the biomass furnace, so there is still a lot of room for improvement in the parameter configuration in actual operation

Method used

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  • A Modeling Method for Combustion Optimization of Biomass Furnace

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Embodiment Construction

[0044] A modeling method for biomass furnace combustion optimization, the specific steps are:

[0045] (1). Collect the operating parameters of the biomass furnace and related characteristic indicators representing the combustion state of the biomass furnace, and establish a database; the specific operating parameters of the biomass furnace are obtained through the real-time operation database of the biomass furnace, or directly measured and collected through instruments and equipment. Generally, the types of biomass fuels used in biomass furnaces are limited (the sources and industrial analysis data are different), so for a given biomass furnace, n (n≥1) different biomass fuels can be used (the number of biomass fuels Different raw materials and sources), different types of fuels should collect data separately for targeted modeling.

[0046] The operating parameter data of the biomass furnace includes: the industrial analysis index of the biomass fuel, the primary wind speed,...

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Abstract

The invention relates to a modeling method for combustion optimization of a biomass furnace. The method disclosed by the invention comprises the steps of: firstly, collecting an operation parameter of the biomass furnace and related characteristic indexes representing a combustion state of the biomass furnace, and building a database; then building a combustion model as to different fuels by a least squares support vector machine and a radial basis function neural network; determining the combination ratio of the least squares support vector machine and the radial basis function neural network; and combining the least squares support vector machine with the radial basis function neural network according to the determined optimal proportion coefficient to form a combination model, modeling as to other biomass fuels of the given biomass furnace, and combining combustion optimization models of different biomass fuels together to form an overall model for combination optimization of the biomass furnace. According to the method disclosed by the invention, the actual requirements of fuel change and finite change of fuel type in combustion optimization of the biomass furnace are met, and the accuracy and the feasibility of combustion optimization of the biomass furnace are guaranteed.

Description

technical field [0001] The invention belongs to the technical field of information control and relates to a modeling method for combustion optimization of a biomass furnace. Background technique [0002] The combustion optimization method of the biomass furnace is an important technical means for energy saving and emission reduction. Operating status of polluting emissions. The collocation of the air distribution parameters of the biomass furnace has a direct impact on the combustion state of the biomass furnace. Different configurations of operating parameters such as air distribution and oxygen content will directly lead to different combustion efficiencies and emissions of polluting gases. For a given biomass furnace, under certain load conditions, there is an optimal air distribution scheme for different combustion state characteristic indicators, which can optimize the corresponding combustion state characteristic indicators. However, the biomass furnace’s There is a ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCY02P80/20
Inventor 王春林王建中杨慧敏钟哲科刘俊
Owner 灌南海霞花卉有限公司
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