Method for optimizing combustion of biomass furnace

Abstract

The invention relates to a method for optimizing combustion of a biomass furnace. At present, the online optimization can not be carried out according to the real-time change condition of the combustion of the biomass furnace. The method comprises the steps of: firstly collecting operating parameters of the biomass furnace and relevant characteristic indexes characterizing a combustion state of the biomass furnace, and establishing a database; secondly, selecting data as modeling data aiming at the given biomass furnace, wherein the data comprises conditions of feeding speeds of different biomass fuels; modeling aiming at the modeling data by adopting a least square support vector machine method, establishing a model between the characteristic indexes of the combusting state of the biomass furnace and each operating parameter of the furnace, and by using an ant colony optimization algorithm and combining with the established model, optimizing the configuration of the combusting parameters of the biomass furnace aiming at biomass fuel corresponding to the model and combusting characteristic indexes or index combination of combusting states of different biomass furnaces. According to the method provided by the invention, the optimizing efficiency and the comprehensiveness of the biomass furnace can be effectively improved, so that off-line optimization can be implemented and online real-time combustion optimization is also carried out.

Description

technical field [0001] The invention belongs to the technical field of information and control, and relates to a combustion optimization method 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 pollutant gas emissions. 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 complex coupl...

AI Technical Summary

Problems solved by technology

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 pollutant gas emissions.

For a given biomass furnace, under a certain load condition, 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 complex coupling relationship between operating parameters, and it is not easy to find the optimal air distribution

With the continuous advancement of science and technology, the degree of automation is also increasing, but the problem of optimal control of biomass furnace combustion has not been well resolved

[0003] In practice, the combustion optimization of the biomass furnace is mainly based on the experience of the staff, so there is still a lot of room for improvement in the parameter configuration in actual operation, and it is not possible to perform online optimization according to the real-time changes in the combustion of the biomass furnace

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