Method for Predicting Reaction Performance in Solid Fuel Chemical Looping Process Based on GBRT

A technology of solid fuel and reaction performance, which is applied in chemical analysis by combustion, machine learning, instruments, etc. It can solve problems such as difficult to obtain, high data, complex internal logic between data, etc., and achieve the effect of saving time and continuous feature data
CN110824099BActive Publication Date: 2022-03-04SOUTHEAST UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHEAST UNIV
Publication Date
2022-03-04

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Abstract

The invention relates to a method for predicting the reaction performance in the chemical chain process of solid fuel, comprising (1) collecting data through experimental research on chemical chain of solid fuel; (2) arranging data to obtain training samples and test samples; (3) using gradient The training sample is trained by boosting the regression tree model; (4) The reaction performance in the chemical chain process of solid fuel is predicted. By traversing the data combination, predicting the results, and obtaining the corresponding chemical chain working condition parameters according to the requirements of different chemical chain technologies. Compared with the prior art, the present invention predicts the reaction performance of various solid fuels in the chemical chain process through the gradient boosting regression tree model, greatly reduces the number of experiments, saves a lot of manpower and material resources, and is conducive to intuitive and quantitative prediction of chemical chains. The fuel conversion rate in the chain process, etc., has certain guiding significance for optimizing the chemical chain process.
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Description

technical field

[0001] The invention relates to a method for predicting the reaction performance of solid fuel in the chemical chain process, especially a method for predicting the reaction performance of solid fuel in the chemical chain process based on the Gradient Boost Regression Tree model (that is, Gradient Boost Regression Tree, abbreviated as GBRT) , belongs to the technical field of chemical looping combustion. Background technique

[0002] Chemical looping technology mainly includes chemical looping combustion and chemical looping gasification, etc. During the process, the fuel does not come into direct contact with the air, but alternately circulates between the two reactors through the oxygen carrier to achieve oxygen transfer. Chemical looping combustion can achieve CO without additional energy consumption 2 Internal separation, chemical looping gasification is to use oxygen carrier instead of pure oxygen to gasify solid fuel, reduce operating costs, and oxygen...

Claims

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