Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

GBRT-based method for forecasting reaction property of solid fuel during chemical chain process

A solid fuel and reaction performance technology, applied in chemical analysis, machine learning, instrumentation, etc. using combustion, can solve problems such as difficulty in obtaining, high data, inapplicability, etc., to achieve the effect of saving time and continuous characteristic data

Active Publication Date: 2020-02-21
SOUTHEAST UNIV
View PDF10 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the scenario of the chemical chain process, the dimensionality of the data is usually high, and the internal logic between the data is complicated. , so it is not suitable for the scenario of chemical chain process prediction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • GBRT-based method for forecasting reaction property of solid fuel during chemical chain process
  • GBRT-based method for forecasting reaction property of solid fuel during chemical chain process
  • GBRT-based method for forecasting reaction property of solid fuel during chemical chain process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The content of the present invention will be further clarified below with reference to the accompanying drawings and specific embodiments, but the embodiments are only used to illustrate the present invention and are not used to limit the protection scope of the present invention. The specific steps of the embodiment are as follows figure 1 shown.

[0038] First, the solid fuel is selected as petroleum coke and anthracite, and the oxygen carrier is iron ore. The solid fuel in this embodiment can be selected from one or more of coal (including lignite, bituminous coal, and anthracite), biomass, and petroleum coke. A kind of mixed fuel; the oxygen carrier can choose iron-based, nickel-based, copper-based or multi-metal oxygen carrier, and natural oxygen carrier. Experimental studies were carried out on a single batch fed small fluidized bed. The reaction temperature, water vapor flow rate, O / C (the ratio of the molar amount of oxygen in the oxygen carrier to the molar a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to method for forecasting reaction property of a solid fuel during the chemical chain process. The method comprises the steps of (1) collecting data by solid fuel chemical chainexperiment study; (2) organizing the data to obtain a training sample and a test sample; (3) training the training sample by a gradient boosted regression tree model; and (4) forecasting reaction property of the solid fuel during the chemical chain process. A result is forecasted by traversing data combinations, and a corresponding chemical chain working condition parameter is obtained according to demands of different chemical chain technologies; compared with the prior art, the method has the advantages that the reaction properties of various solid fuels during the chemical chain process areforecasted by the gradient boosted regression tree model, the experiment number is substantially reduced, and labor and material are greatly saved; and moreover, the fuel conversion rate during the chemical chain process is favorably, intuitively and quantitatively forecasted, and the method has an important significance to optimization of the chemical chain process.

Description

technical field [0001] The invention relates to a method for predicting the reaction performance of a solid fuel in a chemical chain process, in particular to a method for predicting the reaction performance of a solid fuel in the chemical chain process based on a gradient boost regression tree model (ie Gradient Boost Regression Tree, abbreviated as GBRT). , which belongs to the technical field of chemical chain combustion. Background technique [0002] The chemical chain technology mainly includes chemical chain combustion and chemical chain gasification. During the process, the fuel is not in direct contact with air, but alternately circulates between two reactors through an oxygen carrier to achieve oxygen transfer. Chemical chain combustion can achieve CO without additional energy consumption 2 Internal separation, chemical chain gasification uses oxygen carrier instead of pure oxygen to gasify solid fuel, reducing operating costs, and oxygen carrier has the function o...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N31/12G06N20/00
CPCG01N31/12G06N20/00
Inventor 王璐璐沈来宏付晗
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products