Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for screening and optimizing methanation nickel-based catalyst formula based on ANN-NSGA-II

A technology of nickel-based catalysts and optimization methods, applied in neural learning methods, design optimization/simulation, instruments, etc., can solve difficulties and limit the efficiency of catalyst research and development, and achieve the effect of improving accuracy

Active Publication Date: 2020-12-25
TAIYUAN UNIV OF TECH
View PDF2 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The study found that it is undoubtedly very difficult to find the best formula from the vast array of additives only relying on experimental methods, which has become a bottleneck limiting the efficiency of catalyst research and development

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
  • Method for screening and optimizing methanation nickel-based catalyst formula based on ANN-NSGA-II
  • Method for screening and optimizing methanation nickel-based catalyst formula based on ANN-NSGA-II
  • Method for screening and optimizing methanation nickel-based catalyst formula based on ANN-NSGA-II

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] The purpose of the present invention is to provide a method for screening optimization of the methanation nickel-based catalyst formula based on ANN-NSGA-II, which not only provides a screening optimization method for the methanation nickel-based catalyst formula, but also can use this model to find The functional relationship between catalyst formulation and catalytic activity is obtained, and this prediction model is used to accurately predict the optimal additive formulation.

[0046] A method for screening and optimizing the methanation nickel-based catalyst formula based on ANN-NSGA-II, comprising the following steps:

[0047] Step 1: Multiple test groups containing three additive elements (Re, W, Cs) were designed by random test method to form an initial catalyst library. The experimental data under different conditions can be obtained by adjusting the molar ratio of Ni to the total amount of the three additives (Re, W, Cs) and the ratio between the three additive...

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 discloses a method for screening and optimizing a methanation nickel-based catalyst formula based on a neural network coordinated second-generation non-dominated genetic algorithm (ANN-NSGA-II), which proves the effectiveness of the strategy by screening a multi-additive combination formula and optimizing reaction process conditions. The method comprises the following steps: designing a plurality of test groups containing three additive elements (Re, W and Cs) by adopting a random test method to form an initial catalyst library; constructing a mathematical model of a methanationreaction system by adopting an artificial neural network (ANN), namely establishing a corresponding relationship between operation conditions and performance indexes; iteratively searching a Pareto optimal solution superior to reaction condition process parameters by an improved NSGAII multi-objective optimization algorithm, and finding a method with universality for effectively solving the optimization problem of the condition parameters in the future. According to the method, the model prediction precision and the catalyst screening efficiency are improved.

Description

technical field [0001] The invention relates to an ANN-NSGA-II-based method for screening and optimizing the formulation of a nickel-based methanation catalyst, which belongs to the field of modeling and optimization of complex industrial processes. Background technique [0002] Coal-to-natural gas (SNG) technology can convert coal resources into natural gas with no pollution and high thermal energy utilization efficiency, which is an important way to optimize the energy consumption structure, ensure my country's energy security, and reduce environmental pollution. The key technology of coal-to-SNG is methanation reaction, the core of which is the construction of catalyst. Loaded on Al 2 o 3 The Ni-based catalysts above are widely used in actual industrial production because of their advantages of high catalytic activity, good thermal stability, and low price, but sintering and carbon deposition are the main reasons for their deactivation. Therefore, it is of great signif...

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): G06F30/27G06Q10/04G06K9/62G06N3/04G06N3/08
CPCG06F30/27G06Q10/04G06N3/084G06N3/045G06F18/214
Inventor 任军李宇庭武世平韩晓霞赵金仙权燕红
Owner TAIYUAN UNIV OF TECH
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More