A Screening and Optimization Method for Methanation Nickel-Based Catalyst Formulation Based on ANN-NSGA-II

Abstract

The invention discloses a method for screening and optimizing the methanation nickel-based catalyst formula based on the neural network cooperative second-generation non-dominated genetic algorithm (ANN-NSGA-II), through the screening of multi-auxiliary combination formula and the optimization of reaction process conditions , proving the effectiveness of the strategy. It includes the following steps: use random test method to design multiple test groups containing three additive elements (Re, W, Cs) to form the initial catalyst library; use artificial neural network (ANN) to construct the mathematical model of the methanation reaction system, namely Establish the corresponding relationship between operating conditions and performance indicators; use the improved NSGA-II multi-objective optimization algorithm to iteratively find the Pareto optimal solution that is better than the reaction conditions and process parameters, and find a way to effectively solve such condition parameter optimization problems in the future. A method with universality; the invention improves the prediction accuracy of the model and the screening efficiency of the catalyst.

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...

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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

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