Multi-objective intelligent optimization method for liquid coal combustion catalyst, liquid coal combustion catalyst and application method thereof

The ternary liquid catalyst of calcium chloride-magnesium chloride-sodium nitrate was optimized by a multi-objective optimization method, which solved the problems of freezing and corrosion of coal-fired catalysts in cold regions, improved combustion efficiency and emission reduction effect, and is applicable to a variety of coal-fired systems, with high industrial value.

CN122436041APending Publication Date: 2026-07-21XI AN JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Filing Date
2026-04-28
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing coal-fired catalysts are prone to freezing and solidification in the cold winters of northern regions, and their acidic formulations cause boiler corrosion. Furthermore, they lack the ability to synergistically reduce NOx and SO2 emissions. Traditional optimization methods are inefficient and cannot balance energy conservation, emission reduction, and economic efficiency.

Method used

The formulation of the ternary liquid catalyst of calcium chloride-magnesium chloride-sodium nitrate was optimized by adopting the Latin hypercube sampling-Gaussian process regression surrogate model-NSGA-II multi-objective optimization method. Through the synergistic effect of sodium nitrate with calcium and magnesium ions, global optimization was achieved to adapt to different boiler application scenarios.

Benefits of technology

It achieves high-efficiency combustion, low-temperature adaptability and improved economy of catalysts, reduces NOx and SOx emissions, is suitable for small and medium-sized boilers to large power plant boilers, requires no equipment modification, and has a high return on investment.

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Abstract

The application belongs to the field of coal combustion catalysis and clean coal utilization technology, and particularly relates to a multi-target intelligent optimization method of liquid coal combustion catalyst, a liquid coal combustion catalyst and an application method thereof, an intelligent design system of Latin hypercube sampling-Gaussian process regression proxy model-NSGA-II multi-target optimization is established, compared with the traditional orthogonal test, the optimization efficiency is improved by more than 80%, meanwhile, the defects that the traditional method cannot handle multi-target conflict and is easy to fall into local optimum are solved, and a standardized and replicable method system is provided for the research and development of coal combustion catalyst. A calcium chloride-magnesium chloride-sodium nitrate ternary liquid catalyst system is obtained through optimization, and performance breakthrough is realized through the synergistic effect of sodium nitrate and calcium and magnesium ions; the liquid catalyst can be directly added to the coal through the existing spraying system, without any modification to the boiler equipment, and is suitable for full-scene application from small and medium-sized boilers to large power station boilers, and has high industrialization promotion value.
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