A method, apparatus, equipment, and storage medium for determining biomass gasification conditions.

By utilizing candidate gasification models for biomass gasification prediction and parameter optimization, the problem of traditional biomass gasifiers relying on human experience has been solved, thereby improving the stability and efficiency of the gasifiers.

CN122314162APending Publication Date: 2026-06-30GUANGDONG ENERGY GROUP SCIENCE & TECHNOLOGY RESEARCH INSTITUTE CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG ENERGY GROUP SCIENCE & TECHNOLOGY RESEARCH INSTITUTE CO LTD
Filing Date
2026-03-24
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

The operating parameters of traditional biomass gasifiers rely on human experience, resulting in a waste of manpower, time and cost, and low gasification efficiency.

Method used

By acquiring the material property data of the target biomass, gasification prediction is performed using the trained candidate gasification model, the target gasification model is determined, and gasification is carried out based on its gasification condition parameters.

Benefits of technology

It improves the operational stability and gas quality of the gasifier, reduces operating costs, and enhances its adaptability to complex operating conditions.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a method, apparatus, equipment, and storage medium for determining biomass gasification conditions. The method includes: acquiring material property data of the target biomass; inputting the material property data into at least two trained candidate gasification models to predict biomass gasification; determining a target gasification model from the at least two candidate gasification models based on the gasification prediction results; and gasifying the target biomass according to the gasification condition parameters corresponding to the target gasification model. Through the above technical solution, the stability and gas production quality of the gasifier operation are improved, operating costs are reduced, and the adaptability to complex operating conditions is enhanced.
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