首页|工业有机固废气化技术的研究进展

工业有机固废气化技术的研究进展

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气化是解决工业有机固废高效清洁处置利用的重要技术,近年来被广泛使用,尤其在污染物减排和能源化再利用方面发挥着积极作用。通过维持还原性气氛实现气化反应,可将工业有机固废中的有机组分转化为高热值合成气。实施工业有机固废资源再生利用可以缓解对传统能源和化工原料的需求,有利于实现循环经济和可持续发展。从气化过程的影响因素、协同反应机制、产物预测等方面入手,着重综述了工艺参数、气化炉类型等对工业有机固废气化过程的影响规律,阐述了多元物料组分共气化过程中的协同作用机理。最后,梳理了近年来工业有机固废气化领域的研究重点,并提出了未来的研究方向,包括借助现代原位表征技术构建完整的协同反应路径,结合密度泛函理论解析共气化过程中的多反应耦合作用机制,利用机器学习优化工业有机固废气化的工艺参数,以及开展工业有机固废共气化的生命周期评价等。
Research progress of industrial organic solid waste gasification technology
Gasification is an important technology for efficiently and cleanly disposing of and utilizing industrial organic solid wastes.It has been widely used in recent years and plays an active role,partic-ularly in reducing pollutants and reusing energy.The gasification reaction is achieved by maintaining a reducing atmosphere,which converts organic components into high-calorific-value syngas.By imple-menting this method of utilizing industrial organic solid waste resources,we can reduce the demand for traditional energy and chemical raw materials,as well as the exploitation of natural resources.This con-tributes to the achievement of a circular economy and sustainable development.We begin this paper by discussing the influencing factors of gasification process,synergistic reaction mechanisms,and product prediction.It focuses on reviewing the process parameters,gasifier types,and other factors that influ-ence the gasification process.Additionally,it describes the synergistic mechanism in the co-gasification of mixed materials.Finally,we have sorted out the focuses in the field of industrial organic solid waste gasification in recent years and proposed future research directions,which include constructing a com-plete synergistic reaction pathway with the help of modern in-situ characterization techniques,analyzing the mechanism of multi-reaction coupling in the process of co-gasification by combining den-sity functional theory calculations and theoretical modelling,optimizing the process parameters of the industrial organic solid waste gasification by using machine learning,and conducting life cycle analysis of the co-gasification of industrial organic solid waste.

Industrial organic solid wasteGasificationInfluencing factorsMachine learningCircular economy

王旭、罗振兴、夏志鹏、郭倩倩、胡艳军

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浙江工业大学 能源与碳中和科教融合学院,浙江 杭州 310014

工业有机固废 气化 影响因素 机器学习 循环经济

国家重点研发计划政府间国际科技创新合作资助项目龙游县2023年重大科技攻关课题"揭榜挂帅"资助项目

2024YFE0100200JHXM2023082

2024

能源环境保护
煤炭科学研究总院杭州环境保护研究所

能源环境保护

影响因子:0.472
ISSN:1006-8759
年,卷(期):2024.38(5)