文献类型：期刊文献

中文题名：烃类蒸汽裂解反应动力学模型研究进展

英文题名：Advances in Kinetic Modeling of Hydrocarbon Steam Cracking Reactions

作者：郭宝龙[1];段兆阳[1];叶贞成[1];田洲[1]

机构：[1]华东理工大学信息科学与工程学院,上海200237

年份：2025

卷号：41

期号：6

起止页码：710

中文期刊名：化学反应工程与工艺

外文期刊名：Chemical Reaction Engineering and Technology

基金：国家重点研发计划(2022YFB3304903)。

语种：中文

中文关键词：蒸汽裂解;自由基反应机理;反应动力学建模;数据驱动模型

外文关键词：steam cracking;free radical reaction mechanism;reaction kinetic modeling;data-driven model

摘要：乙烯是石油化工产业的重要基础原料,其生产工艺主要依赖于烃类蒸汽裂解技术,而裂解反应动力学模型是构建蒸汽裂解制乙烯过程模型的核心。本文系统总结了烃类蒸汽裂解反应动力学的研究进展,包括经验模型、分子反应动力学模型、自由基反应机理模型及数据驱动模型,深入分析了不同模型在反应机理与产品分布预测中的作用及表现。经验模型计算效率较高,但预测精度以及适用范围有限;分子反应动力学模型在预测精度上大幅提升,但外推性有限;自由基反应机理模型在描述复杂反应网络中表现出显著优势,能够精确预测裂解产物分布,成为当前裂解反应动力学建模的主要技术路线;数据驱动模型在高效性和精准性上兼具优势,但需依赖海量可靠数据。最后,本文展望了烃类蒸汽裂解反应动力学模型的潜在研究方向,重点在于反应网络自动生成与人工智能深度融合,以进一步提升模型的通用性和预测精度,并推动乙烯裂解工艺的优化与智能制造的发展。
Ethylene is an important basic raw material for the petrochemical industry,and its production mainly relies on hydrocarbon steam cracking technology,while the kinetic model of the cracking reaction is the core for modeling the steam cracking process for ethylene production.This paper systematically summarized the research progress of hydrocarbon steam cracking reaction kinetics,including empirical model,molecular reaction kinetics model,free radical reaction mechanism model and data-driven model,and deeply analyzed the roles and performances of different models in the reaction mechanism and product distribution prediction.The empirical model has high computational efficiency but limited prediction accuracy and adaptive range;the molecular kinetics model has greatly improved prediction accuracy but limited extrapolation;the free radical reaction mechanism model has shown significant advantages in describing the complex reaction network and it can accurately predict the distribution of cracking products,which has become the main technical route for modeling cracking reaction kinetics at present;the data-driven model has advantages in both high efficiency and accuracy,but it needs to rely on a large amount of reliable data.Finally,this paper looked forward to the potential research direction of the kinetic models of hydrocarbon steam cracking reaction,focusing on the deep integration of reaction network automatic generation and artificial intelligence,in order to further improve the model's versatility and prediction accuracy,and to promote the optimization of ethylene cracking process and the development of smart manufacturing.