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全混流反应器异常操作工况下反应温度预测方法及危害分析OA北大核心CSTPCD

Reaction temperature prediction method and hazard analysis of CSTR under abnormal operating conditions

中文摘要英文摘要

采用数学拟合方法,根据不同温度下反应物含量变化的实验数据获取釜式反应器中主反应的动力学参数,根据加速量热仪法测定二次反应温度随时间的关系确定二次反应的动力学参数,并基于热量衡算和反应动力学研究建立全混流反应器(CSTR)的温度预测模型,研究了CSTR异常操作工况下反应温度的预测方法,并进行了危害分析.模拟结果显示,对常规n级放热反应,该模型可简单准确模拟不同操作条件下CSTR内操作参数随时间的变化关系,在换热失效条件下,反应温度最高可达 130℃;所建立的模型可定量模拟异常工况下反应温度、组分含量及热负荷的变化,可为反应器异常操作工况下的反应危害分析提供数据支持,对反应工艺和反应器设计及本质安全的实现具有指导意义.

The kinetic parameters of the primary reaction in the tank reactor were obtained by the mathematical fitting method according to the experimental data of reactant concentration changes at different temperatures,and those of the secondary reaction were determined according to the relationship between the temperature of the secondary reaction and time by accelerating rate calorimeter.The temperature prediction model of a continuous stirred tank reactor(CSTR)was established based on the calorimetry and reaction kinetics.The prediction method of reaction temperature of CSTR under abnormal operating conditions was studied,and the hazard analysis was carried out.The simulation results show that for a conventional n-order exothermic reaction,the model can easily and accurately simulate the relationship between operating parameters and time in the CSTR under different operating conditions,and the reaction temperature can reach the highest value of 130℃under heat transfer failure conditions.The established model can quantitatively simulate the changes in reaction temperature,component concentration,and heat load under abnormal operating conditions,and it can provide data support for reaction hazard analysis of the CSTR under abnormal operating conditions,which has guiding significance for the design of reaction process and reactor and the realization of intrinsic safety.

李广琼;雷子航;刘桂莲

西安交通大学 化学工程与技术学院,陕西 西安 710049

化学工程

全混流反应器危害分析反应温度预测动力学模型

continuous stirred tank reactorhazard analysisreaction temperaturepredictiondynamic model

《石油化工》 2024 (005)

678-685 / 8

国家自然科学基金面上项目(22078259).

10.3969/j.issn.1000-8144.2024.05.008

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