重质油高温快速热解自动反应网络的动力学建模

Kinetic modeling of the high-temperature rapid pyrolysis auto-reaction network of heavy oil

重质油高温快速热解过程模型对提高产品收率、附加值及降低能耗具有重要意义。利用自动反应网络生成器RMG(reaction mechanism generator)构建重质油高温快速热解的机理模型。选择了分步构建方法,最终合并的模型包含230种物质和1468个反应。采用高频炉对二十烷、十氢萘、乙苯和不同质量比例混合物(二十烷、乙苯和十氢萘)进行快速热解实验验证,结果表明:机理模型可准确模拟出重质油高温快速热解主要气体产物生成结果,当重质油中链烷烃含量较多时和芳烃含量较多时,分别控制温度在1300℃左右和800℃左右有利于乙烯的生产。

The modeling of the high-temperature rapid pyrolysis process for heavy oil holds significant implications for enhancing product yields,adding value,and reducing energy consumption.In this paper,we employed the automatic reaction network generator,reaction mechanism generator(RMG),to construct a mechanistic model for the high-temperature rapid pyrolysis of heavy oil.A stepwise construction approach was selected,culminating in a model that encompasses 230 substances and 1468 reactions.Rapid pyrolysis experiments were conducted in a highfrequency furnace by using eicosane,decahydronaphthalene,ethylbenzene,and their mixtures at different ratios to validate the model.The mechanism model can accurately simulate the main gas product generation results of hightemperature rapid pyrolysis of heavy oil.Specifically,when heavy oil contains a higher amount of alkanes or aromatics,maintaining the temperature around 1300℃and 800℃,respectively,is conducive to ethylene production.