Kinetic modeling of the high-temperature rapid pyrolysis auto-reaction network of heavy oil
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 high-frequency 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 high-temperature 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.
heavy oilhigh-temperature and rapid pyrolysisautomatic response network generatorhigh-frequency furnace