13.07.2015 Views

III International Conference

III International Conference

III International Conference

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

PP-<strong>III</strong>-88KINETIC MODEL FOR THE FCC GASOLINE SECONDARY REACTION BASEDON INDEPENDENT DEACTIVATIONYuan J., Chen Ch., Yang B.Chemical Engineer Department, Xi’an Jiaotong University, Xi’an, ChinaE-mail: blunyang@mail.xjtu.edu.cnIn contrast to situation in other countrises, over eighty percent of gasoline comes fromfluid catalytically cracked (FCC) reaction in China. The notable character of FCC gasoline isthe olefin seriously exceed the required concentration, therefore, reducing the olefin’s percentis an important task.For the FCC gasoline, the secondary reaction is an effect method to produce cleangasoline. Though it has been applied in the oil refining, the kinetics of FCC gasolinesecondary reaction is still in short of deep investigation because it involves hundreds ofhydrocarbon molecules and thousands of chemical reactions, among which there arecomplicated mutual influences.The lump method is a useful way to describe the process of FCC gasoline secondaryreaction, however, to our best knowledge, there is no one to consider the deactivation of thecatalyst in this process among the reported results up to now. In fact, the catalyst in the riserreactor is deactivated easily because of the high temperature and the coke problem. For thisreason, it is necessary to improve the traditional lump theory to predict and describe the FCCsecondary reaction more correctly; this work will be an important theoretical foundation toproduce cleanliness gasoline in large scale.In this paper, a novel eight lumps kinetics model is presented based on the analyzing ofall reactions. The mechanism of the independent deactivation is adopted and a nonselectivedeactivation kinetic model is established to research the kinetics behavior and the variation ofthe product distribution. The model is solved by hybrid genetic algorithm method and thesimulation results agreed well with the experiments results.636

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!