6188

5785

كارشناسي ارشد

مهندسي شيمي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده مهندسي شيمي

1390

ع،105ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

محمد قريشي،حميدزيلويي

علي اكبر دادخواه

7/6/90

ارجمند مهرباني، مسعود حق شناس

مهندسي شيمي

ID5785

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

IUTDegree Master of ScienceTitle Modeling and Optimization of Catalytic Reforming of Isfahan Tabriz and Kermanshahrefineries with Genetic Algorithm and Characterizing Deactivation Model of Their CatalystAuthor Mohsen TofighiSupervisor Dr S M Ghoreshi Dr H ZiloueiDepartment Chemical EngineeringDate April 10 2011Language PersianAbstract Catalytic reforming of naphtha is an important process in reforming of naphtha with low octane numberto gasoline with high octane number The rectors of catalytic reforming unit are the heart of unit In thisthesis catalytic reforming unit of Isfahan Tabriz and Kermanshah refineries have been modeled using offour Smith Stijpovic and et al Padmavathi chaudri and so Ancheyta Juarez kinetic types Number ofreactors in catalytic reforming unit of Kermanshah is three and in Tabriz and Isfahan is four There is anacceptable coincidence between results of modeling and industrial data using of Stijpovic Padmavathiand Ancheyta kinetics Generated error of modeling use of Smith Kinetic is noticeable slightly Results ofmodeling indicates that gradient rate of temperatures and concentration of matters in both Stijpovic andPadmavathi kinetic reactors is monotonic and the noted gradient rate using Smith and Ancheyta kineticsis usually fast in the initial of reactor and slow in the final of reactor Using of Genetics Algorithm andmodeling have been done on noted kinetics the way of optimized distribution of catalyst in the reactors ofcatalytic reforming unit in Kermanshah refinery is 19 29 and 52 percent respectively and in catalyticreforming unit of Isfahan and Tabriz refinery is 9 17 27 and 47 percent respectively By times and undervarious factors such as cocking the activity of catalysts are decreased so in order to control the drop ofcatalyst activity and generating gasoline with suitable octane number entrance temperature is increased The activity of catalysts using of processing data and presented models has been introduced in any giventime and temperature by genetic algorithm The activity has been defined in the form of a coefficient toany reactions Finally the activity of catalysts has been specified in the form of an exponential function oftime and temperature Key words Modeling optimization Genetic Algorithm Kinetic Deactivation ofCatalyst

محمد قريشي،حميدزيلويي

علي اكبر دادخواه

ارجمند مهرباني، مسعود حق شناس