5213

4882

كارشناسي ارشد

مهندسي شيمي

اصفهان: دانشگاه صنعتي اصفهان،دانشكده مهندسي شيمي

1388

دوازده،105ص.:مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

محسن نصراصفهاني

4/3/89

احمد محب،محمدرضا احساني

1396/09/29

كتابنامه

مهندسي شيمي

ID4882

به فارسي و انگليسي:قابل رويت در نسخه ديجيتالي

Cost Minimization by Genetic Algorithm and Energy Consumption Investigation in Separation of Ternary mixture of Propane Butane and Pentane Omid Babaie Omid iut86@yahoo com Date of Submission 2010 02 24 Department of Chemical Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor M Nasre Esfahany mnasr@cc iut ac irAbstractIn recent years due to the limited energy resources and increasing consumption and high cost of providing it various methods for reducing energy consumption are presented However the use of energy wasted in theprocess has become a very important object Almost in all chemical processes separation section is veryimportant section Distillition is the most common industrial separation method and uses a lot of energy Ingeneral for a partial separation of a mixture to its pure components different arrangements of distillationtowers can be used Therefore for designing a distillation process finding the best arrangement of distillationtowers is very important Cost minimizing and investigating of energy consumption in the triple system ofpropane butane and pentane is aim of this project The objective function is the Total Annual Cost ofdistillation arrangements Four different arrangements are considered to find the optimum mod Allarrangements are both with and without thermal integration Finding the extermum of objective functionconsidering the number of variables is not an easy process Short cut methods have been used in the past toease investigation but suffer from simplifying assumption In this project genetic algorithm is used to findextermum of objective function Distillation towers heve been simulated and sized by Hysys total annualcost has been calculated Finally to ensure the accuracy of cost calculations some of best cases wereanalysed by Aspen Icarus software and exact economic estimations have been performed The results showthat the splitting feed and partely heated integrated prefractionator arrangement is optimum arrangementcompared with other arrangementsKeywords Keywords Cost minimizing Energy consuption Total Annual Cost genetic algorithms Hysys software Aspen Icarus software

محسن نصراصفهاني

احمد محب،محمدرضا احساني