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Process Simulation And Application Research Of FCC Combined Production Unit Based On Aspen HYSYS

Posted on:2023-04-05Degree:MasterType:Thesis
Country:ChinaCandidate:Z M LiFull Text:PDF
GTID:2531306794989959Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
Fluid Catalytic Cracking(FCC)units are the largest refinery units producing gasoline and light products,and play a key role in the operation of all refineries.In order to study and analyze an 800,000 ton/year FCC plant in a domestic refinery,and to guide the refinery production operation and planning and thus improve the refinery production efficiency,this paper presents an in-depth study of its process modeling and model application.The main work involved is as follows:(1)As the refinery changed the feedstock and adjusted the production schedule,the old process model could no longer be well adapted to the existing process state.In this paper,we collected process data for nearly one month,processed the collected data,and built a twenty-one aggregate model based on Aspen HYSYS software for heavy feedstock,and finally verified that the model could effectively simulate the production status of the actual plant.(2)Based on the established refinery FCC model,this paper investigates the effects of four main operating parameters(reaction temperature,reaction pressure,feedstock preheating temperature,and equilibrium catalyst activity)on FCC conversion and product distribution by using Aspen working condition study toolbox.The Riser Outlet Temperature(ROT)was also optimized to improve the product yield and plant throughput.(3)In view of the current refineries still use the Delta-Base model based on Linear Program(LP)technique to predict the product yield,which has the disadvantage that the prediction error gradually increases after 10% beyond the operating point.In this paper,we combine the LP technology with the Artificial Neural Network(ANN)technology to build the "LP&ANN model",which can make the product yield prediction more accurate and improve the refinery production planning capability.
Keywords/Search Tags:fluid catalytic cracking, mechanism modeling, process optimization, Delta-base model prediction, ANN model prediction
PDF Full Text Request
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