Simulation Modeling And Optimization Of Rectifying Tower For Petrolenm System

The hot topic in nowadays society is environmental protection related to haze undoubtedly. Petrochemical industry characteristic of high energy consumption, high pollution, high risks and others is where the wind and waves are highest. In China, petroleum consumption ability continuously increasing annually and limited crude oil reserves are main motives for development of petrochemical industry. Petroleum rectification is the isolation technique widely applied inpetrochemical industry and rectifying tower is one of equipment with the most energy consumption in petroleum refining. Whether the rectifying tower is well-designed has direct influence on total industrial energy consumption nationally. Therefore, simulation modeling and optimization of rectifying tower can not only improve product quality but also is of practical significance to reduce energy consumption, reduce operation costs and protect environmental resources. Therefore, this paper summarizes excellent research results at home and abroad and analyzes its development trend as well as studies simulation modeling and optimization of rectifying tower for petroleum system. The main contents are as follow:It is to utilize characterizing method of standard pseudo component for petroleum system to treat crude oil, adopting Morris-Svrcek simple and non-equilibrium-stage plate model and deriving heat transfer equation suitable for it. With rationally-simplified differential calculate as algebraic calculus, it is to relate model parameters adjusted as per industrial data previously and physical property to enable calculating of model parameters in no consideration of operation. This improves predictive ability of model and it is to obviously improve model calculation precision andcomputational efficiency by simplifying condensing system model at tower top and the system at tower bottom.This paper adopts hybrid particle swarm optimization algorithm with MPSO to conduct parameter optimization to atmospheric tower. It determines two different objective functions and selects effective decision variables as well as makes feasible optimizing strategies as per steady-state simulation of atmospheric tower. Finally, it compares PSO, PPSO algorithm and MPSO algorithm to find out MPSO is obviously better than PPSO in optimization speed and precision as well as obtains corresponding optimal operational point to be significant for operating of atmospheric tower in real production.