شماره ركورد كنفرانس :
5048
عنوان مقاله :
Reducing Gaseous Pollutants Emissions in a Network of Refinery Stacks Using Optimal Control Equipments
Author/Authors :
N ،Azizi Sahand University of Technology - Tabriz, Iran , E ،Fatehifar Sahand University of Technology - Tabriz, Iran , S ،Shafeie Sahand University of Technology - Tabriz, Iran , A ،Elkamel Chemical Engineering Dept - School of Engineering - University ofWaterloo, Canada , L ،Khazini Sahand University of Technology - Tabriz, Iran , A ،Ebrahimi Electrical Engineering Dept - Sahand University of Technology - Tabriz, Iran
كليدواژه :
Control methods , Multiple-cell model , Genetic algorithm , Crossover , Mutation
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
Air pollution is a major problem in the world and SO2, NOx, CO, TH and PM are the main air pollutants. Various rules
have been made for air pollution control from previous decades, but no researches were extended about selecting
control methods for oil refinery stacks network with considering cost and efficiency simultaneously. The goal of this
project is to determine suitable control equipments for oil refinery stacks network with two objective function of cost
and minimum acceptable pollutants concentration according to environmental standards on the ground and assigning
only one controller for each stack. Multiple-cell model is used for modeling and genetic algorithm is used as optimizing
method. So Tabriz oil refinery stacks network by cosidering máximum exit emmissions of each stack was optimized
and the results show that pollutants concentration except total hydrocarbons has reached to their standard value and total
capital cost is 27.63 million dollars but because Tabriz oil refinery has thermal incinerator so this cost decreases to
3.632 million dollars.
