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application of ga in optimization of modified benzene alkylation process
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نویسنده
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nejad ebrahimi a. ,zolfaghari sharak a. ,mousavi s. a. ,zolfaghari shahrak a. ,aghazadeh f.
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منبع
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journal of petroleum science and technology - 2012 - دوره : 2 - شماره : 1 - صفحه:43 -49
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چکیده
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A genetic algorithm is used to optimize the modified benzene alkylation process. based on the previousstudies, the modified process increases ethylbenzene selectivity and decreases energy consumption atthe same time. the inlet ethylene flow rate of each alkylation reactor is optimized in order to reducethe chance of transalkylation reactions but increase ethylbenzene selectivity. the byproduct trans-ethylbenzeneconcentration is used as the fitness variable in the optimization process to confine undesiredreactions throughout the process. the obtained optimal values of ethylene flow rate for the adiabatic reactorsare 3.50, 2.94, 2.58, and 0.36 m3/hr. the ethylbenzene selectivity has been increased by applyingthe optimized values indicating the current unit is not operating under optimal conditions. temperatureprofile within the alkylation reactors and temperature and concentration profiles through the towers ofthe fraction unit under the optimized conditions of the modified process are also presented
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کلیدواژه
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genetic algorithm ,optimization ,modified process ,temperature profile ,ethylbenzene
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آدرس
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sharif university of technology, department of chemical and petroleum engineering, iran, sharif university of technology, department of chemical and petroleum engineering, iran, sharif university of technology, department of chemical and petroleum engineering, iran, university of wyoming, department of chemical and petroleum engineering, ,, usa, university of tabriz, petroleum research technology laboratory, department of applied chemistry & chemical engineering, iran
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Authors
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