Optimization of Ammonia Synthesis Reactor using Genetic Algorithm
Publish place: 1st Iranian Petrochemical Conference
Publish Year: 1387
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IPCONF01_230
تاریخ نمایه سازی: 6 آذر 1386
Abstract:
In this paper Genetic Algorithm was employed as a powerful method for optimization of an industrial ammonia synthesis reactor. The reactor consists of four adiabatic catalytic fixed beds equipped with three quench flows and an internal heat exchanger on its top. The optimization problems were defined based on plant data obtained from an operational ammonia reactor at Khorasan petrochemical complex, Bojnurd-Iran. An optimum ratio of H2/N2 was obtained from numerical solution of the problem in which Micro Genetic Algorithm was employed. However, Simple Genetic Algorithm was used to find the quench flow rates configuration. The results for mathematical model show that the estimated optimum condition can improve the overall product yield by 4.5%.
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Authors
Behnam Hosseinzadeh
Process Simulation and Control Research Lab., Department of Chemical Engineering, Iran University of Science and Technology (IUST), Narmak
Mohammad Sadeghi
Process Simulation and Control Research Lab., Department of Chemical Engineering, Iran University of Science and Technology (IUST), Narmak
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