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Title: An integrated mechanism of genetic algorithm and Taguchi method for cut-point temperatures optimization of crude distillation unit
Authors: Durrani, Muhammad Amin
Avila, Alcantara
Rafael, Jesus
Ahmad, Iftikhar
Keywords: Engineering and Technology
Aspen HYSYS simulation
Crude oil distillation
Crude distillation unit
Cut point temperature
Petroleum refinery
Taguchi method
Genetic algorithm
Issue Date: 3-Mar-2018
Publisher: IEEE 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
Abstract: Fractionation of crude oil in crude distillation unit (CDU) is an energy intensive process. Fractionation is carried out based on the cutpoint temperatures, i.e., the tray temperature of the CDU at which a product stream is separated. Rigorous optimization of cutpoint temperature is required for the unceasing scheduling of the feed where a substantial amount of energy generated from utilities is wasted. In this study, a novel optimization approach is proposed for the cut point temperatures optimization by hybridization of Taguchi and Genetic Algorithm. An Aspen HYSYS model is developed for CDU for three Pakistani crudes, i.e. Bobi, Kunnar, and Zamzama. Optimization is carried out on lowering the energy consumption per unit production product, diesel. The proposed mechanism comprises of two phases; at first phase, Taguchi method is applied to optimize the cutpoint temperatures followed by application of Genetic Algorithm for further optimization.
ISBN: 978-1-5386-1370-2
Appears in Collections:Proceedings

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