A mixed integer nonlinear programming approach for petroleum refinery topology optimisation

Albahri, T.A. and Khor, C.S. and Elsholkami, M. and Elkamel, A. (2019) A mixed integer nonlinear programming approach for petroleum refinery topology optimisation. Chemical Engineering Research and Design . pp. 24-35.

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This work presents a mixed integer nonlinear programming (MINLP)-based superstructure optimisation approach to synthesize an optimal petroleum refinery topology or configuration for large-scale grassroots refinery systems. We develop a superstructure to include many possible prospective configurations and formulate rigorous models for the 32 commercial refinery processes that constitute the configurations, which gives rise to a convex MINLP model. The objective function is to maximize the total refinery profit for a given crude oil feed subject to material and energy balance constraints. We apply a two-level optimisation procedure: a master module to construct configurations from the superstructure and a submodule to optimize the process unit conversions and product temperatures of the configurations. A numerical example based on an actual operating refinery in Kuwait is illustrated to implement the approach with a resulting configuration that agrees with real-world practices. © 2019 Institution of Chemical Engineers

Item Type:Article
Impact Factor:cited By 0
Uncontrolled Keywords:Crude oil; Gasoline; Integer programming; Nonlinear programming; Structural optimization; Topology, Atmospheric residues; Fluid catalytic crackers; Parameter optimisation; Process synthesis; Topology optimisation; Vacuum residue, Petroleum refineries
Departments / MOR / COE:Research Institutes > Institute for Autonomous Systems
ID Code:22126
Deposited By: Ahmad Suhairi
Deposited On:28 Feb 2019 06:01
Last Modified:08 Jul 2019 04:04

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