relation: https://khub.utp.edu.my/scholars/11735/
title: A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
creator: Albahri, T.A.
creator: Khor, C.S.
creator: Elsholkami, M.
creator: Elkamel, A.
description: 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
publisher: Institution of Chemical Engineers
date: 2019
type: Article
type: PeerReviewed
identifier:   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, 143.  pp. 24-35.  ISSN 02638762     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060245438&doi=10.1016%2fj.cherd.2019.01.001&partnerID=40&md5=daab624bd25f1ddfec6c27743ad26248
relation: 10.1016/j.cherd.2019.01.001
identifier: 10.1016/j.cherd.2019.01.001