eprintid: 11735
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/17/35
datestamp: 2023-11-10 03:26:15
lastmod: 2023-11-10 03:26:15
status_changed: 2023-11-10 01:15:59
type: article
metadata_visibility: show
creators_name: Albahri, T.A.
creators_name: Khor, C.S.
creators_name: Elsholkami, M.
creators_name: Elkamel, A.
title: A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
ispublished: pub
keywords: Fluid catalytic cracking; Gasoline; Integer programming; Nonlinear programming; Structural optimization; Topology, Atmospheric residues; Fluid catalytic crackers; Parameter optimisation; Process synthesis; Topology optimisation; Vacuum residue, Petroleum refineries
note: cited By 3
abstract: 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
date: 2019
publisher: Institution of Chemical Engineers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060245438&doi=10.1016%2fj.cherd.2019.01.001&partnerID=40&md5=daab624bd25f1ddfec6c27743ad26248
id_number: 10.1016/j.cherd.2019.01.001
full_text_status: none
publication: Chemical Engineering Research and Design
volume: 143
pagerange: 24-35
refereed: TRUE
issn: 02638762
citation:   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