A mixed integer nonlinear programming approach for petroleum refinery topology optimisation

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 configuratio...

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Main Authors: Albahri, T.A., Khor, C.S., Elsholkami, M., Elkamel, A.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.22126 /
Published: 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060245438&doi=10.1016%2fj.cherd.2019.01.001&partnerID=40&md5=daab624bd25f1ddfec6c27743ad26248
http://eprints.utp.edu.my/22126/
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spelling utp-eprints.221262019-07-08T04:04:15Z A mixed integer nonlinear programming approach for petroleum refinery topology optimisation Albahri, T.A. Khor, C.S. Elsholkami, M. Elkamel, A. 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 2019 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060245438&doi=10.1016%2fj.cherd.2019.01.001&partnerID=40&md5=daab624bd25f1ddfec6c27743ad26248 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. http://eprints.utp.edu.my/22126/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
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
format Article
author Albahri, T.A.
Khor, C.S.
Elsholkami, M.
Elkamel, A.
spellingShingle Albahri, T.A.
Khor, C.S.
Elsholkami, M.
Elkamel, A.
A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
author_sort Albahri, T.A.
title A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
title_short A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
title_full A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
title_fullStr A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
title_full_unstemmed A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
title_sort mixed integer nonlinear programming approach for petroleum refinery topology optimisation
publishDate 2019
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
http://eprints.utp.edu.my/22126/
_version_ 1741196572305129472
score 11.62408

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