A mixed integer nonlinear programming approach for petroleum refinery topology optimisation

•Proposed strategy to devise configuration then optimize conversion and temperature.•Implemented on case study of a real-world refinery in Kuwait.•Obtained resulting configuration that agrees with industrial practice. This work presents a mixed integer nonlinear programming (MINLP)-based superstruct...

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Vydáno v:Chemical engineering research & design Ročník 143; s. 24 - 35
Hlavní autoři: Albahri, Tareq A., Khor, Cheng Seong, Elsholkami, Mohamed, Elkamel, Ali
Médium: Journal Article
Jazyk:angličtina
Vydáno: Rugby Elsevier B.V 01.03.2019
Elsevier Science Ltd
Témata:
Atmospheric residue desulfurizer (ARDS)
Catalysts
Configurations
Crude oil
Mathematical models
Mixed integer
Nonlinear programming
Numerical analysis
Optimization
Petroleum refineries
Process synthesis
Refineries
Residue fluid catalytic cracker (RFCC)
Structural and parameter optimisation
Superstructures
Topology
Topology optimisation
Topology optimization
Vacuum residue desulfurizer (VRDS)
Vacuum residue desulfurizer (VRDS)
Topology optimisation
Process synthesis
Residue fluid catalytic cracker (RFCC)
Atmospheric residue desulfurizer (ARDS)
Structural and parameter optimisation
ISSN:0263-8762, 1744-3563
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Shrnutí:•Proposed strategy to devise configuration then optimize conversion and temperature.•Implemented on case study of a real-world refinery in Kuwait.•Obtained resulting configuration that agrees with industrial practice. 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.
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ISSN:0263-8762
1744-3563
DOI:10.1016/j.cherd.2019.01.001