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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Vydané v:	Chemical engineering research & design Ročník 143; s. 24 - 35
Hlavní autori:	Albahri, Tareq A., Khor, Cheng Seong, Elsholkami, Mohamed, Elkamel, Ali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Rugby Elsevier B.V 01.03.2019 Elsevier Science Ltd
Predmet:	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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