TY  - JOUR
EP  - 35
SN  - 02638762
PB  - Institution of Chemical Engineers
N1  - cited By 3
TI  - A mixed integer nonlinear programming approach for petroleum refinery topology optimisation
SP  - 24
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060245438&doi=10.1016%2fj.cherd.2019.01.001&partnerID=40&md5=daab624bd25f1ddfec6c27743ad26248
A1  - Albahri, T.A.
A1  - Khor, C.S.
A1  - Elsholkami, M.
A1  - Elkamel, A.
JF  - Chemical Engineering Research and Design
VL  - 143
Y1  - 2019///
N2  - 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
KW  - Fluid catalytic cracking; Gasoline; Integer programming; Nonlinear programming; Structural optimization; Topology
KW  -  Atmospheric residues; Fluid catalytic crackers; Parameter optimisation; Process synthesis; Topology optimisation; Vacuum residue
KW  -  Petroleum refineries
ID  - scholars11735
ER  -