A mixed integer nonlinear programming approach for petroleum refinery topology optimisation

被引:2
作者
Albahri, Tareq A. [1 ]
Khor, Cheng Seong [2 ]
Elsholkami, Mohamed [3 ]
Elkamel, Ali [3 ,4 ]
机构
[1] Kuwait Univ, Dept Chem Engn, POB 5969, Safat 13060, Kuwait
[2] Univ Teknol PETRONAS, Dept Chem Engn, Seri Iskandar 32610, Perak Darul Rid, Malaysia
[3] Univ Waterloo, Dept Chem Engn, 200 Univ Ave West, Waterloo, ON N2L 3G1, Canada
[4] Khalifa Univ, Petr Inst, Dept Chem Engn, Abu Dhabi, U Arab Emirates
关键词
Structural and parameter optimisation; Topology optimisation; Process synthesis; Atmospheric residue desulfurizer (ARDS); Vacuum residue desulfurizer (VRDS); Residue fluid catalytic cracker (RFCC); GLOBAL OPTIMIZATION; BIOETHANOL PRODUCTION; ENERGY OPTIMIZATION; NETWORK DESIGN; INTEGRATION; MODELS; STRATEGY; LOGIC;
D O I
10.1016/j.cherd.2019.01.001
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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. (C) 2019 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:24 / 35
页数:12
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