TY  - JOUR
EP  - 180
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069660107&doi=10.1016%2fB978-0-12-818634-3.50030-8&partnerID=40&md5=833e80967b07f7fb0b76b6e13cce8e91
N1  - cited By 1
A1  - Khor, C.S.
A1  - Albahri, T.A.
A1  - Elkamel, A.
ID  - scholars12100
Y1  - 2019///
TI  - A model-based approach for optimizing petroleum refinery configuration for heavy oil processing
SN  - 15707946
N2  - This work presents a model-based optimization approach to determine the configuration of a petroleum refinery for a new (grassroots) or an existing site for heavy oil processing of atmospheric distillation unit residue. We develop a high-level superstructure representation for the refinery configuration that encompass many possible alternatives comprising the technologies and their interconnections. The superstructure is postulated by decomposing it to include representative heavy oil processing scheme alternatives that center on the technologies for atmospheric residual hydrodesulfurization (ARDS), vacuum residual hydrodesulfurization (VRDS), and residual fluid catalytic cracking (RFCC). We formulate a mixed-integer nonlinear optimization model (MINLP) appended with logic propositions devised from experience and heuristics to aid solution convergence. Implementation on a case study of Kuwaiti refineries demonstrate the applicability and practicality of the proposed approach when validated against existing real-world refinery configurations. © 2019 Elsevier B.V.
VL  - 46
JF  - Computer Aided Chemical Engineering
AV  - none
SP  - 175
PB  - Elsevier B.V.
ER  -