TY  - JOUR
PB  - Taylor and Francis Inc.
SN  - 10916466
EP  - 281
AV  - none
N1  - cited By 3
TI  - Grassroots petroleum refinery configuration for heavy oil processing
SP  - 275
Y1  - 2019///
JF  - Petroleum Science and Technology
A1  - Albahri, T.A.
A1  - Al-Sharrah, G.
A1  - Khor, C.S.
A1  - Elkamel, A.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057247829&doi=10.1080%2f10916466.2018.1539754&partnerID=40&md5=1e9a7cbedc217d9cec375ba1a3651d39
VL  - 37
IS  - 3
N2  - This paper presents a model-based optimization approach to design a grassroots petroleum refinery for heavy oil processing including residue treating and upgrading. The focus is to determine an optimal refinery configuration to produce light products from an atmospheric residue stream. The proposed linear model can consider a large number of heavy oil processing technologies (more than 70) including multiple operating modes to arrive at a configuration that meets an objective of maximizing profit or a certain fuel type production. Computational results show trends in agreement with real-world practice for residuum refining applications, thus contributing to substantiating practicality of the approach. © 2018, © 2018 Taylor & Francis Group, LLC.
ID  - scholars11803
KW  - Crude oil; Gasoline; Linear programming; Petroleum refineries; Refining; Shape optimization
KW  -  Atmospheric residues; Computational results; Model based optimization; Multiple operating modes; Process synthesis; Real-world practice; retrofit; revamp
KW  -  Heavy oil production
ER  -