DocumentCode
2847851
Title
Integrated scheduling for gasoline blending considering storage tanks and pipe network
Author
Hoshino, Satoshi ; Furuya, Noriyoshi ; Seki, Hiroya
Author_Institution
Chem. Resources Lab., Tokyo Inst. of Technol., Yokohama
fYear
2008
fDate
23-26 Aug. 2008
Firstpage
784
Lastpage
789
Abstract
An off-site system in a petroleum refining plant mainly consists of storage tanks, gasoline component blenders, and a pipe network that connects tanks with blenders. Therefore, in order to produce a required gasoline on time, these equipments have to be selected and used appropriately at the right time. However, previous studies have not taken into account the pipe network. In this paper, a novel scheduling model with the MILP method for gasoline blending in consideration of storage tanks and a pipe network is proposed. In order to model and formulate the pipe network and constraints, a previously-proposed scheduling model is extended with the use of the set theory. In this regard, two modeling techniques are introduced to reduce a computational cost. Through a case study of the gasoline-blending scheduling, the effectiveness of the proposed and integrated scheduling model is finally shown.
Keywords
blending; fuel processing industries; fuel storage; industrial plants; integer programming; linear programming; oil refining; petroleum industry; pipes; scheduling; set theory; MILP method; gasoline blending scheduling model; gasoline component blender; mixed integer linear programming; petroleum refining plant; pipe network; set theory; storage tank; Bridges; Chemical technology; Computational efficiency; Fuel storage; Mathematical model; Mathematical programming; Petroleum; Processor scheduling; Refining; Storage automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
Conference_Location
Arlington, VA
Print_ISBN
978-1-4244-2022-3
Electronic_ISBN
978-1-4244-2023-0
Type
conf
DOI
10.1109/COASE.2008.4626475
Filename
4626475
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