• 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