• DocumentCode
    2837595
  • Title

    Research on integrated scheduling of refinery hydrogen network with hydrogen inventory

  • Author

    Xiao-chuan, Luo ; Tao, Ren ; Yan, Liu

  • Author_Institution
    Key Lab. of Process Ind. Autom. (MOE), Northeastern Univ., Shen Yang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    2599
  • Lastpage
    2604
  • Abstract
    Hydrogen network is the key part in crude oil refinery process, which has such features as large scale, complex process. It is very difficult to formalize and optimize the network. This paper presents bi-objective model for the scheduling problem of the hydrogen network. NSGA-II algorithm, which is adopted to solve our model, gives out the Pareto set. Then C2R method can be used to evaluate the Pareto solution in the set. Computational experiments based on the data from certain refinery factory demonstrate the effectiveness and feasibility of the scheduling mothodelogy.
  • Keywords
    Pareto optimisation; crude oil; hydrogen production; inventory management; oil refining; scheduling; C2R method; NSGA-II algorithm; Pareto set; bi-objective model; crude oil refinery process; hydrogen inventory; integrated scheduling; refinery hydrogen network; Automation; Electronic mail; Fuel processing industries; Hydrogen; Job shop scheduling; Laboratories; Oil refineries; Petroleum industry; Processor scheduling; Refining; C2R model; Hydrogen Network; Multiobjective; NSGA-II; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194852
  • Filename
    5194852