• DocumentCode
    2370697
  • Title

    Design and optimization of dispatching rules for elevator group control aiming at energy saving

  • Author

    Wang, Jing ; Mu, Xiaomu ; Xu, Jun ; Wang, Shuning

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    124
  • Lastpage
    127
  • Abstract
    In buildings with many elevators, elevator group control algorithm is used to efficiently dispatch the elevators to serve each hall call generated from different floors. Recent researches for energy saving of elevator system have attracted widespread interest, most of which achieve energy saving by minimizing the estimated energy consumption. This paper propose a rule-based algorithm for elevator group control, which focuses on design of dispatching rules for energy saving based on the inner mechanism of the elevator system. As the weights and other parameters for the rules matters a lot to the performance of the algorithm, coarse-to-fine searching strategy is used for optimization. It can overcome the combinatorial explosion of feasible set and the limitation of simulation platform. The proposed algorithm is tested on a very practical simulation platform. The result is reliable, and shows the efficiency of the algorithm on energy saving.
  • Keywords
    combinatorial mathematics; dispatching; energy conservation; lifts; optimisation; search problems; coarse-to-fine searching strategy; combinatorial explosion; dispatching rule design; dispatching rule optimization; elevator dispatch; elevator group control algorithm; elevator system; energy consumption minimization; energy saving; hall call; rule-based algorithm; Algorithm design and analysis; Control systems; Dispatching; Elevators; Energy consumption; Floors; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2012 International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-1-4577-0343-0
  • Type

    conf

  • DOI
    10.1109/ICIST.2012.6221620
  • Filename
    6221620