• DocumentCode
    523019
  • Title

    Pipe Resistance Identification of an Experimental Heat-supply Network Based on Minimal Norm and GA Methods

  • Author

    Liu, Yong-Xin ; Zou, Ping-Hua

  • Author_Institution
    Sch. of Municipal & Environ. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    50
  • Lastpage
    53
  • Abstract
    Based on minimal norm generalize inverse of continuity equation method, pipe resistance identification method is proposed herein. On the basis, identification method based on genetic algorithm (GA) is applied. Then, identification results of the two pipe resistance of heat-supply network identification methods are quantitative compared when all the nodes pressures are available. The pipe resistance identification of heat-supply networks is studied by an experimental heat-supply network. The above identification processes are verified in experimental case study, so the two pipe resistance of heat-supply network identification methods can be applied to actual heat-supply networks.
  • Keywords
    genetic algorithms; heat pipes; pipes; GA methods; continuity equation method; experimental heat-supply network; genetic algorithm; heat-supply network identification methods; minimal norm; pipe resistance identification; Analytical models; Computer networks; DH-HEMTs; Electronic mail; Equations; Genetic algorithms; Heat engines; Network topology; Pressure measurement; Resistance heating; GA; identification; minimal norm solution; numerical simulation; pipe resistance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi, Jiang Su
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.19
  • Filename
    5514237