• DocumentCode
    237742
  • Title

    Stochastic chiller sequencing control for multiple-chiller plants

  • Author

    Gongsheng Huang ; Zhengwei Li

  • Author_Institution
    Dept. of Civil & Archit. Eng., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1085
  • Lastpage
    1090
  • Abstract
    This paper deals with the uncertainties associated with total cooling load (TCL)-based chiller sequencing control. The TCL-based control determines the switch-on/off thresholds according to building instantaneous cooling load and chiller maximum cooling capacity. One challenge for practical applications of this method is that the measure of the cooling load and the estimate of the chiller maximum cooling capacity suffer heavily from uncertainties. To deal with the uncertainties, a stochastic chiller sequencing control is proposed in this paper. The switch-on/off thresholds are determined in the framework of statistics. An algorithm to realize the stochastic control is developed. Case studies compare the stochastic control with the conventional deterministic method, and the results show that the proposed method can improve the robustness of chiller sequencing operation.
  • Keywords
    air conditioning; control engineering; cooling; TCL-based control; chiller maximum cooling capacity; chiller sequencing operation; cooling load; multiple-chiller plants; stochastic chiller sequencing control; switch-on/off thresholds; total cooling load-based chiller sequencing control; Buildings; Cooling; Fluid flow measurement; Sequential analysis; Switches; Temperature measurement; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2014 IEEE International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/CoASE.2014.6899460
  • Filename
    6899460