• DocumentCode
    3143577
  • Title

    Adaptive environmental control for optimal energy consumption in hospitals

  • Author

    Kaymaz, Emre

  • Author_Institution
    Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
  • fYear
    1995
  • fDate
    9-10 Jun 1995
  • Firstpage
    165
  • Lastpage
    172
  • Abstract
    A second order dynamical model of the heating/cooling process in a hospital building is simulated. A fuzzy logic controller (FLC) based on if-then control rules is designed and the performance of the FLC is compared with that of commonly used on/off and PI/PID controllers. Both the FLC and the PI/PID controllers outperform the on/off controller in terms of accuracy, as well as energy consumption. However, the FLC is more robust than the PI/PID controllers in that the FLC is much less sensitive to changes in system parameters and consumes less energy
  • Keywords
    computerised control; cooling; digital simulation; environmental engineering; fuzzy control; heating; medical computing; FLC; PI/PID controllers; adaptive environmental control; energy consumption; fuzzy logic controller; heating/cooling process; hospital building; hospitals; if-then control rules; on/off controller; optimal energy consumption; second order dynamical model; Adaptive control; Buildings; Cooling; Energy consumption; Fuzzy logic; Heating; Hospitals; Optimal control; Programmable control; Three-term control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1995., Proceedings of the Eighth IEEE Symposium on
  • Conference_Location
    Lubbock, TX
  • Print_ISBN
    0-8186-7117-3
  • Type

    conf

  • DOI
    10.1109/CBMS.1995.465434
  • Filename
    465434