• DocumentCode
    2139324
  • Title

    Utilization of intelligent control algorithms for thermal comfort optimization and energy saving

  • Author

    Nowak, Mariusz ; Urbaniak, Andrzej

  • Author_Institution
    Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan, Poland
  • fYear
    2011
  • fDate
    25-28 May 2011
  • Firstpage
    270
  • Lastpage
    274
  • Abstract
    In the paper there are presented the problems of optimal control for indoor thermal comfort in buildings equipped with HVAC (Heating, Ventilation and Air Conditioning) systems. It is very important that the design of such control systems allows to minimize the energy consumption. There are discussed the results of air-conditioning system simulation and there is given an example of simulation model of a room and mathematical model of thermal comfort. Fuzzy control algorithms and model predictive control algorithms are used in the hierarchical structure of climate comfort control system. The tuning of predictive controllers is discussed in the paper, too.
  • Keywords
    HVAC; fuzzy control; intelligent control; minimisation; optimal control; predictive control; HVAC; climate comfort control system; energy consumption minimization; energy saving; fuzzy control algorithm; heating-ventilation-and-air conditioning system; indoor thermal comfort; intelligent control algorithm; model predictive control algorithm; optimal control; thermal comfort optimization; Atmospheric modeling; Indexes; Mathematical model; Optimization; Prediction algorithms; Predictive models; Process control; HVAC system; energy saving; intelligent control; model predictive control; thermal comfort;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Carpathian Control Conference (ICCC), 2011 12th International
  • Conference_Location
    Velke Karlovice
  • Print_ISBN
    978-1-61284-360-5
  • Type

    conf

  • DOI
    10.1109/CarpathianCC.2011.5945862
  • Filename
    5945862