• DocumentCode
    2805293
  • Title

    Natural Ventilation Control System by Fuzzy Control Technology

  • Author

    Yifei, Chen ; Ku, Wang ; Wenguang, Dai

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    35
  • Lastpage
    38
  • Abstract
    The natural ventilation in building is well known as the way to improve indoor climate. But, the accurate opening area in window can not been controlled really for the many parameters complex relation as well as strong coupling each other. Of course, the comfortable indoor environment cannot be obtained, and on the other hand, building energy cost could be increased. For the improvement, the intelligent control system for natural ventilation by using fuzzy technology is presented in this thesis. Firstly, the main parameters effecting natural ventilation are discussed, and the raveled model is presented based on the natural ventilation caused by wind and thermals, and the linear relation between ventilated quantity(VQ) and window opening area is confirmed finally. Next, according to this relation, the window intelligent control system by using fuzzy technology is constructed, and it is researched and analyzed in this thesis too.
  • Keywords
    building management systems; fuzzy control; intelligent control; ventilation; building energy cost; fuzzy control technology; indoor climate; indoor environment; linear relation; natural ventilation control system; ventilated quantity; window intelligent control system; window opening area; Control systems; Equations; Fuzzy control; Fuzzy systems; Intelligent control; Intelligent networks; Temperature; Ventilation; Wind speed; Windows; fuzzy control; natural ventilation; ventilated quantity (VQ);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.18
  • Filename
    5362680