• DocumentCode
    2034564
  • Title

    Application of Projection Pursuit Model (PP) in Evaluation of Thermal Comfort Based on GA

  • Author

    Shi, Zhigang ; Hu, Songtao ; Li, Angui

  • Author_Institution
    Inst. of Environ. & Municipal Eng., Qingdao Technol. Univ., Qingdao
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For the evaluation of indoor thermal comfort, the assessment for main factors, such as air temperature, velocity, relative humidity and mean radiation temperature, are independent and incompatible. In this paper, PPE model was established for thermal comfort evaluation, and also GA was selected to optimize the projection direction. Therefore multi-dimension data could be changed into low dimension space. This model can give a comprehensive assessment projection index based on the indexes of the four main factors of thermal comfort. The validation results from the case study indicated that the method presented in this paper was reasonable, and the weight coefficient could be determined more objectively. It could be concluded that a new thought was provided for indoor thermal comfort.
  • Keywords
    atmospheric temperature; genetic algorithms; humidity; pattern clustering; statistical analysis; thermal analysis; GA; PPE model; air temperature; assessment projection index; cluster analysis model; indoor thermal comfort; mean radiation temperature; projection direction; projection pursuit model; relative humidity; thermal comfort evaluation; velocity; weight coefficient; Clothing; Concrete; Data analysis; Environmental factors; Humans; Humidity; Multidimensional systems; Temperature; Thermal engineering; Thermal factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5072748
  • Filename
    5072748