• DocumentCode
    2941645
  • Title

    Identification and model selection of building models

  • Author

    Zacekova, Eva ; Vana, Zdenek

  • Author_Institution
    Dept. of Control Eng., Czech Tech. Univ. in Prague, Prague, Czech Republic
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    1512
  • Lastpage
    1517
  • Abstract
    Besides retrofitting, modernization and new ways of construction of the buildings, the cheaper and recently a very popular approach how to optimize energy consumption is to employ better control algorithms for the buildings. Predictive control has proven to be a strategy useful in many industries and became a suitable option for the building sector as well. The main bottleneck of this approach is a need for a fine model. There exist a number of building models and identification approaches. This paper provides a brief survey of the building modeling approaches and discusses their properties and applicability for the predictive control. Having a number of potential models at hand, the procedure of the model selection suitable for predictive control is presented. Finally, the performance of the model selection procedure is examined in a two zone building. The results are then presented and the conclusions drown.
  • Keywords
    building management systems; energy consumption; identification; predictive control; building model identification; building model selection; energy consumption optimization; predictive control; two zone building; Buildings; Computational modeling; Data models; Heat transfer; Mathematical model; Predictive models; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265853
  • Filename
    6265853