• DocumentCode
    570412
  • Title

    An agent based building energy consumption model

  • Author

    Kara, D. ; Baxendale, P.

  • Author_Institution
    Sch. of Eng. & Comput. Sci., Univ. of Durham, Durham, UK
  • fYear
    2012
  • fDate
    21-24 May 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A building energy consumption model is presented. The purpose of the model is to provide a test bed to develop Dynamic Load Control (DLC) algorithms and investigate the implications of these to humans in office buildings. The idea of Dynamic Load Control is to manage loads in such a way that the power available from unpredictable sources can be utilized most effectively. In the case of buildings, loads need to be controlled in an unconventional way which might cause disruptions to occupants. To develop DLC algorithms and methods that have the least impact on the occupants, an agent based building energy consumption model that can run in small time steps is developed. The output of the model is compared with both the standard overall consumption values available from the literature and with real data collected from an office zone. The results show that the model is a promising tool for future DLC research.
  • Keywords
    building management systems; energy management systems; load regulation; multi-agent systems; power consumption; power engineering computing; DLC algorithms; agent-based building energy consumption model; dynamic load control algorithms; energy management; load management; multiagent systems; office buildings; Atmospheric modeling; Buildings; Computational modeling; Electricity; Energy consumption; Load modeling; Mathematical model; Energy Management; Load Management; Multiagent Systems; Power Demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies - Asia (ISGT Asia), 2012 IEEE
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4673-1221-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2012.6303237
  • Filename
    6303237