• DocumentCode
    3729631
  • Title

    Demand response capability assessment for buildings based on simulation and model simplification

  • Author

    Fan Yang;Qinglai Guo;Zhaoguang Pan;Hongbin Sun;Da Yan

  • Author_Institution
    State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Issues such as energy shortage and global warming become prominent. Meanwhile, the rapid growth of the load makes the grid pay more attention to demand side. Demand response (DR) is an effective tool to change the shape of the load. Usually buildings consume much energy, and also have great DR capability. It is crucial to assess the DR capability of buildings, which is a tough task because the building model is very complex to make strategy efficiently. This paper proposes a method to deal with this problem. A building simulation software named DeST is used to generate cooling load with different condition. Then the data is used to simplify the accurate model into a 4th-order model, which is used in a cost minimizing problem. DR capability of a typical commercial building in Beijing is assessed as a case study under time of use (TOU) pricing.
  • Keywords
    "Buildings","Load modeling","Data models","Global warming","Shape","Software","Cooling"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7380929
  • Filename
    7380929