• DocumentCode
    3206437
  • Title

    Study on comfort environment oriented building energy consumption intelligent management system

  • Author

    Qiang Guan ; Yu Liu

  • Author_Institution
    Inst. of Autom., Beijing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    5880
  • Lastpage
    5884
  • Abstract
    The IOT-based building energy consumption management system, as an important technology management means for energy efficiency, is prevalent and applied widely. Nevertheless, the requirement of occupant comfort environment is rarely considered in most previous studies. In this paper, based on intelligent sensing technology, we put forward a novel system framework for building energy consumption management systems, which focuses on providing the comfort environment for occupants in energy saving. Firstly, the energy efficiency sensing and control unit is developed, which consists of several sensors for environment comfort evaluation and data fusion. In addition, the feedback control is realized in this unit through multi-sensor integration and GPIO ports. The concept of collaborating with people, machine and substance is reflected in the working process of this unit. Secondly, the relation between environment factors and energy consumption control is clearly described with the event-based ECA-rules. The real-time response to environment sensing and energy consumption data streams is achieved by utilizing complex event processing. Finally, the application scenarios show the benefits of the proposed system architecture.
  • Keywords
    building management systems; energy conservation; intelligent sensors; power consumption; sensor fusion; GPIO ports; building energy consumption; data fusion; energy efficiency control unit; energy efficiency sensing; energy saving; environment comfort evaluation; environment sensing; event-based ECA-rules; feedback control; intelligent management system; intelligent sensing technology; multisensor integration; occupant comfort environment; real-time response; Artificial intelligence; Biological system modeling; Buildings; Electronic mail; Energy consumption; Sensors; building energy consumption management; comfort environment; complex event processing; multi-sensor integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7161861
  • Filename
    7161861