• DocumentCode
    1796823
  • Title

    Energy Efficient HVAC System with Distributed Sensing and Control

  • Author

    Cheng Li ; Zhenjiang Li ; Mo Li ; Meggers, Forrest ; Schlueter, Arno ; Hock Beng Lim

  • fYear
    2014
  • fDate
    June 30 2014-July 3 2014
  • Firstpage
    429
  • Lastpage
    438
  • Abstract
    This paper presents our implementation experience in building an energy efficient HVAC system for cooling and air conditioning. The system exercises the "low exergy" theory and leverages high temperature water (18°C) cooling for better energy efficiency. In order to achieve this, the system decomposes the cooling and dehumidification functionalities, and employs decentralized air control for on-demand dehumidification and ventilation. The system comprises two control modules, namely, radiant cooling module and distributed ventilation module, cooperating with each other to provide the HVAC control. Abundant sensors and embedded control devices are customized and instrumented, and we develop a wireless sensor network to support control data exchange among those devices. Our experimental evaluation demonstrates that the system achieves accurate control targets and promptly responses to environment dynamics. The wireless sensor network effectively supports the system needs with long system lifespan. Compared with traditional HVAC systems, our system is of much higher energy efficiency, as measured by the standard Coefficient of Performance (COP) metric.
  • Keywords
    HVAC; air conditioning; building management systems; control engineering computing; distributed control; embedded systems; wireless sensor networks; COP; HVAC systems; abundant sensors; air conditioning; building; coefficient of performance metric; control data exchange; dehumidification functionalities; distributed control; distributed sensing; embedded control devices; energy efficient HVAC system; low exergy; on-demand dehumidification; radiant cooling module; ventilation; wireless sensor network; Humidity; Temperature measurement; Temperature sensors; Ventilation; Distributed control; Energy efficiency; HVAC; Wireless Sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on
  • Conference_Location
    Madrid
  • ISSN
    1063-6927
  • Print_ISBN
    978-1-4799-5168-0
  • Type

    conf

  • DOI
    10.1109/ICDCS.2014.51
  • Filename
    6888919