• DocumentCode
    1948909
  • Title

    Results from testing of a “cloud based” automated fault detection and diagnosis tool for AHU´s

  • Author

    Bruton, Ken ; Coakley, Daniel ; Donovan, Peter O. ; Keane, Marcus M. ; O´Sullivan, D.T.J.

  • Author_Institution
    Dept. of Civil & Environ. Eng., Univ. Coll., Cork, Ireland
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Heating Ventilation and Air Conditioning (HVAC) system energy consumption, on average, accounts for 40% of an industrial site´s total energy consumption. Studies have demonstrated that continuous commissioning of building systems for optimum efficiency can yield savings of an average of over 20% of total energy cost. Automated Fault Detection and Diagnosis (AFDD) can be used to assist the commissioning process at multiple stages. This paper outlines the development of an AFDD tool for AHU´s using expert rules. It outlines the results of the alpha testing phase of the tool on 18 AHU´s across four commercial & industrial sites with over €104,000 annual energy savings detected by the AFDD tool.
  • Keywords
    HVAC; building management systems; fault diagnosis; AFDD tool; AHU; HVAC system; alpha testing phase; building systems; cloud based automated fault detection and diagnosis tool; expert rules; heating ventilation and air conditioning system; Buildings; Coils; Educational institutions; Graphical user interfaces; Maintenance engineering; Measurement uncertainty; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6647989
  • Filename
    6647989