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
Link To Document :
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