K. Bruton, D. Coakley, P. O'Donovan, M. Keane, D. O’Sullivan
{"title":"Results from testing of a “cloud based” automated fault detection and diagnosis tool for AHU's","authors":"K. Bruton, D. Coakley, P. O'Donovan, M. Keane, D. O’Sullivan","doi":"10.1109/ETFA.2013.6647989","DOIUrl":null,"url":null,"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.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2013.6647989","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.