Peer-Reviewed Journal Details
Mandatory Fields
Bruton, K., Raftery, P., Kennedy, B., Keane, M.M., & O'Sullivan, D.T.J.
2013
November
Energy Efficiency
Review of automated fault detection and diagnosis tools in air handling units.
Published
()
Optional Fields
Heating ventilation and air conditioning (HVAC), Fault detection and diagnosis (FDD), Energy efficient buildings, Commissioning, Air handling unit (AHU)
7
335
351
Studies have indicated that 2030 % HVAC system energy savings are achievable by recommissioningair handling units (AHU) to rectify faulty operation. Studies have also demonstrated that on-going 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) is a process concerned with automating the detection of faults and their causes in physical systems. AFDD can be used to assist the commissioning process at multiple stages. This article presents a review of the research work that has been carried out on the use of AFDD tools in improving the efficiency of AHUs. This updates and expands upon the most recent literature review in this area, published in 2005. The article offers a comparative analysis of the FDD techniques currently in use and offers an opinion as to which show most potential for widespread adoption aspart of the on-going commissioning process. It then details the issues which have impeded the adoption of existing AFDD tools for AHUs to date before concluding with an appraisal of current and recommended areas for future research to overcome the barriers to the widespread adoption of AFDD tools in AHUs.
10.1007/s12053-013-9238-2
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