Automated Fault Detection For AHUs

Automated fault Detection for AHUs

Project Title: Automated Fault Detection for AHUs

Researcher: Intelligent Efficiency Research Group (Lead PI: Dr Dominic O’Sullivan)

End date: Aug 2014


Project description:  Heating Ventilation and Air Conditioning (HVAC) system energy consumption on average accounts for 40% of an industrial sites total energy consumption. Building systems, of which HVAC is one, rarely perform as well in practice as anticipated during design due to improper equipment selection or installation, lack of commissioning, or improper maintenance. AHU operations are typically supervised and maintained by either an onsite facilities team or an offsite third party contractor. The number of AHU’s in a typical large commercial or manufacturing site HVAC system often outnumbers those supervising and maintaining the system by 20 to 1. This means that routine mechanical maintenance is typically carried out only when necessary due to an end user complaint, a machine breakdown or a breached alarm limit. Studies have indicated that 20 – 30% energy savings are achievable by re-commissioning Air Handling Units (AHU) in HVAC systems to rectify faulty operation. IERG have worked in collaboration with i2e2 on the development of an AFDD tool since 2011. The beta version of this cross BMS platform, cloud based tool is now operational across seven commercial and industrial sites. To date, over €160,000 of energy savings have been identified by the tool and have subsequently been verified by site survey by the IERG team.

Environmental Research Institute

University College Cork, Lee Road, Cork