Analyse building performance data for energy-efficient building operation

Modern buildings will contain an increasing number of wireless sensors and meters to monitor the building performance. This data allows improved analysis of building performance to increase the energyefficiency along with user comfort. This paper presents two approaches to analyse building performance data. One solution uses data warehouse techniques to create sophisticated energy consumption aggregations. A second approach implements data mining techniques to estimate the thermal comfort of occupants with a reduced number of sensors. This paper interprets the knowledge gained using, as an example, University College Cork’s building of the Environmental Research Institute to demonstrate the feasibility of this approach.