Over the past decade buildings have become much more complex technical artefacts due to the
fact that numerous energy co-generation and storage capabilities can be integrated into buildings. The integrated,
complementing operation of generation, storage, and building services systems is not a trivial task.
Numerous data streams need to be analysed to ensure that the operation of the aforementioned systems contributes
to overall energy savings and CO2-reductions without undermining the tenants’ comfort and wellbeing in
those buildings. One could assume that through the emergence of wireless monitoring systems an improved
knowledge base can be quickly and efficiently build-up to support the decisions which must be made by building
automation systems or systems’ operators. However, the pure availability of additional data compiled from
sensors, meters, access control systems and local weather stations can worsen the situation in case the compiled
data is incomplete or of insufficient quality. Therefore, this paper discusses the question of why and how to
assess the quality of Building Performance Data.