Narrowing the performance deficit between design intent and real-time environmental and energy performance of buildings is a complex and involved task, impacting on all building stakeholders. Buildings are designed, built and operated with the use of increasingly complex technology and throughout their building life-cycle, produce vast quantities of data. However, many commercial buildings do not perform as originally intended. This paper presents a a dual strand approach to the performance gap problem, describing how heterogeneous building data sources can be transformed into semantically enriched information. This data can serve as a data service for a structured performance analysis approach, at the enterprise level. A performance management framework is described which builds on the semantically enriched information. The performance framework is an approach to performance management which describes performance in a series of objectives which can be evaluated against performance data. The demonstrator illustrates how heterogeneous data can be published semantically and then interpreted using a cross life-cycle performance framework approach.
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Snyder et al. (1977) studied this question.