Abstract

The term prediction commonly denotes analysis of building designs, for instance, in view of their future energy demand. The notion of is invoked, when actual performance of buildings does not match preceding predictions. There has been a recent trend to attribute so-called energy performance gap predominantly (sometimes even entirely) to user behavior. As a consequence, a number of research efforts (subsumed hear as the performance gap research program) pursue more accurate predictions of user behavior and exploitation of user-related energy efficiency potential via behavioral modification. In present contribution, we critically revisit premises and orientation of these efforts. Firstly, we suggest to situate related discourse within a structured conceptual framework to objectively discuss spectrum of potential contributors to errors in building energy use predictions. Secondly, we examine frequently purported utility of probabilistic methods and uncertainty analysis as an effectual remedy to problem of performance gap.

Highlights

  • Numeric simulation tools can support the analysis of buildings’ physical behavior (Clarke, 2007)

  • A relevant question in this context is as follows: In the absence of such rich and comprehensive empirical information on user behavior, can certain types of formal and simulation-supported analysis methods and tools aid building design and operation professionals in view of systematic energy performance specification and projection, while taking the occupancy factors into account? We briefly address some aspects of this possibility of the paper

  • We provided a critical analysis of the “performance gap” notion and the associated research program

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Summary

Introduction

Numeric simulation tools can support the analysis of buildings’ physical behavior (Clarke, 2007). As alluded to in the introduction, people’s assumed impact on buildings’ energy performance has triggered a number of research efforts into the patterns and implications of occupants’ controloriented behavior in buildings.

Results
Conclusion

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