Abstract
The goal of this chapter is to convey a novel approach to overcoming the limitations of case study research of building occupant behavior in workplace settings by pooling samples and creating a synthetic population of building occupants and behaviors. Synthetic populations can be used by researchers and designers of buildings to develop more accurate models of performance and behavior (Andrews et al. 2016). In the example presented here, three disparate field studies of workplace settings are combined into a larger database that is enhanced through the generation of a statistically similar synthetic data set.
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Acknowledgements
This research was supported by the Consortium for Building Energy Innovation, sponsored by the US Department of Energy Award Number DE-EE0004261.
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Senick, J.A., Andrews, C.J., Putra, H.C., Tsoulou, I., Allacci, M.S. (2018). Synthetic Populations of Building Office Occupants and Behaviors. In: Preiser, W., Hardy, A., Schramm, U. (eds) Building Performance Evaluation. Springer, Cham. https://doi.org/10.1007/978-3-319-56862-1_5
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DOI: https://doi.org/10.1007/978-3-319-56862-1_5
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