The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The impact of occupants' behaviour on building energy demand
Open accessAbstract
Using extensive field survey data acquired over the past 8 years at the Solar Energy and Building Physics Laboratory at EPFL in Switzerland, comprehensive models of occupants' presence, opening and closing of windows and the raising and lowering of blinds have been developed. These new models have been integrated within a new urban energy modelling tool, called CitySim. In this article, we describe briefly the structure of CitySim together with the means for representing occupants' presence and behaviour, both deterministic and stochastic. For a hypothetical scenario, we then go on to present results from simulations of the impact that occupants' behaviour may have on the indoor environment in buildings as well as on buildings' energy demands. From this we conclude that occupants' behaviour has a significant impact (of the order of a factor of two) on buildings' energy demands and that individuals' diversity has a yet greater impact.
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Cites
Mixed-Effects Models in S and S-PLUS
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Lightswitch-2002: a model for manual and automated control of electric lighting and blinds
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User behavior in whole building simulation
Hoes, P., Hensen, J. L. M., Loomans, M. G. L. C., de Vries, B., & Bourgeois, D. (2009) · Energy and Buildings · doi:10.1016/j.enbuild.2008.09.008 · Cited by 613
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Interactions with window openings by office occupants
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Self-citationLow-energy dwellings: the contribution of behaviours to actual performance
Gill, Z. M., Tierney, M. J., Pegg, I. M., & Allan, N. (2010) · Building Research & Information · doi:10.1080/09613218.2010.505371 · Cited by 386
On the behaviour and adaptation of office occupants
Haldi, F., & Robinson, D. (2008) · Building and Environment · doi:10.1016/j.buildenv.2008.01.003 · Cited by 358
Self-citationOperable windows, personal control and occupant comfort.
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Cited by
Rethinking the role of occupant behavior in building energy performance: A review
Zhang, Y., Bai, X., Mills, F. P., & Pezzey, J. C. V. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2018.05.017 · Cited by 473
Fusing TensorFlow with building energy simulation for intelligent energy management in smart cities
Vázquez-Canteli, J. R., Ulyanin, S., Kämpf, J., & Nagy, Z. (2019) · Sustainable Cities and Society · doi:10.1016/j.scs.2018.11.021 · Cited by 195
Metadata
- Authors
- Haldi, F., & Robinson, D.
- Venue
- Journal of Building Performance Simulation
- Publisher
- Informa UK Limited
- Published
- 2011-12
- Volume
- 4
- Issue
- 4
- Pages
- 323-338
- ISSN
- 1940-1493 (ISSN-L)
- 1940-1507
- OpenAlex
- W2046535743
- Cited by
- 254
- References
- 24
- FWCI
- 20.77
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
