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- W2182173868 abstract "Uncertainty in building occupancy can lead to significant variations in electric lighting use. In its first six months of operation, the National Renewable Energy Laboratory’s Research Support Facility (RSF) exceeded its modeled electric lighting energy budget because of unanticipated occupancy patterns in the evenings. This experience highlights the potential usefulness of modeling occupancy uncertainty and its impact on loads such as lighting energy use, while at the same time pointing out the difficulty of appropriately bracketing and quantifying all reasonable scenarios. In this paper we build on the RSF example to develop models for uncertainty in electric lighting use caused by uncertainty in building occupancy and interactions with lighting controls, especially in office buildings with open work space. The models so developed may be used by engineers and architects to understand how lighting control strategies affect energy usage under occupancy uncertainty. We also use our models to reflect on the RSF modeling process, and subsequent experience with the physical building and lighting use mitigation strategies." @default.
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- W2182173868 date "2012-01-01" @default.
- W2182173868 modified "2023-09-27" @default.
- W2182173868 title "Occupancy Driven Uncertainty in Electric Lighting Use: Modeling a Case Study" @default.
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