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From Personal Comfort to District Performance: Using Smartwatch and WiFi Data for Occupant-Driven Operation
This work proposes the use of a data-driven, agent-based model of building occupants’ activities and thermal comfort in an urban university campus in order to assess how district operation strategies can be leveraged to support the transition to flexible work arrangements. The results show that when users are given the flexibility to pursue more comfortable workspaces, they are still comfortable only 58% of the time.
BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
ISBN:979-8-4007-0230-3
- National University of Singapore Singapore
- ETH Zurich Switzerland
Agent-based modeling, Agent-based modeling; Urban building energy modeling; Thermal comfort; Occupant-centric, Occupant-centric, Thermal comfort, Urban building energy modeling
Agent-based modeling, Agent-based modeling; Urban building energy modeling; Thermal comfort; Occupant-centric, Occupant-centric, Thermal comfort, Urban building energy modeling
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
