From Personal Comfort to District Performance
Using Smartwatch and WiFi Data for Occupant-Driven Operation
Martin Mosteiro Romero (National University of Singapore, Singapore-ETH Centre)
Matias Quintana (Singapore-ETH Centre)
Clayton Miller (National University of Singapore)
Rudi Stouffs (National University of Singapore)
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Abstract
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.
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