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Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization

Before 2020, the way occupants utilized the built environment had been changing slowly towards scenarios in which occupants have more choice and flexibility in where and how they work. The global COVID-19 pandemic accelerated this phenomenon rapidly through lockdowns and hybrid work arrangements. Many occupants and employers are considering keeping some of these flexibility-based strategies due to their benefits and cost impacts. This paper simulates various scenarios related to the operational technologies and policies of a real-world campus using a district-scale City Energy Analyst (CEA) model that is calibrated with measured energy and occupancy profiles extracted from WiFi data. These scenarios demonstrate the energy impact of ramping building operations up and down more rapidly and effectively to the flex-based work strategies that may solidify. The scenarios show a 4-12% decrease in space cooling demand due to occupant absenteeism if centralized building system operation is in place, but as high as 21-68% if occupancy-driven building controls are implemented. The paper discusses technologies and strategies that are important in this paradigm shift of operations.
Building and Environment post-print
- National University of Singapore Singapore
- Nationl University of Singapore Singapore
- Singapore-ETH Centre Singapore
FOS: Computer and information sciences, Physics - Physics and Society, flexible work arrangements, data-driven occupancy modeling, FOS: Physical sciences, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), urban building energy modeling, Electrical Engineering and Systems Science - Systems and Control, 620, demand response strategies, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multiagent Systems, Multiagent Systems (cs.MA)
FOS: Computer and information sciences, Physics - Physics and Society, flexible work arrangements, data-driven occupancy modeling, FOS: Physical sciences, Physics and Society (physics.soc-ph), Systems and Control (eess.SY), urban building energy modeling, Electrical Engineering and Systems Science - Systems and Control, 620, demand response strategies, FOS: Electrical engineering, electronic engineering, information engineering, Computer Science - Multiagent Systems, Multiagent Systems (cs.MA)
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).9 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.Top 10% 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.Top 10%
