How do buildings adapt to changing occupancy? A natural experiment

Brodie W. Hobson, Tareq Abuimara, H. Burak Gunay, Guy R. Newsham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most office buildings regulate their indoor climate through conservative setpoints and schedules based on maximum occupancy. However, the occupancy of most office buildings rarely exceeds 50%. Buildings' lack of adaptability to partial occupancy exacts a toll on their energy use by providing building services excessively and inefficiently. Largely vacant office buildings left in the wake of the COVID-19 pandemic present a natural experiment to evaluate the extent of this problem. Three-parameter univariate changepoint models were employed to estimate the change in energy use before and during the pandemic in two institutional office buildings: one with occupancy-based ventilation, and one with traditional ventilation. A calibrated energy model was developed for the traditional building to determine how much energy could have been saved if occupancy-based ventilation was implemented. It was found that the building could have saved up to 32% and 12% for heating and cooling, respectively, in the pre-pandemic period alone.

Original languageEnglish
Title of host publicationBS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication17th Conference of IBPSA
EditorsDirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
PublisherInternational Building Performance Simulation Association
Pages3465-3472
Number of pages8
ISBN (Electronic)9781775052029
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium
Duration: Sept 1 2021Sept 3 2021

Publication series

NameBuilding Simulation Conference Proceedings
ISSN (Print)2522-2708

Conference

Conference17th IBPSA Conference on Building Simulation, BS 2021
Country/TerritoryBelgium
CityBruges
Period9/1/219/3/21

ASJC Scopus subject areas

  • Building and Construction
  • Architecture
  • Modelling and Simulation
  • Computer Science Applications

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