Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School

Yingli Lou, Yunyang Ye, Wangda Zuo, Jian Zhang

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


By using the same occupant schedule for all spaces, a building level occupancy schedule in building energy modelling can reduce the cost and time of data collection, especially for large-scale simulations or when detailed occupancy data cannot be obtained. However, by describing the unique occupancy status in each space, a space level schedule can better reflect real-world scenarios. This research investigates the energy prediction impact of a space level occupancy schedule for primary school modelling in 16 ASHRAE climate zones. The results show that when switched from a building level to a space level occupancy schedule, the energy prediction difference is between -1.0% and 0.8%. Generally, the predicted building energy consumption using a space level occupancy schedule is higher than when using a building level occupancy schedule in hot and warm climate zones, but lower in other climate zones.

Original languageEnglish (US)
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
Number of pages8
ISBN (Electronic)9781775052029
StatePublished - 2022
Event17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium
Duration: Sep 1 2021Sep 3 2021

Publication series

NameBuilding Simulation Conference Proceedings
ISSN (Print)2522-2708


Conference17th IBPSA Conference on Building Simulation, BS 2021

All Science Journal Classification (ASJC) codes

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

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