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

Abstract

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
Pages1564-1571
Number of pages8
ISBN (Electronic)9781775052029
DOIs
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

Conference

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

All Science Journal Classification (ASJC) codes

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

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