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

Yingli Lou; Yunyang Ye; Wangda Zuo; Jian Zhang

doi:10.26868/25222708.2021.30426

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

Yingli Lou
, Yunyang Ye
, Wangda Zuo
, Jian Zhang

Architectural Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	BS 2021 - Proceedings of Building Simulation 2021
Subtitle of host publication	17th Conference of IBPSA
Editors	Dirk Saelens, Jelle Laverge, Wim Boydens, Lieve Helsen
Publisher	International Building Performance Simulation Association
Pages	1564-1571
Number of pages	8
ISBN (Electronic)	9781775052029
DOIs	https://doi.org/10.26868/25222708.2021.30426
State	Published - 2022
Event	17th IBPSA Conference on Building Simulation, BS 2021 - Bruges, Belgium Duration: Sep 1 2021 → Sep 3 2021

Publication series

Name	Building Simulation Conference Proceedings
ISSN (Print)	2522-2708

Conference

Conference	17th IBPSA Conference on Building Simulation, BS 2021
Country/Territory	Belgium
City	Bruges
Period	9/1/21 → 9/3/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Building and Construction
Architecture
Modeling and Simulation
Computer Science Applications

Access to Document

10.26868/25222708.2021.30426

Cite this

Lou, Y., Ye, Y., Zuo, W., & Zhang, J. (2022). Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School. In D. Saelens, J. Laverge, W. Boydens, & L. Helsen (Eds.), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA (pp. 1564-1571). (Building Simulation Conference Proceedings). International Building Performance Simulation Association. https://doi.org/10.26868/25222708.2021.30426

Lou, Yingli ; Ye, Yunyang ; Zuo, Wangda et al. / Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School. BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. editor / Dirk Saelens ; Jelle Laverge ; Wim Boydens ; Lieve Helsen. International Building Performance Simulation Association, 2022. pp. 1564-1571 (Building Simulation Conference Proceedings).

@inproceedings{6548a4c518ea41c5b24ece81b75e4a15,

title = "Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School",

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.",

author = "Yingli Lou and Yunyang Ye and Wangda Zuo and Jian Zhang",

note = "Publisher Copyright: {\textcopyright} International Building Performance Simulation Association, 2022; 17th IBPSA Conference on Building Simulation, BS 2021 ; Conference date: 01-09-2021 Through 03-09-2021",

year = "2022",

doi = "10.26868/25222708.2021.30426",

language = "English (US)",

series = "Building Simulation Conference Proceedings",

publisher = "International Building Performance Simulation Association",

pages = "1564--1571",

editor = "Dirk Saelens and Jelle Laverge and Wim Boydens and Lieve Helsen",

booktitle = "BS 2021 - Proceedings of Building Simulation 2021",

}

Lou, Y, Ye, Y, Zuo, W & Zhang, J 2022, Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School. in D Saelens, J Laverge, W Boydens & L Helsen (eds), BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. Building Simulation Conference Proceedings, International Building Performance Simulation Association, pp. 1564-1571, 17th IBPSA Conference on Building Simulation, BS 2021, Bruges, Belgium, 9/1/21. https://doi.org/10.26868/25222708.2021.30426

Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School. / Lou, Yingli; Ye, Yunyang; Zuo, Wangda et al.
BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. ed. / Dirk Saelens; Jelle Laverge; Wim Boydens; Lieve Helsen. International Building Performance Simulation Association, 2022. p. 1564-1571 (Building Simulation Conference Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School

AU - Lou, Yingli

AU - Ye, Yunyang

AU - Zuo, Wangda

AU - Zhang, Jian

N1 - Publisher Copyright: © International Building Performance Simulation Association, 2022

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85151523784

UR - https://www.scopus.com/pages/publications/85151523784#tab=citedBy

U2 - 10.26868/25222708.2021.30426

DO - 10.26868/25222708.2021.30426

M3 - Conference contribution

AN - SCOPUS:85151523784

T3 - Building Simulation Conference Proceedings

SP - 1564

EP - 1571

BT - BS 2021 - Proceedings of Building Simulation 2021

A2 - Saelens, Dirk

A2 - Laverge, Jelle

A2 - Boydens, Wim

A2 - Helsen, Lieve

PB - International Building Performance Simulation Association

T2 - 17th IBPSA Conference on Building Simulation, BS 2021

Y2 - 1 September 2021 through 3 September 2021

ER -

Lou Y, Ye Y, Zuo W, Zhang J. Energy Prediction Impact of the Space Level Occupancy Schedule for a Primary School. In Saelens D, Laverge J, Boydens W, Helsen L, editors, BS 2021 - Proceedings of Building Simulation 2021: 17th Conference of IBPSA. International Building Performance Simulation Association. 2022. p. 1564-1571. (Building Simulation Conference Proceedings). doi: 10.26868/25222708.2021.30426

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

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this