Influencing occupant window use through behaviour-nudging algorithms

• Inappropriate operation of windows contributes to building energy inefficiencies • Adjusting temperature setpoints is more influential than relying on visual cues • Behaviour-nudging algorithms can reduce heating and cooling energy demand • Survey results suggest behaviour-nudging algorithms did not negatively impact occupant comfort Operable windows are essential as they can provide natural ventilation, reduce the need for mechanical ventilation, and improve occupant comfort. However, window use needs to be regulated to avoid unnecessary energy consumption. This paper presents findings from field tests conducted in a living-lab facility with 24 private offices to explore the potential benefits of implementing nudging signals to adjust occupants’ window use behaviour and energy demand. The study involved three phases of nudging: Setback and Keep (SK), where the temperature setpoint was adjusted and maintained (kept) until the window closed and the occupant intervened; Setback and Revert with Backlight (SB), where the temperature setpoint was adjusted and reverted immediately to the occupant’s preferred setpoint once the window was closed; and Backlight-Only (BO) phase, which were all compared with each other and against previously collected historical data. The study found that all three interventions reduced window opening durations when natural ventilation was not ideal, with the SK intervention being the most effective during extreme temperatures. The study also determined that heating energy demand was reduced by approximately 38% and 35% after the SK intervention and the SB intervention, respectively, and increased by approximately 4% after the BO intervention. Additionally, the SB intervention realized cooling energy savings of approximately 20%. Furthermore, a survey revealed that the thermostat backlight colours were noticeable and influential. These findings demonstrate that behaviour-nudging algorithms are effective at regulating window use and improving energy performance in mixed-mode buildings.

Institutions

Publication Details

Journal
Building and Environment
Published
2025-11-28
DOI
https://doi.org/10.1016/j.buildenv.2025.114074
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influencing occupant window use through behaviour-nudging algorithms

Building and Environment
Building Energy and Comfort Optimization
article

Influencing occupant window use through behaviour-nudging algorithms

article en

Abstract

• Inappropriate operation of windows contributes to building energy inefficiencies • Adjusting temperature setpoints is more influential than relying on visual cues • Behaviour-nudging algorithms can reduce heating and cooling energy demand • Survey results suggest behaviour-nudging algorithms did not negatively impact occupant comfort Operable windows are essential as they can provide natural ventilation, reduce the need for mechanical ventilation, and improve occupant comfort. However, window use needs to be regulated to avoid unnecessary energy consumption. This paper presents findings from field tests conducted in a living-lab facility with 24 private offices to explore the potential benefits of implementing nudging signals to adjust occupants’ window use behaviour and energy demand. The study involved three phases of nudging: Setback and Keep (SK), where the temperature setpoint was adjusted and maintained (kept) until the window closed and the occupant intervened; Setback and Revert with Backlight (SB), where the temperature setpoint was adjusted and reverted immediately to the occupant’s preferred setpoint once the window was closed; and Backlight-Only (BO) phase, which were all compared with each other and against previously collected historical data. The study found that all three interventions reduced window opening durations when natural ventilation was not ideal, with the SK intervention being the most effective during extreme temperatures. The study also determined that heating energy demand was reduced by approximately 38% and 35% after the SK intervention and the SB intervention, respectively, and increased by approximately 4% after the BO intervention. Additionally, the SB intervention realized cooling energy savings of approximately 20%. Furthermore, a survey revealed that the thermostat backlight colours were noticeable and influential. These findings demonstrate that behaviour-nudging algorithms are effective at regulating window use and improving energy performance in mixed-mode buildings.

Building and EnvironmentVol. 289
National University of Singapore (SG), Surrey Memorial Hospital (CA), Concordia University (CA), Carleton University (CA)
Affordable and clean energy
Openalex Percentile: Top 45%
Building Energy and Comfort Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Influencing occupant window use through behaviour-nudging algorithms · Building and Environment (2025) | TGRS Research Map | TGRS