Thermostat Control and Window Opening: Impact on Indoor Environmental Conditions and Building Performance

This paper investigates thermostat interventions and window openings across 77 offices during the heating and transition seasons of 2023. A cloud-based heating controller, that takes user preferences and anticipated presence schedules, was evaluated in two buildings of the Living Lab Energy Campus (LLEC) at Forschungszentrum Jülich, Germany. Occupants adjust the setpoint via a web-based interface or local interaction. Data on indoor and outdoor environmental parameters, occupancy and occupant behavior, and heating consumption were collected. Additionally, a web-based survey was conducted in March 2024 for further insights. The results indicate that the heating controller effectively adapts to user preferences and occupancy patterns, significantly influencing heating consumption, alongside the impact of building construction age. Besides, an initial economic evaluation revealed that the implemented measures resulted in approximately 18.5% energy savings. The heating controller combined with window openings maintained indoor thermal comfort, with 63.7% of occupants preferring no change in the indoor temperature, and 83.5% reported acceptance of the indoor thermal conditions. About 69% of respondents attributed their satisfaction with room control to their accessibility to different control options. Space orientation was found to be an important factor affecting temperature setpoints and window opening duration.

Authors

Publication Details

Journal
Proceedings of BauSIM
Published
2024-09-23
DOI
https://doi.org/10.26868/29761662.2024.59
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.27

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article

Thermostat Control and Window Opening: Impact on Indoor Environmental Conditions and Building Performance

Ghadeer Derbas, Eziama Ubachukwu, Dirk Müller, Philipp Althaus et al.
1 citations
Proceedings of BauSIM
Building Energy and Comfort Optimization
0.27
article

Thermostat Control and Window Opening: Impact on Indoor Environmental Conditions and Building Performance

Ghadeer Derbas, Eziama Ubachukwu, Dirk Müller, Philipp Althaus, André Xhonneux
article en
1 citations

Abstract

This paper investigates thermostat interventions and window openings across 77 offices during the heating and transition seasons of 2023. A cloud-based heating controller, that takes user preferences and anticipated presence schedules, was evaluated in two buildings of the Living Lab Energy Campus (LLEC) at Forschungszentrum Jülich, Germany. Occupants adjust the setpoint via a web-based interface or local interaction. Data on indoor and outdoor environmental parameters, occupancy and occupant behavior, and heating consumption were collected. Additionally, a web-based survey was conducted in March 2024 for further insights. The results indicate that the heating controller effectively adapts to user preferences and occupancy patterns, significantly influencing heating consumption, alongside the impact of building construction age. Besides, an initial economic evaluation revealed that the implemented measures resulted in approximately 18.5% energy savings. The heating controller combined with window openings maintained indoor thermal comfort, with 63.7% of occupants preferring no change in the indoor temperature, and 83.5% reported acceptance of the indoor thermal conditions. About 69% of respondents attributed their satisfaction with room control to their accessibility to different control options. Space orientation was found to be an important factor affecting temperature setpoints and window opening duration.

Proceedings of BauSIMVol. 10
Palestine Technical University Kadoorie, Bundesministerium für Bildung und Forschung
Openalex Percentile: Top 41%
Building Energy and Comfort Optimization
0.27
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Thermostat Control and Window Opening: Impact on Indoor Environmental Conditions and Building Performance — Ghadeer Derbas, Eziama Ubachukwu, et al. · Proceedings of BauSIM (2024) | TGRS Research Map | TGRS