Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution

Simon Pommerencke Melgaard; Hicham Johra; Victor Ørsøe Nyborg; Anna Marszal-Pomianowska; Rasmus Lund Jensen; Christos Kantas; Olena Kalyanova Larsen; Yue Hu; Kirstine Meyer Frandsen; Tine Steen Larsen; Kjeld Svidt; Kamilla Heimar Andersen; Daniel Leiria; Markus Schaffer; Martin Frandsen; Martin Veit; Lene Faber Ussing; Søren Munch Lindhard; Michal Zbigniew Pomianowski; Lasse Rohde; Anders Rhiger Hansen; Per Kvols Heiselberg

doi:10.1016/j.dib.2024.110326

Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.

Original language	English
Article number	110326
Journal	Data in Brief
Volume	54
Number of pages	33
ISSN	2352-3409
DOIs	https://doi.org/10.1016/j.dib.2024.110326
Publication status	Published - Jun 2024

Bibliographical note

Keywords

Building systems
Data
Denmark
HVAC
High-resolution data
Indoor climate
building operation
number of occupants
occupancy
office building

UN SDGs

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

Access to Document

10.1016/j.dib.2024.110326Licence: CC BY 4.0

Open Access ArticleFinal published version, 6.89 MBLicence: CC BY 4.0

AUB Link

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Cite this

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title = "Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution",

abstract = "The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.",

keywords = "Building systems, Data, Denmark, HVAC, High-resolution data, Indoor climate, building operation, number of occupants, occupancy, office building",

author = "Melgaard, {Simon Pommerencke} and Hicham Johra and Nyborg, {Victor {\O}rs{\o}e} and Anna Marszal-Pomianowska and Jensen, {Rasmus Lund} and Christos Kantas and Larsen, {Olena Kalyanova} and Yue Hu and Frandsen, {Kirstine Meyer} and Larsen, {Tine Steen} and Kjeld Svidt and Andersen, {Kamilla Heimar} and Daniel Leiria and Markus Schaffer and Martin Frandsen and Martin Veit and Ussing, {Lene Faber} and Lindhard, {S{\o}ren Munch} and Pomianowski, {Michal Zbigniew} and Lasse Rohde and Hansen, {Anders Rhiger} and Heiselberg, {Per Kvols}",

note = "{\textcopyright} 2024 The Author(s).",

year = "2024",

month = jun,

doi = "10.1016/j.dib.2024.110326",

language = "English",

volume = "54",

journal = "Data in Brief",

issn = "2352-3409",

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}

Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution. / Melgaard, Simon Pommerencke ; Johra, Hicham ; Nyborg, Victor Ørsøe et al.
In: Data in Brief, Vol. 54, 110326, 06.2024.

Research output: Contribution to journal › Journal article › Research › peer-review

TY - JOUR

T1 - Detailed operational building data for six office rooms in Denmark

T2 - Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution

AU - Melgaard, Simon Pommerencke

AU - Johra, Hicham

AU - Nyborg, Victor Ørsøe

AU - Marszal-Pomianowska, Anna

AU - Jensen, Rasmus Lund

AU - Kantas, Christos

AU - Larsen, Olena Kalyanova

AU - Hu, Yue

AU - Frandsen, Kirstine Meyer

AU - Larsen, Tine Steen

AU - Svidt, Kjeld

AU - Andersen, Kamilla Heimar

AU - Leiria, Daniel

AU - Schaffer, Markus

AU - Frandsen, Martin

AU - Veit, Martin

AU - Ussing, Lene Faber

AU - Lindhard, Søren Munch

AU - Pomianowski, Michal Zbigniew

AU - Rohde, Lasse

AU - Hansen, Anders Rhiger

AU - Heiselberg, Per Kvols

PY - 2024/6

Y1 - 2024/6

N2 - The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.

AB - The operational building data presented in this paper has been collected from six office rooms located in an office building (research and educational purposes) located on the main campus of Aalborg University in Denmark. The dataset consists of measurements of occupancy, indoor environmen- tal quality, room-level and system-level heating, ventilation and lighting operation at a 5 min resolution. The indoor environmental quality and building system data were col- lected from the building management system. The occupancy level in each monitored room is established from the com- puter vision-based analysis of wall-mounted camera footage of each office. The number of people present in the room is estimated using the YOLOv5s image recognition algorithm. The present dataset can be used for occupancy analysis, in- door environmental quality investigations, machine learning, and model predictive control.

KW - Building systems

KW - Data

KW - Denmark

KW - HVAC

KW - High-resolution data

KW - Indoor climate

KW - building operation

KW - number of occupants

KW - occupancy

KW - office building

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U2 - 10.1016/j.dib.2024.110326

DO - 10.1016/j.dib.2024.110326

M3 - Journal article

C2 - 38590615

SN - 2352-3409

VL - 54

JO - Data in Brief

JF - Data in Brief

M1 - 110326

ER -

Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

AUB Link

Other files and links

Fingerprint

Self Assessment Towards Optimization in Building Energy

COVOCHA: COVOCHA: COmputer Vision-based Occupancy CHAracterization

Data acquisition and analysis for COVOCHA project

A Danish high-resolution dataset for six office rooms with occupancy, indoor environment , heating, ventilation, lighting and room control monitoring

Cite this

Detailed operational building data for six office rooms in Denmark: Occupancy, indoor environment, heating, ventilation, lighting and room control monitoring with sub-hourly temporal resolution

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

Self Assessment Towards Optimization in Building Energy

COVOCHA: COVOCHA: COmputer Vision-based Occupancy CHAracterization

Activities

Data acquisition and analysis for COVOCHA project

Datasets

A Danish high-resolution dataset for six office rooms with occupancy, indoor environment , heating, ventilation, lighting and room control monitoring

Cite this