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
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View abstract on PubMed
Summary
This summary is machine-generated.This study presents a dataset from office rooms, detailing occupancy and environmental data. This information is valuable for optimizing building operations and energy efficiency.
Area Of Science
- Building Science
- Energy Efficiency
- Computer Vision
Background
- Operational building data is crucial for understanding and optimizing building performance.
- Existing datasets often lack granular, real-time information on occupancy and indoor environmental quality (IEQ).
- Accurate occupancy detection is key for effective building management and energy savings.
Purpose Of The Study
- To present a novel dataset of operational building data from office rooms.
- To provide high-resolution measurements of occupancy, IEQ, and building system operations.
- To facilitate research in areas such as occupancy analysis, IEQ investigations, machine learning, and model predictive control.
Main Methods
- Data collected from six office rooms in a university building in Denmark.
- Measurements include occupancy, IEQ, heating, ventilation, and lighting at a 5-minute resolution.
- Occupancy determined using computer vision and the YOLOv5s image recognition algorithm.
Main Results
- A comprehensive dataset capturing dynamic building operational parameters was successfully compiled.
- The dataset integrates building management system data with computer vision-based occupancy detection.
- High-resolution data enables detailed analysis of the interplay between occupancy and building systems.
Conclusions
- The presented dataset offers a valuable resource for researchers and practitioners in building science.
- It supports advancements in data-driven building performance analysis and control strategies.
- The dataset can significantly contribute to developing more energy-efficient and comfortable indoor environments.
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