| DOI | Resolve DOI: https://doi.org/10.1007/978-981-19-9822-5_201 |
|---|
| Author | Search for: Hobson, Brodie W.1; Search for: Abuimara, Tareq; Search for: Ashouri, Araz1; Search for: Gunay, H. Burak |
|---|
| Affiliation | - National Research Council of Canada. Construction
|
|---|
| Format | Text, Article |
|---|
| Conference | 5th International Conference on Building Energy and Environment, July 25-29, 2022, Montreal, Canada |
|---|
| Abstract | This paper outlines a methodology for disaggregating building-level occupancy data into zone-level occupant counts using opportunistic data from Wi-Fi access points, motion detectors, and CO₂ sensors via sensor fusion for a floor of an academic office building. The efficacy of different combinations of data for this purpose is explored and the occupant-count estimates from these different combinations of data are compared to one another. The impacts of different sensors, sensor grid densities, and their data on the occupant-count estimates are discussed. Historical CO₂ data are analysed to determine if instances of under- or over-occupancy as estimated by this methodology are reflected in the measured CO₂ trends where available. The results indicate that additional sensor data improves the disaggregation model’s ability to estimate which rooms are over-occupied, with the granularity of the Wi-Fi access point grid and inclusion of CO₂ data causing the largest increase in purported accuracy. |
|---|
| Publication date | 2023-09-05 |
|---|
| Publisher | Springer |
|---|
| In | |
|---|
| Series | |
|---|
| Language | English |
|---|
| Peer reviewed | Yes |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | 1cdf0655-269a-4f1e-9b19-a93d6b503e22 |
|---|
| Record created | 2024-07-11 |
|---|
| Record modified | 2024-07-11 |
|---|
