| DOI | Trouver le DOI : https://doi.org/10.1007/978-981-19-9822-5_201 |
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| Auteur | Rechercher : Hobson, Brodie W.1; Rechercher : Abuimara, Tareq; Rechercher : Ashouri, Araz1; Rechercher : Gunay, H. Burak |
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| Affiliation | - Conseil national de recherches Canada. Construction
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| Format | Texte, Article |
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| Conférence | 5th International Conference on Building Energy and Environment, July 25-29, 2022, Montreal, Canada |
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| Résumé | 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. |
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| Date de publication | 2023-09-05 |
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| Maison d’édition | Springer |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 1cdf0655-269a-4f1e-9b19-a93d6b503e22 |
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| Enregistrement créé | 2024-07-11 |
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| Enregistrement modifié | 2024-07-11 |
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