Téléchargement | - Voir le manuscrit accepté : Energy performance of commercial buildings in partial-to-no- occupancy: lessons learned from the COVID-19 pandemic lockdown in Canadian government buildings (PDF, 779 Kio)
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Auteur | Rechercher : Awad, Hadia1; Rechercher : Rizvi, Farzeen1; Rechercher : Shillinglaw, Scott1 |
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Affiliation du nom | - Conseil national de recherches du Canada. Construction
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Format | Texte, Article |
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Conférence | 18th IBPSA International Conference and Exhibition Building Simulation 2023, BS 2023, September 4-6, 2023, Shanghai, China |
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Résumé | Following the global lockown as a measure to contain the spread of the COVID-19 pandemic, the world has witnessed a temporary decline in energy usage, especially in the commercial building sector. However, the magnitude of decline in that sector was not as large as the expected decline for unoccupied spaces. Energy performance of low-/unoccupied commercial buildings coupled with the new minimum requirement for outdoor air intake is an intriguing research question. However, occupancy data is expensive to obtain and is challenging from a privacy standpoint. Instead, by comparing the business-as-usual electricity usage with that of the known unoccupied period during the early stage of the lockdown, a wide spectrum of hybrid work electricity usage can be estimated. In this study, two years of hourly energy (thermal load-free electricity) use data for 49 commercial buildings equipped with smart energy management systems are analyzed to quantify those changes. A linear regression predictive model to estimate low-occupancy electricity loads is conducted. Results indicate that the proposed model is promising and can be further improved for better repeatabilitiy. |
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Date de publication | 2023-09-04 |
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Maison d’édition | International Building Performance Simulation Association |
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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 | c08a79d8-b980-4036-8417-ebb89bd9147d |
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Enregistrement créé | 2023-09-10 |
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Enregistrement modifié | 2023-09-12 |
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