A net-positive energy building assessment: commissioning and COVID-19 insights
Notice bibliographique
Résumé
The built sector is responsible for 30% of global greenhouse gas emissions, which inspired solutions including net-zero energy buildings to reduce environmental impacts. Several factors impact energy consumption including finetuning activities that take place after construction and how occupants interact with different building components. Many building energy studies take a simulation approach to estimate energy performance. There are limited studies looking at empirical office operations, especially in Northern climates. This study investigated a case study building in Waterloo, Ontario, using quantitative energy data from three and a half years of building operation and qualitative data from key informant interviews to gain a holistic understanding of building operations. The investigation was divided in two main parts, answering questions related to the performance gap, building commissioning and COVID-19. Firstly, the difference between predictions of energy consumption from the design phase and measured energy consumption was investigated. Actions taken by the building operator to close the difference between measured and predicted heating, ventilating and air conditioning energy consumption and work towards meeting the design intent were analyzed. In the second portion of the study, the focus shifted towards more occupant impacted loads such as lighting and plug loads (e.g., computers, fridges, personal space heaters). Energy consumption from 2019 was considered as the baseline and it was compared to minimal occupancy in 2021 and medium occupancy due to increased remote working during 2022. Statistical analysis was completed to test the significance of the differences in the energy consumption levels between the three modes of occupancy. Lastly, hourly profiles were analyzed to estimate occupant presence and schedules during typical work and nonwork days. Highlights of the results show that building commissioning reduced total energy consumption by 15%, while reduced occupancy led to a 10% decrease. Low sensitivity to outdoor conditions (e.g., irradiance and outdoor temperature) on energy consumption was also observed. Future research can consider investigating commissioning projects’ energy savings from other Canadian offices with similar design goals (e.g., net-zero energy) and uncovering a relationship between occupancy (i.e., uncovered through occupant sensor data) and energy consumption.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».