A Study of Mechanical Systems in Canadian High-rise Multi-unit Residential Buildings
Notice bibliographique
Résumé
Mechanical systems providing indoor environmental control and domestic hot water functions generally represent the largest consumer of energy in Canadian high-rise multi-unit residential buildings. Many different systems exist, but limited literature is available to guide the selection process. This thesis seeks to identify current available technologies, define the driving factors behind system selection, and to determine if there are specific systems or technologies which are advantageous with respect to economic, environmental, and practical characteristics. \nResearch was divided into four categories. A literature review was conducted to identify both similar high level research projects as well as specific details associated with the design and operation of mechanical systems. A model of an existing high-rise MURB was built and calibrated from extensive real world data. This model was used to construct six reference buildings – 3 code-based, and 3 low-energy – located in Vancouver, Toronto, and Edmonton. Using these reference models, a series of simulations were conducted to evaluate the relative performance of a wide variety of mechanical systems and equipment. \nAnalysis and discussion of system characteristics revealed no mechanical systems which were advantageous in all scenarios, though there are systems which are clearly advantageous to specific stakeholder groups. Location and climate were found to influence ventilation loads more than any other building load. The carbon intensity of the electric grid was found to be the determining factor of greenhouse gas emissions for systems using electricity as their primary fuel source. Heat pump technology was identified as providing the lowest site energy consumption. Air-to-air heat recovery was found to be the most effective in reducing ventilation energy consumption and emissions. \nRecommendations for future work include expansion of scope to low- and mid-rise buildings with different form factors. Targeted studies could also be performed to evaluate the impact of internal distribution losses as well as to help refine the cost-to-performance relationship of heat pump technology in order to identify cost competitive applications.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».