A review on the impact of building design and operation on buildings cooling loads
Notice bibliographique
Résumé
Energy consumption in buildings is considerably high in areas of hot and humid climates due to its association with high cooling loads. Electricity grids are highly affected by the consumption of cooling systems like air-conditioning and large refrigeration facilities, which significantly impact the economic and environmental sectors. As building design and operating parameters influence the cooling demand in the building, it is believed the root cause of the problem may be detected at an early building design stage. Thus, this review identifies the building design parameters that impact the cooling loads in buildings that are geographically restricted to countries with hot and humid climates. The building's design characteristics are classified into four main categories: glass characteristics, wall characteristics, building orientation and dimensions (BO & D), and building cooling system. The review was conducted over high-rise and low-rise buildings. Annual energy requirements (in some cases overlapping with electricity consumption), annual cooling loads, and peak cooling loads are the three forms in which energy demand reductions in buildings are represented. It is found that maximum annual cooling load savings are obtained through cooling systems, followed by wall characteristics, then glass characteristics, with the least for BO & D, with maximum reductions of up to 61%, 59%, 55%, and 21%, respectively. As for the peak cooling load reductions, wall characteristics, cooling systems, and glass characteristics had almost the same average values of 18.7%, 15.2%, and 17.2%, respectively, while BO & D are not reported due to the incomparable number of case studies. The parameters that have the most influence on reductions in peak cooling loads are wall and glass characteristics. In general, savings that are associated with wall characteristics are more significant for low-rise buildings than for high-rise buildings, while the latter is more influenced by glass characteristics. This is a reasonable conclusion since high-rise buildings, in general, acquire higher window-to-wall ratios than the former. In general, most studies considered glass characteristics, while fewer studies considered BO & D. This review has shown various aspects that are vital in studying building cooling load demand and its related energy performance.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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 ».