An evaluation of architects' readiness for conducting energy modelling using BIM tools to achieve high energy performance buildings in the UK and Canada
Notice bibliographique
Résumé
Buildings, consume more than 30% of the world's energy and is the world's largest energy consuming sector, contributing nearly a quarter of the total global greenhouse gas emissions. Global warming is the result of emission of greenhouse gases, and this represents a significant existential crisis. The effective design of buildings is one way to mitigate this issue and this starts with the design of the building. One of the architect's main responsibilities is the building’s geometric design, which has a considerable impact on energy consumption. Building Performance Analysis (BPA) is generally conducted during the later design stages often in support of the mechanical and electrical design, such as heating and cooling systems. To achieve a High Energy Performance Building (HEPB), this research considers the potential impact and implementation of a process which might bring the geometric design stage and energy analysis stages closer to each other. While architects usually deal with geometrical design, much of energy performance analysis work is carried out by consultant energy specialists. However, new BIM tools have the potential to make this stage of analysis more accessible to architects, who may not have specific building physics knowledge. The purpose of this study is to assess the acceptability of BIM based energy analysis tools to architects and assess their potential use in early stage energy analysis undertaken by nonspecialist architects. The aim of this research is to evaluate the conditions of the design process for HEPB in the UK and Canada and develop a series of recommendations to better enable architects to address energy efficiency in the early stages of the design process by using BIM tools. An abductive research approach is used to test existing theories regarding the ability of BIM to design and analyse green buildings. The survey of UK and Canadian architects identifies issues such as; standards, underlying knowledge, client demand and the use of BIM tools to identify applicability of the approach. The results from the study are used to understand the processes of HEPBs architectural design, including the sources and tools which are used. The respondents’ familiarity with BIM, its tools and ability for doing tasks in the design and construction industry, specifically regarding HEPBs design and the potential barriers for employing BIM are also considered. The recognised gap in the knowledge is to develop a better understanding of the issues of the detachment of architects as first designers of buildings involved in geometrical design from the later stages (Building Performance Analysis) and the possible solutions that might be provided by BIM tools. The contribution to knowledge of the research focuses around a better understanding of the specific barriers for the implementation and use of BIM energy analysis tools by architectural practices which will be achieved through finding weaknesses in the current process of design process and discovering potential solutions.
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 | 0,022 | 0,049 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,005 | 0,003 |
| Communication savante | 0,006 | 0,001 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».