Decarbonization of the construction sector in Sweden : exploring barriers to and drivers for increased use of wood-based materials in the construction industry
Notice bibliographique
Résumé
The European Union intends to reach climate neutrality by 2050, which will require substantial reductions in greenhouse gas emissions. Construction is an energy and carbon-intensive sector, which needs further decarbonization. The use of wood in buildings can be effective measures for decarbonization in the sector compared to conventional building materials, such as concrete and steel. Despite Sweden's long history of building with wood-based products and extensive forest cover, the share of multi-storey buildings manufactured with wood frames are low. Wood-based building materials offer a potential for decreasing carbon emissions, storing carbon in buildings for a long-time span and offering high cascading potential. As wood resources are limited, it is important to examine the possibilities of utilizing wood in long-lasting products and plan the use of them to contribute to decarbonization. Therefore, it is important to map and analyse the wood flow from forests to various wood industries and to the building sector. In this study, the wood material flow is mapped based on the mass conservation principle and the availability of wood resources for wood-based building material is investigated. The results show that gross and net felling is predicted to be relatively constant in the coming years, but that the view is that the market for high value wood products, such as wood-frames, textiles etc, will increase and thereby increase competition for the raw material. A significant role in achieving the decarbonization goals can be played by stakeholders in the building industry by choosing low-carbon technologies, including wood-based building materials. It is important to review the perspective of experts with experience of working with wood-based buildings or material from different disciplines within the construction process such as building material companies, architects, designers, and construction companies to identify barriers and drivers associated with the selection of wood as building material. Therefore, in addition to a wood-flow study semi-structured interviews were conducted with a group of these experts in the field to investigate their perspectives of using an increased amount of wood products in buildings and the potential for decarbonization. The main conclusion from these interviews is that the experts see an increase in semi-high-rise wood-framed buildings, and that local initiatives and clear sustainability goals are important drivers. The respondents also emphasize the learning process as well as a continuous need for good examples of successful projects.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».