N. Francart , S.R.B. Gummidi , E. Hoxha , H. Birgisdottir
{"title":"Building stock modelling for circularity: Insights from a Danish component-level model","authors":"N. Francart , S.R.B. Gummidi , E. Hoxha , H. Birgisdottir","doi":"10.1016/j.resconrec.2025.108397","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents the iBuildGreen building stock model, which estimates the material content of the Danish building stock based on macro-component archetypes (types of wall, roof, floor slab, etc). The model draws up a detailed material inventory and estimates the embodied carbon content for each building, based on publicly available Danish National Building Registry data. The high level of detail provides new insights for urban mining and life cycle assessment. The model is first tested for the municipality of Odense, and the results are then compared to the case of Copenhagen. The model is also compared with other archetype models, in terms of output and relevance as a decision-support tool.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"221 ","pages":"Article 108397"},"PeriodicalIF":11.2000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344925002757","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the iBuildGreen building stock model, which estimates the material content of the Danish building stock based on macro-component archetypes (types of wall, roof, floor slab, etc). The model draws up a detailed material inventory and estimates the embodied carbon content for each building, based on publicly available Danish National Building Registry data. The high level of detail provides new insights for urban mining and life cycle assessment. The model is first tested for the municipality of Odense, and the results are then compared to the case of Copenhagen. The model is also compared with other archetype models, in terms of output and relevance as a decision-support tool.
期刊介绍:
The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns.
Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.