Component-Based Model for Building Material Stock and Waste-Flow Characterization: A Case in the Île-de-France Region
Rafaela Tirado,
Adélaïde Aublet,
Sylvain Laurenceau,
Mathieu Thorel,
Mathilde Louërat and
Guillaume Habert
Additional contact information
Rafaela Tirado: Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
Adélaïde Aublet: Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
Sylvain Laurenceau: Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
Mathieu Thorel: Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
Mathilde Louërat: Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
Guillaume Habert: Sustainable Construction Department, IBI, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland
Sustainability, 2021, vol. 13, issue 23, 1-34
Abstract:
Building demolition is one of the main sources of waste generation in urban areas and is a growing problem for cities due to the generated environmental impacts. To promote high levels of circular economy, it is necessary to better understand the waste-flow composition; nevertheless, material flow studies typically focus on low levels of detail. This article presents a model based on a bottom-up macro-component approach, which allows the multiscale characterization of construction materials and the estimation of demolition waste flows, a model that we call the BTP-flux model. Data mining, analytical techniques, and geographic information system (GIS) tools were used to assess different datasets available at the national level and develop a common database for French buildings: BDNB. Generic information for buildings in the BDNB is then enriched by coupling every building with a catalog of macro-components (TyPy), thus allowing the building’s physical description. Subsequently, stock and demolition flows are calculated by aggregation and classified into 32 waste categories. The BTP-flux model was applied in Île-de-France in a sample of 101,320 buildings for residential and non-residential uses, representative of the assessed population (1,968,242 buildings). In the case of Île-de-France, the building stock and the total demolition flows were estimated at 1382 Mt and 4065 kt, respectively. For its inter-regional areas—departments—, stock and demolition waste can vary between 85 and 138 tons/cap and 0.263 and 0.486 tons/cap/year, respectively. The mean of the total demolition wastes was estimated at 0.33 tons/cap/year for the region. Results could encourage scientists, planners, and stakeholders to develop pathways towards a circular economy in the construction sector by implementing strategies for better management of waste recovery and reintegrating in economic circuits, while preserving a maximum of their added value.
Keywords: building-stock modeling; material-flow analysis (MFA); bottom-up; component-based; circular economy; urban metabolism (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/13/23/13159/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/23/13159/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:23:p:13159-:d:689545
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().