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Component-Based Model for Building Material Stock and Waste-Flow Characterization: A Case in the Île-de-France Region

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  • Rafaela Tirado

    (Scientific and Technical Centre for Buildings (CSTB), University Paris-Est, 24 Rue Joseph Fourier, 38400 Saint-Martin-d’Hères, France
    Sustainable Construction Department, IBI, ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zürich, Switzerland)

  • 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)

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.

Suggested Citation

  • Rafaela Tirado & Adélaïde Aublet & Sylvain Laurenceau & Mathieu Thorel & Mathilde Louërat & Guillaume Habert, 2021. "Component-Based Model for Building Material Stock and Waste-Flow Characterization: A Case in the Île-de-France Region," Sustainability, MDPI, vol. 13(23), pages 1-34, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13159-:d:689545
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    References listed on IDEAS

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    1. Vincent Augiseau & Eunhye Kim, 2021. "Inflows and Outflows from Material Stocks of Buildings and Networks and their Space-Differentiated Drivers: The Case Study of the Paris Region," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    2. Mingming Hu & Ester Van Der Voet & Gjalt Huppes, 2010. "Dynamic Material Flow Analysis for Strategic Construction and Demolition Waste Management in Beijing," Journal of Industrial Ecology, Yale University, vol. 14(3), pages 440-456, June.
    3. Georg Schiller & Alessio Miatto & Karin Gruhler & Regine Ortlepp & Clemens Deilmann & Hiroki Tanikawa, 2019. "Transferability of Material Composition Indicators for Residential Buildings: A Conceptual Approach Based on a German‐Japanese Comparison," Journal of Industrial Ecology, Yale University, vol. 23(4), pages 796-807, August.
    4. Zhi Cao & Lei Shen & Shuai Zhong & Litao Liu & Hanxiao Kong & Yanzhi Sun, 2018. "A Probabilistic Dynamic Material Flow Analysis Model for Chinese Urban Housing Stock," Journal of Industrial Ecology, Yale University, vol. 22(2), pages 377-391, April.
    5. Mastrucci, Alessio & Marvuglia, Antonino & Leopold, Ulrich & Benetto, Enrico, 2017. "Life Cycle Assessment of building stocks from urban to transnational scales: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 316-332.
    6. Schiller, Georg & Müller, Felix & Ortlepp, Regine, 2017. "Mapping the anthropogenic stock in Germany: Metabolic evidence for a circular economy," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 93-107.
    7. Augiseau, Vincent & Barles, Sabine, 2017. "Studying construction materials flows and stock: A review," Resources, Conservation & Recycling, Elsevier, vol. 123(C), pages 153-164.
    8. Georg Schiller & Karin Gruhler & Regine Ortlepp, 2017. "Continuous Material Flow Analysis Approach for Bulk Nonmetallic Mineral Building Materials Applied to the German Building Sector," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 673-688, June.
    9. Hiroki Tanikawa & Tomer Fishman & Keijiro Okuoka & Kenji Sugimoto, 2015. "The Weight of Society Over Time and Space: A Comprehensive Account of the Construction Material Stock of Japan, 1945–2010," Journal of Industrial Ecology, Yale University, vol. 19(5), pages 778-791, October.
    10. van der Voet, Ester & Kleijn, Rene & Huele, Ruben & Ishikawa, Masanobu & Verkuijlen, Evert, 2002. "Predicting future emissions based on characteristics of stocks," Ecological Economics, Elsevier, vol. 41(2), pages 223-234, May.
    11. Georg Schiller & Tamara Bimesmeier & Anh T.V. Pham, 2020. "Method for Quantifying Supply and Demand of Construction Minerals in Urban Regions—A Case Study of Hanoi and Its Hinterland," Sustainability, MDPI, vol. 12(11), pages 1-23, May.
    12. Sabine Barles, 2009. "Urban Metabolism of Paris and Its Region," Journal of Industrial Ecology, Yale University, vol. 13(6), pages 898-913, December.
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