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Brown, N, Malmqvist, T and Wintzell, H (2016) Owner organizations' value-creation strategies through environmental certification of buildings. Building Research & Information, 44(08), 863-74.
Chand, A M and Loosemore, M (2016) Hospital learning from extreme weather events: Using causal loop diagrams. Building Research & Information, 44(08), 875-88.
Fennell, P, Ruyssevelt, P and Smith, A Z P (2016) Financial viability of school retrofit projects for clients and ESCOs. Building Research & Information, 44(08), 889-11.
Garretón, J Y, Rodriguez, R and Pattini, A (2016) Effects of perceived indoor temperature on daylight glare perception. Building Research & Information, 44(08), 907-19.
Huuhka, S (2016) Vacant residential buildings as potential reserves: A geographical and statistical study. Building Research & Information, 44(08), 816-39.
Kuusk, K and Kalamees, T (2016) Retrofit cost-effectiveness: Estonian apartment buildings. Building Research & Information, 44(08), 920-34.
Ortlepp, R, Gruhler, K and Schiller, G (2016) Material stocks in Germany's non-domestic buildings: A new quantification method. Building Research & Information, 44(08), 840-62.
- Type: Journal Article
- Keywords: fixed assets; resource efficiency; material composition indicators; material flow; building stock; non-domestic buildings; urban mining; buildings; energy efficiency
- ISBN/ISSN: 0961-3218
- URL: https://doi.org/10.1080/09613218.2016.1112096
- Abstract:
The building sector consumes large quantities of resources and generates high levels of construction and demolition (C&D) waste. From an 'urban mining' perspective, the building stock can be seen as a repository of natural resources. In order to manage this repository, evidence is needed on its quantity and dynamics. Although data exist for domestic buildings, little evidence exists for non-domestic buildings. A new method is presented to quantify the material stock of non-domestic buildings - based on the German building stock. The quantification process involves three steps: (1) material composition indicators (MCIs) are calculated with respect to various building types; (2) the country's total floor space is estimated and disaggregated; and (3) the total material stock is calculated. The main results are MCIs and the floor space for both domestic and non-domestic stocks, as well as the material mass in total. In Germany the total material mass of non-domestic buildings is approximately 6.8 billion tonnes, accounting for 44% of the entire building stock. The method can be adapted and validated for use in other countries. These results will assist both policy-makers and the construction industry to understand the potential for moving toward a more circular economy.;The building sector consumes large quantities of resources and generates high levels of construction and demolition (C&D) waste. From an 'urban mining' perspective, the building stock can be seen as a repository of natural resources. In order to manage this repository, evidence is needed on its quantity and dynamics. Although data exist for domestic buildings, little evidence exists for non-domestic buildings. A new method is presented to quantify the material stock of non-domestic buildings - based on the German building stock. The quantification process involves three steps: (1) material composition indicators (MCIs) are calculated with respect to various building types; (2) the country's total floor space is estimated and disaggregated; and (3) the total material stock is calculated. The main results are MCIs and the floor space for both domestic and non-domestic stocks, as well as the material mass in total. In Germany the total material mass of non-domestic buildings is approximately 6.8 billion tonnes, accounting for 44% of the entire building stock. The method can be adapted and validated for use in other countries. These results will assist both policy-makers and the construction industry to understand the potential for moving toward a more circular economy.;