characterization of urban mines - tu wien · characterization of urban mines 2/21. background...
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Characterization of urban mines
Helmut Rechberger, Hanno Buchner, Fritz KleemannResearch Center of Waste and Resource ManagementCD Laboratory for Anthropogenic ResourcesTechnische Universität Wien
1st European Mining & Exploration ForumMasterminding a mining revival in Europe
17-18 November – Vienna, Austria
Characterization of urban mines 2/21
Background
Buildings greatly contribute to the turnover and accumulation of materials within urban systems
About 20-30% of total waste flows are related to construction and demolition activities (excavation material excluded)
High potential to save landfill space and primary resources through recycling
Knowledge about material flows and stocks in urban systems is limited
Characterization of urban mines 3/21
Aluminium balance, Austria 2010
Lagerzuwachs: 11 kg/Pers Altschrottanfall: 7 kg/Pers
Source: Buchner et al., 2014
Characterization of urban mines 4/21
Selected results from dynamic model
In-use stock Al-scrap + EOL vehicle exported
360 kg/cap 14 kg/cap.yr
Source: Buchner et al., 2015a
Characterization of urban mines 5/21
Future old scrap generation
0
50.000
100.000
150.000
200.000
250.000
300.000
1964 1970 1976 1982 1988 1994 2000 2006 2012 2018 2024 2030 2036 2042 2048
[t/yr
.] Buildings and infrastructureTransport
Mechanical Eng.Electrical Eng.
ConsumerPackaging
Total old scrap
Characterization of urban mines 6/21
Objective
Analyze the building stock in Vienna and its potential for urban mining
Generate specific material values for different building categories
Analyze the building structure
Estimate the material output from demolition activities
Characterization of urban mines 7/21
Material composition of buildings1
Investigation of the material composition of buildings prior demolition
Generation specific material values for different building categories
Comparison with official reports on waste disposed
Characterization of urban mines 8/21
Material composition of buildings2
Files of demolished buildings Collection from municipal building authorities
Analysis of material composition
Main materials (walls, ceilings, roofs, …)
Data for new buildings Available LCA Data for new buildings in Vienna
Data from developers (tender documents, final bills)
Literature
Characterization of urban mines 9/21
Result for a single building
Flooring54%
Cables42%
Tubing4%
Source: Kleemann et al. 2014
Characterization of urban mines 10/21
Material composition [kg/m³ gross vol.]
Source: Kleemann et al. 2014
Material CS1 CS2.1 CS2.2 CS2.3 CS3 CS4 CS5 CS6 CS7
Mineral 430 420 410 320 260 450 400 300 390
Asbestos 1,5 0,04 - - 0,14 - 0,12 0,092 0,006
Steel 7,6 5,1 4,6 8,6 5,8 0,97 3,3 7,6 9,4
Aluminium 0,22 0,049 0,057 0,55 0,03 0,16 0,15 0,32 0,54
Copper 0,11 0,15 0,16 0,24 0,0019 0,062 0,034 0,099 0,15
Wood 2,3 4,3 2,2 0,62 3,6 20 4,200 0,69 1,2
PVC 0,52 0,19 0,21 0,18 0,0093 0,20 0,093 0,33 0,10
Other plastics 1,3 0,16 0,35 4,9 0,14 0,46 0,35 0,23 0,11
others 1,1 0,54 1,2 0,69 0,43 0,13 0,26 2,7 0,63
Total 440 430 420 340 270 470 400 310 410
Characterization of urban mines 11/21
Buildings differentiated by Construction period
Utilization
GIS data Different source within the municipality
Spatial joining to get the relevant information on a building level
Building structure
Characterization of urban mines 12/21
Combination of data
Area & height of buildings
Utilization & construction period of buildings
Case studies - analysis of documents- on-site investigation
Demolished buildings- analysis ofconstruction plans
Literature
New buildings- final bills- LCA Data- construction plans
Information about the building structure(GIS - geographical information system)
Information about the material composition of different building categories
Period of construction
Utilization Mineral materials
Organic materials
Metals Total
-1918 residential 380 17 3 400
commercial 360 3 3 366 industrial 270 5 7 282
1919-1945 residential 450 11 6 467
commercial 270 7 6 283 industrial 320 30 3 353
1946-1976 residential 420 5 10 435
commercial 350 6 6 362 industrial 340 - 13 353
1977-1996 residential 430 7 12 449
commercial 380 1 13 394 industrial 170 - 15 185
1997- residential 450 5 13 468
commercial 320 6 10 336 industrial - - - -
Characterization of urban mines 13/21
Material stock
385.000.000 [t]210 [t] pp
Characterization of urban mines 14/21
Material stock per person [t/cap]
Source: Kleemann et al. 2015 (submitted)
Mineral 200 Organic 5,5 Metal 3,4
Concrete 83 Wood 4,1 Iron/Steel 3,2
Bricks 70 Various plastics 0,37 Lead 0,09
Mortar/plaster 30 Carpet 0,22 Aluminium 0,044
Mineral fill 7,7 Heraklit 0,18 Copper 0,031
Slag fill 3,5 Bitumen 0,14 Zinc 0,022
Gravel/sand 2,9 Asphalt 0,13 Brass 0,0012
Foamed clay bricks 0,76 PVC 0,11
Natural stone 0,7 Polystyrene 0,077
Plaster boards/gypsum 0,59 Paper/Cardboard 0,065
Ceramics 0,44 Laminate 0,039
(Cement) asbestos 0,37 Linoleum 0,013
Glass 0,22
Mineral wool 0,21
Mineral wool boards 0,012 Total 210
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Resource cadastre
- Resource cadastre- Gives information about the total material stock in buildings
- Combined with data about the demolition activity, current and future waste streams can be estimated
Characterization of urban mines 16/21
Demolition activity1
Data from the building authority Address of building
notification present
Own observations to cross check if all buildings are notified
Data from surveying Wrecking companies (data quality?)
Recyclers
Landfill operators
Data from remote sensing Image matching
Compare height models of building stock based on yearly orthophotos
Characterization of urban mines 17/21
Demolition activity2
Characterization of urban mines 18/21
Demolition activity3
Characterization of urban mines 19/21
Demolition activity4
Characterization of urban mines 20/21
Conclusion & Outlook
Material composition of different building categories
Quantity of materials
Spatial distribution of materials
Possibility to generate reference values for single buildings being demolished
Information about future appearing waste flows on a municipal level (Vienna)
Characterization of urban mines 21/21
References
Buchner, H.; Laner, D.; Rechberger, H.; Fellner, J. Future Raw Material Supply: Opportunities and Limits of Aluminium Recycling in Austria, Journal of Sustainable Metallurgy, 1, 2015b, 1-10.
Buchner, H.; Laner, D.; Rechberger, H.; Fellner, J Dynamic Material Flow Modeling: An Effort to Calibrate and Validate Aluminum Stocks and Flows in Austria. Environmental Science and Technology, 49, 2015a, 5546-5554.
Kleemann, F.; Lederer, J.; Aschenbrenner, P.; Rechberger, H.; Fellner, J. A method for determining buildings’ material composition prior to demolition, Building Research & Information, 43, 2015, 1-12
Kleemann, F.; Lederer, J.; Rechberger, H.; Fellner, J. GIS-based analysis of Vienna’s material stock in buildings, Industrial Ecology, 2015, submitted
Buchner, H.; Laner, D.; Rechberger, H.; Fellner, J. “In-depth analysis of aluminum flows in Austria as a basis to increase resource efficiency, Resources, Conservation and Recycling, 93, 2014, 112– 123.