4.7 Article

In-depth analysis of aluminum flows in Austria as a basis to increase resource efficiency

Journal

RESOURCES CONSERVATION AND RECYCLING
Volume 93, Issue -, Pages 112-123

Publisher

ELSEVIER
DOI: 10.1016/j.resconrec.2014.09.016

Keywords

MFA; Resource management; Aluminum; Austria; Recycling; Scrap

Funding

  1. Federal Ministry of Science, Research and Economy
  2. National Foundation for Research, Technology and Development
  3. Altstoff Recycling Austria AG (ARA)
  4. Borealis group
  5. voestalpine AG
  6. Wien Energie GmbH
  7. Wiener Kommunal-Umweltschutzprojektgesellschaft GmbH
  8. Wiener Linien GmbH Co KG

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Based on the method of material flow analysis (MFA), a static model of Austrian aluminum (Al) flows in 2010 was developed. Extensive data research on Al production, consumption, trade and waste management was conducted and resulted in a detailed model of national Al resources. Data uncertainty was considered in the model based on the application of a rigorous concept for data quality assessment. The model results indicated that the growth of the Austrian in-use Al stock amounts to 11 +/- 3.1 kg yr(-1) cap(-1). The total in-use Al stock was determined using a bottom-up approach, which produced an estimate of 260 kg Al cap(-1). Approximately 7 +/- 1 kg of Al yr(-1) cap(-1) of old scrap was generated in 2010, of which 20% was not recovered because of losses in waste management processes. Quantitatively, approximately 40% of the total scrap input to secondary Al production originated from net imports, highlighting the import dependency of Austrian Al refiners and remelters. Uncertainties in the calculation of recycling indicators for the Austrian Al system with high shares of foreign scrap trade were exemplarily illustrated for the old scrap ratio (OSR) in secondary Al production, resulting in a possible range of OSRs between 0 and 66%. Overall, the detailed MFA in this study provides a basis to identify resource potentials as well as resource losses in the national Al system, and it will serve as a starting point for a dynamic Al model to be developed in the future. (C) 2014 Elsevier B.V. All rights reserved.

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