RESUMEN
The probable emergence of a global aluminium scrap surplus in the coming decade is one of the main incentives for the aluminium recycling industry to invest in new methods and technologies to collect, sort and recycle aluminium scrap. However, due to the considerable uncertainty in the evolution of the global scrap surplus, it is difficult for policymakers and the recycling industry to accurately estimate the economic and environmental advantages of implementing enhanced sorting and recycling methods. The International Aluminium Institute (IAI) has developed a model to track and forecast the global flows of aluminium, but this model is not extensive enough to estimate the scrap surplus evolution. Therefore, this paper introduces an alloy series resolution to the supply and demand of aluminium in the IAI's global flow model and estimates the composition of the recovered scrap flows to improve the estimate of the technical potential of secondary alloy production. The estimated scrap surplus evolution is subjected to a sensitivity analysis, considering the most critical parameters, including the speed of electrification in the automotive sector, the recovered scrap's composition and the lifetime of aluminium products. In addition, the estimated composition of the recovered aluminium scrap in the model is compared to composition measurements of alumimium scrap collected at a Belgian recycling facility as a means of validation. This study allows to estimate that the global aluminium scrap surplus will emerge soon and reach a size of 5.4 million tonnes by 2030 and 8.7 million tonnes by 2040, if currently adopted aluminium sorting and recycling methods are not improved.
Asunto(s)
Aluminio , Reciclaje , AleacionesRESUMEN
The complex composition of waste electrical and electronic equipment (WEEE) plastics represents a challenge during post-consumption plastic recycling. A single WEEE category, e.g. large household appliances (LHA), can contain several different plastic types with overlapping material properties, making the sorting of individual plastics a challenge. Significant increases in plastic recovery rates can be expected by clustering product categories, as clustering can avoid mixing of non-compatible plastics with overlapping material properties. For this purpose, a life cycle assessment (LCA) is conducted to investigate the influence of different clustering strategies on the environmental performance of waste treatment and the production of recycled plastic from LHA waste stream. To assure comparability between waste treatment scenarios a system expansion approach is applied, and to allocate the burden of shared processes over the first and second use cycle of the material partitioning is applied. Results show that an increased separation of product clusters by plastic type can improve the plastic recovery rate from 5.8% to 47.1% and reduce the overall environmental impact, quantified with the ReCiPe (2016) method, by up to 23%. The environmental impacts of using recycled plastics from LHA waste can be reduced by 27 to 38% compared to single-use plastic. The holistic approach used in this study demonstrates (1) the potential benefits of implementing product clustering strategies for LHA plastic recycling, (2) the relevance of different allocation procedures when integrating recycling into an LCA, (3) the importance of using less virgin material and avoiding final waste treatment, and (4) the limitation of the recycling system to reduce the environmental burden associated with products.