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报废汽车铁基材料回收过程中的质量和稀释损失:在明确考虑废料质量的情况下的投入产出分析。

Quality- and dilution losses in the recycling of ferrous materials from end-of-life passenger cars: input-output analysis under explicit consideration of scrap quality.

机构信息

Graduate School of Economics, Waseda University, Tokyo, Japan.

出版信息

Environ Sci Technol. 2012 Sep 4;46(17):9266-73. doi: 10.1021/es3013529. Epub 2012 Aug 22.

Abstract

Metals can in theory be infinitely recycled in a closed-loop without any degradation in quality. In reality, however, open-loop recycling is more typical for metal scrap recovered from end-of-life (EoL) products because mixing of different metal species results in scrap quality that no longer matches the originals. Further losses occur when meeting the quality requirement of the target product requires dilution of the secondary material by adding high purity materials. Standard LCA usually does not address these losses. This paper presents a novel approach to quantifying quality- and dilution losses, by means of hybrid input-output analysis. We focus on the losses associated with the recycling of ferrous materials from end-of-life vehicle (ELV) due to the mixing of copper, a typical contaminant in steel recycling. Given the quality of scrap in terms of copper density, the model determines the ratio by which scrap needs to be diluted in an electric arc furnace (EAF), and the amount of demand for EAF steel including those quantities needed for dilution. Application to a high-resolution Japanese IO table supplemented with data on ferrous materials including different grades of scrap indicates that a nationwide avoidance of these losses could result in a significant reduction of CO(2) emissions.

摘要

金属理论上可以在没有任何质量下降的闭环中无限循环利用。然而,在现实中,从报废产品(EoL)中回收的金属废料更典型地采用开环回收方式,因为不同金属种类的混合导致废料质量不再与原始材料匹配。当满足目标产品的质量要求需要通过添加高纯度材料来稀释二次材料时,会进一步产生损失。标准的生命周期评估通常不考虑这些损失。本文通过混合投入产出分析提出了一种量化质量和稀释损失的新方法。我们专注于与报废车辆(ELV)中的黑色金属回收相关的损失,这是由于钢铁回收中典型的污染物铜的混合。根据废钢中铜密度的质量,该模型确定了在电弧炉(EAF)中需要稀释废钢的比例,以及 EAF 钢的需求量,包括稀释所需的数量。应用于补充了包括不同等级废料在内的黑色金属数据的高分辨率日本投入产出表表明,全国范围内避免这些损失可能导致 CO(2)排放量的显著减少。

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