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Environmental life cycle cost assessment: Recycling of hard plastic waste collected at Danish recycling centres

机译:环境生活周期成本评估:在丹麦回收中心收集的硬塑料废物回收

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摘要

Recycling of plastic waste is promoted by the European Union as an important step toward a circular economy. Recovered plastic waste is a complex and heterogeneous material, and the impurities and/or untargeted polymers associated to plastic waste may affect the recycling process and potentially decrease the intended benefits. An environmental and financial assessment was conducted on one tonne of hard plastic waste collected at Danish recycling centres. Three management scenarios were considered: two mechanical recycling (a simpler and a more advanced configuration, namely sMR and aMR) and a feedstock recycling (FR) scenario based on conversion through pyrolysis. Scenario aMR provided the largest savings in the highest number of impact categories (including global warming potential) and total costs; scenarios sMR and FR provided smaller savings (or even burdens), depending on the environmental impact category considered. A scenario analysis evaluating the type of energy provision, location of recycling facilities and the application of the recycled material confirmed the ranking of results with respect to global warming potential and total costs. A global sensitivity assessment of model data inputs demonstrated that three to nine parameters were typically sufficient to achieve more than 90% of total variance of the results; critical parameters were mainly related to sorting efficiencies, technical yields and market substitution factors. The study demonstrates that if high quality of the recycled plastic is achieved, both environmental savings and financial revenues are possible.
机译:欧盟促进了塑料废物的回收作为朝向循环经济的重要一步。回收的塑料废物是复杂且异质的材料,与塑料废物相关的杂质和/或未确定的聚合物可能影响回收过程,并且可能降低预期的益处。在丹麦回收中心收集的一吨硬塑料废物上进行了环境和财务评估。考虑了三种管理情景:两个机械回收(简单和更先进的配置,即SMR和AMR)以及通过热解转换的原料回收(FR)场景。场景AMR提供最大的影响分类数量(包括全球变暖潜力)和总成本;方案SMR和FR提供较小的储蓄(甚至负担),具体取决于所考虑的环境影响类别。评估能量提供类型的情景分析,回收设施的位置和再生材料的应用证实了相对于全球变暖潜力和总成本的结果。模型数据输入的全局敏感性评估证明,三到九个参数通常足以实现结果总方差的90%;关键参数主要与分类效率,技术产量和市场替代因素有关。该研究表明,如果实现了高质量的回收塑料,则环境储蓄和财务收入都是可能的。

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