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Quantifying the Separation Complexity of Mixed Plastic Waste Streams with Statistical Entropy: A Plastic Packaging Waste Case Study in Belgium
ACS Sustainable Chemistry & Engineering ( IF 7.1 ) Pub Date : 2021-07-15 , DOI: 10.1021/acssuschemeng.1c02404 Philippe Nimmegeers 1, 2 , Pieter Billen 1
ACS Sustainable Chemistry & Engineering ( IF 7.1 ) Pub Date : 2021-07-15 , DOI: 10.1021/acssuschemeng.1c02404 Philippe Nimmegeers 1, 2 , Pieter Billen 1
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Mixed plastic waste streams are to date present in nearly all societies. Depending on the source of the plastic waste stream, the complexity and difficulty to separate and recycle the waste stream differs. In this paper, the concept of statistical entropy is used to quantify the separation complexity of mixed plastic waste streams. To this end, the recently proposed multilevel statistical entropy analysis method is extended by adding a multiproduct system level. Furthermore, an overview is presented of the research questions that can be addressed by different statistical entropy definitions. The proposed extended method is applied to a plastic packaging waste case study in Belgium for which the data are available in the literature. The results indicate that the method based on statistical entropy allows analyzing the separation complexity of real-life mixed plastic waste streams. More specifically, the multilayer films contribute the most to the separation complexity of the studied plastic packaging waste stream. In addition, it is illustrated how the method can be used to identify key contributors to the separation complexity of mixed plastic waste streams and to evaluate measures to reduce the separation complexity of mixed plastic waste streams.
中文翻译：
用统计熵量化混合塑料废物流的分离复杂性：比利时塑料包装废物案例研究
迄今为止，几乎所有社会都存在混合塑料废物流。根据塑料废物流的来源，分离和回收废物流的复杂性和难度各不相同。在本文中，统计熵的概念用于量化混合塑料废物流的分离复杂性。为此，通过添加多产品系统级别来扩展最近提出的多级统计熵分析方法。此外，还概述了可以通过不同统计熵定义解决的研究问题。建议的扩展方法应用于比利时的塑料包装废物案例研究，其数据可在文献中获得。结果表明，基于统计熵的方法可以分析现实生活中混合塑料废物流的分离复杂性。更具体地说，多层薄膜对所研究的塑料包装废物流的分离复杂性贡献最大。此外，还说明了该方法如何用于确定混合塑料废物流分离复杂性的关键因素，并评估降低混合塑料废物流分离复杂性的措施。
更新日期：2021-07-26
中文翻译：
用统计熵量化混合塑料废物流的分离复杂性：比利时塑料包装废物案例研究
迄今为止，几乎所有社会都存在混合塑料废物流。根据塑料废物流的来源，分离和回收废物流的复杂性和难度各不相同。在本文中，统计熵的概念用于量化混合塑料废物流的分离复杂性。为此，通过添加多产品系统级别来扩展最近提出的多级统计熵分析方法。此外，还概述了可以通过不同统计熵定义解决的研究问题。建议的扩展方法应用于比利时的塑料包装废物案例研究，其数据可在文献中获得。结果表明，基于统计熵的方法可以分析现实生活中混合塑料废物流的分离复杂性。更具体地说，多层薄膜对所研究的塑料包装废物流的分离复杂性贡献最大。此外，还说明了该方法如何用于确定混合塑料废物流分离复杂性的关键因素，并评估降低混合塑料废物流分离复杂性的措施。
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