Evaluation of the resource effectiveness of circular economy strategies through multilevel Statistical Entropy Analysis

Parchomenko, Alexej; Nelen, Dirk; Gillabel, Jeroen; Vrancken, Karl C.; Rechberger, Helmut

doi:10.1016/j.resconrec.2020.104925

Cited by 27 publications

(28 citation statements)

References 37 publications

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“…In this section, the extended multilevel statistical entropy analysis (SEA) method is described for the assessment of the recyclability of plastics. Firstly, the multilevel statistical entropy analysis method of Parchomenko et al, (2020) [35] is introduced with its mathematical description. Subsequently, this methodology is applied to the conceptual example of a fictitious plastic bag.…”

Section: Methodsmentioning

confidence: 99%

“…Consequently, SEA cannot be directly applied to the evaluation of circular economy strategies such as reuse, repair, remanufacturing or combinations of these. To evaluate such circular economy strategies, the multilevel SEA method has been developed by Parchomenko et al, (2020) [35] in which, next to substance level entropies, component and product level statistical entropies are considered. The multilevel SEA method [35] is described in this subsection by making a distinction between the three different levels: substance level, component level and product level.…”

Section: Description Of the Multilevel Statistical Entropy Analysis (Sea) Methodsmentioning

confidence: 99%

“…However, for a decade, the method was only applied to individual substances, limiting its applicability. Recently, however, Parchomenko et al, (2020) [35] extended the method by addressing statistical entropies at the component (consisting of multiple substances) and product (consisting of multiple components) levels, leading towards multilevel statistical entropy analysis. This extension [35] allows us to investigate such circular economy strategies as reuse, repair, remanufacturing or combinations of these.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, however, Parchomenko et al, (2020) [35] extended the method by addressing statistical entropies at the component (consisting of multiple substances) and product (consisting of multiple components) levels, leading towards multilevel statistical entropy analysis. This extension [35] allows us to investigate such circular economy strategies as reuse, repair, remanufacturing or combinations of these. It is important to stress that SEA is not intended as a sustainability metric, but it has been developed to assess resource effectiveness, meaning the ability of a system to preserve functionality on the highest level possible, measured in terms of the statistical entropy changes performed by a system.…”

Section: Introductionmentioning

confidence: 99%

“…This paper starts by recapping the multilevel SEA method by Parchomenko et al (2020) [35] and applies this to a fictitious example of a collection bag for post-consumer recyclable plastics. Subsequently, an extension of the multilevel SEA method with energy consumption aspects is proposed together with a possible recyclability metric.…”

Section: Introductionmentioning

confidence: 99%

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Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

et al. 2021

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Multilevel statistical entropy analysis (SEA) is a method that has been recently proposed to evaluate circular economy strategies on the material, component and product levels to identify critical stages of resource and functionality losses. However, the comparison of technological alternatives may be difficult, and equal entropies do not necessarily correspond with equal recyclability. A coupling with energy consumption aspects is strongly recommended but largely lacking. The aim of this paper is to improve the multilevel SEA method to reliably assess the recyclability of plastics. Therefore, the multilevel SEA method is first applied to a conceptual case study of a fictitious bag filled with plastics, and the possibilities and limitations of the method are highlighted. Subsequently, it is proposed to extend the method with the computation of the relative decomposition energies of components and products. Finally, two recyclability metrics are proposed. A plastic waste collection bag filled with plastic bottles is used as a case study to illustrate the potential of the developed extended multilevel SEA method. The proposed extension allows us to estimate the recyclability of plastics. In future work, this method will be refined and other potential extensions will be studied together with applications to real-life plastic products and plastic waste streams.

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Section: Methodsmentioning

confidence: 99%

Section: Description Of the Multilevel Statistical Entropy Analysis (Sea) Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

et al. 2021

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Entropic Limits of Circular Economy

Giungato,

Rana,

Tricase

et al. 2024

Circular Economy and Sustainability

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Ein neuer Weg zur Bewertung der Recyclingfähigkeit von Produkten mittels Statistischer Entropie: Fallbeispiel Mobiltelefone

Roithner

Cencic

Rechberger

2021

Österr Wasser- und Abfallw

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ZusammenfassungStatistische Entropie kann zur Bewertung von unterschiedlichen Verfahren der Abfallwirtschaft herangezogen werden. Führt das Verfahren zu einer Separierung und damit Konzentrierung einzelner Materialien oder Stoffe, so entspricht dies einer niedrigen Statistischen Entropie, kommt es jedoch zu einer Vermischung und Verdünnung, erhöht sich diese. Recyclingverfahren haben beispielsweise das Ziel, konzentrierte Recyclingoutputs aus einem gemischten Abfallinput zu generieren, was einer Reduzierung der Statistischen Entropie entspricht. Eine Bewertung mittels Statistischer Entropie kann jedoch auch für Produkte selbst verwendet werden. Hierbei werden die Materialzusammensetzung und der Aufbau von Produkten mittels Statistischer Entropie bewertet. Komplexe Produkte, die aus einer Vielzahl von Materialien bestehen, weisen tendenziell eine höhere Statistische Entropie und eine schlechtere Recyclingfähigkeit auf als Produkte, die nur aus einigen wenigen Materialien zusammengesetzt sind. Die Statistische Entropie kann daher als Maß für die Recyclingfähigkeit von Produkten betrachtet werden. Anhand einer Fallstudie zu unterschiedlichen Generationen von Mobiltelefonen wird die Anwendung der neuen Bewertungsmethode demonstriert. Die Ergebnisse der Fallstudie zeigen, dass sich die Bewertung mittels Statistischer Entropie dafür eignet, die produktinhärente Recyclingfähigkeit von Produkten zu bewerten und dabei wichtige Einblicke in das Design for Recycling von Produkten zu liefern. Als Planungs- bzw. Entscheidungstool angewandt, könnte der neue Bewertungsansatz helfen, die Weichen für eine effektive Kreislaufwirtschaft bereits im Produktdesign zu stellen und so in Folge ein besseres Recycling zu ermöglichen.

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Evaluation of the resource effectiveness of circular economy strategies through multilevel Statistical Entropy Analysis

Cited by 27 publications

References 37 publications

Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

Extending Multilevel Statistical Entropy Analysis towards Plastic Recyclability Prediction

Entropic Limits of Circular Economy

Ein neuer Weg zur Bewertung der Recyclingfähigkeit von Produkten mittels Statistischer Entropie: Fallbeispiel Mobiltelefone

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