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Author |
Parchomenko, A.; Nelen, D.; Gillabel, J.; Vrancken, K.C.M.; Rechberger, H. |
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Title |
Resource effectiveness of the European automotive sector : a statistical entropy analysis over time |
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A1 Journal article |
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Year  |
2021 |
Publication |
Resources Conservation And Recycling |
Abbreviated Journal |
Resour Conserv Recy |
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Volume |
169 |
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Pages |
105558 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
The European automotive sector is faced with potentially disruptive challenges. In particular, the projected increase in the share of electric vehicles (EVs) and calls to prepare for the implementation of more circular economy (CE) strategies are increasingly demanding systemic adaptations. Given the goals of the CE, the adaptations should enable a maximal preservation of the function and value of products (e.g. extension of lifetime), components (e.g. reuse of parts) and materials (e.g., material recycling), thus saving on the energy, materials and effort that would be required to restore the lost functionalities. In this context, statistical entropy analysis (SEA) is proposed as a methodology to assess the effort needed for preserving and restoring functionality at different product, component and material life cycle stages. Effort is measured as changes in statistical entropy that are caused by concentration and dilution activities in the production – consumption – End-of-Life (EoL) system. SEA was applied to a generic model of the European automotive system, in combination with a stock-driven model and a material flow analysis (MFA), allowing statistical entropy changes to be projected over time. The paper demonstrates how SEA can facilitate decision making on the transition towards a more circular economy by quantifying the effects of particular CE strategies and their combinations. The results show that without any additional system adaptations, an increasing share of EVs towards the year 2050 will lead to substantially increased effort in production as well as end-of-life vehicle treatment. |
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Wos |
000657320800074 |
Publication Date |
2021-03-18 |
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ISSN |
0921-3449 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
3.313 |
Times cited |
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Open Access |
OpenAccess |
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Approved |
Most recent IF: 3.313 |
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Call Number |
UA @ admin @ c:irua:179770 |
Serial |
8475 |
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Author |
Parchomenko, A.; Nelen, D.; Gillabel, J.; Vrancken, K.C.M.; Rechberger, H. |
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Title |
Evaluation of the resource effectiveness of circular economy strategies through multilevel statistical entropy analysis |
Type |
A1 Journal article |
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Year |
2020 |
Publication |
Resources Conservation And Recycling |
Abbreviated Journal |
Resour Conserv Recy |
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Volume |
161 |
Issue |
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Pages |
104925-16 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
In a circular economy (CE), materials, components and products should be kept at the highest level of functionality, while phenomena like dilution, mixing and contamination, often referred to as the loss of resources, should be avoided. One method that can assess the performance of systems to concentrate or avoid dilution of resources is Statistical Entropy Analysis (SEA). Up till now, the method has been applied on the substance level (elements and compounds) only, but showed its applicability to various scales and a variety of systems. Further development of the method allowed to consider information on the product, component and material levels, which makes the method applicable to different combinations of CE strategies, both destructive (e.g. recycling) and non-destructive (e.g. reuse). The method is demonstrated on a simplified vehicle life-cycle, which is modeled through four component groups and six materials. It shows that the method allows to evaluate different CE strategies and identify critical stages which lead to the most severe resource and functionality losses. Based on the methods results, it is possible to determine a perfect circularity reference level, representing a system state that preserves functionality and avoids resource losses. The introduction of a circularity reference level enables the establishment of a framework for resource effectiveness in which diluting and concentrating effects of activities (e.g. sorting) are quantified. The distance of a system to an ideal circular state determines the deviation from a resource-effective system that maintains the original product functionality over a maximum period of time, with minimal efforts. |
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000569610400032 |
Publication Date |
2020-06-20 |
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ISSN |
0921-3449 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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Impact Factor |
13.2 |
Times cited |
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Open Access |
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Notes |
; The authors would like to acknowledge the support of Prof. David Laner for his valuable inputs, as well as the financial support of Vito (Flemish Institute for Technological Research) and Altstoff Recycling Austria AG (ARA). ; |
Approved |
Most recent IF: 13.2; 2020 IF: 3.313 |
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Call Number |
UA @ admin @ c:irua:171925 |
Serial |
6512 |
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Author |
Nelen, D.; Manshoven, S.; Peeters, J.R.; Vanegas, P.; D'Haese, N.; Vrancken, K. |
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Title |
A multidimensional indicator set to assess the benefits of WEEE material recycling |
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A1 Journal article |
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Year |
2014 |
Publication |
Journal of cleaner production |
Abbreviated Journal |
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83 |
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305-316 |
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Keywords |
A1 Journal article; Sustainable Energy, Air and Water Technology (DuEL) |
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Abstract |
EU strategies for waste management have long recognized the key role of recycling to move towards sustainable consumption and production. This resulted in a range of regulatory measures, among which the Waste Electrical and Electronic Equipment (WEEE) directive, which sets weight-based targets for recovery, preparation for re-use and recycling. The increasing strategic relevance of the supply of raw materials has, however, spurred a more integrated approach towards resource efficiency. In addition to the prevention of disposal, recycling practices are now also meant to contribute to sustainable materials management by pursuing (i) a higher degree of material cycle closure, (ii) an improved recovery of strategically relevant materials, and (iii) the avoidance of environmental burdens associated with the extraction and refining of primary raw materials. In response to this evolution, this paper reports about the development of an indicator set that allows to quantitatively demonstrate these recycling benefits, hence going further than the weight-based objectives employed in the WEEE directive. The indicators can be calculated for WEEE recycling processes for which information is available on both input and output fractions. It offers a comprehensive framework that aims to support decision making processes on product design, to identify opportunities for the optimization of WEEE End-of-Life scenarios, and to assess the achieved (or expected) results of implemented (or planned) recycling optimization strategies. The paper is illustrated by a case study on the recycling of LCD televisions. (C) 2014 Elsevier Ltd. All rights reserved. |
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Wos |
000343781500030 |
Publication Date |
2014-07-11 |
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ISSN |
0959-6526 |
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Additional Links |
UA library record; WoS full record; WoS citing articles |
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no |
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Call Number |
UA @ admin @ c:irua:121160 |
Serial |
7393 |
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