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Parchomenko, A.; Nelen, D.; Gillabel, J.; Vrancken, K.C.M.; Rechberger, H. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
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Title |
Evaluation of the resource effectiveness of circular economy strategies through multilevel statistical entropy analysis |
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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 |
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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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Wos |
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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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
; 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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Permanent link to this record |
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Author |
Parchomenko, A.; Nelen, D.; Gillabel, J.; Vrancken, K.C.M.; Rechberger, H. |
![goto web page (via DOI) doi](http://nano.uantwerpen.be/nanorefs/img/doi.gif)
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Title |
Resource effectiveness of the European automotive sector : a statistical entropy analysis over time |
Type |
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 |
Issue |
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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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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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Notes ![sorted by Notes field, descending order (down)](img/sort_desc.gif) |
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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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Permanent link to this record |