Coupling material circularity indicators and life cycle based indicators: A proposal to advance the assessment of circular economy strategies at the product level

被引:135
|
作者
Niero, Monia [1 ]
Kalbar, Pradip P. [2 ,3 ]
机构
[1] Aalborg Univ, Dept Planning Sustainable Design & Transit, AC Meyers Vaenge 15, DK-2450 Copenhagen, Denmark
[2] Indian Inst Technol, CUSE, Bombay 400076, Maharashtra, India
[3] Indian Inst Technol, Interdisciplinary Programme IDP Climate Studies, Bombay 400076, Maharashtra, India
关键词
Multi criteria decision analysis; Life cycle assessment; Circular economy; TOPSIS; Packaging; Circularity indicators; MULTICRITERIA DECISION-ANALYSIS; RESOURCE EFFICIENCY; CARBON FOOTPRINT; SUSTAINABILITY; PERFORMANCE; CONSUMPTION; SELECTION; SYSTEM; IMPLEMENTATION; COUNTRIES;
D O I
10.1016/j.resconrec.2018.10.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The debate on the identification of the most suited metrics for circular economy (CE) is open, no consensus has been reached yet on what CE indicators at product level should measure, which creates a subjective methodological framework for assessing CE strategies. In this study, we demonstrate that by coupling different types of indicators via Multi Criteria Decision Analysis (MCDA) it is possible to deal with conflicting situations where the selection of the best alternative can be biased by the choice of the metric. We use a beer packaging case, by simulating a situation where a company is interested in comparing the performances of different packaging from a CE perspective. We consider eight different beer packaging alternatives in two geographical contexts (United Kingdom and India). Two sets of indicators are coupled via MCDA: i) material circularity based-indicators, namely Material Reutilization Score and Material Circularity Indicator, and ii) a selection of life cycle based indicators relevant for beer, i.e. climate change, abiotic resource depletion, acidification, particulate matter and water consumption. The results obtained by the application of the TOPSIS (Technique for Order by Similarity to Ideal Solution) method show that the different sets of indicators can be integrated and conflicts among them can be resolved. Overall, the application of different weighting scenarios does not change the ranking of the alternatives, thus confirming that the results are stable. Therefore, our proposal of coupling material circularity indicators with LCA indicators via MCDA can advance the assessment of CE strategies at the product level.
引用
收藏
页码:305 / 312
页数:8
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