2012
DOI: 10.3390/su4102430
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Identification and Selection of Alternative Scenarios in LCA Studies of Integrated Waste Management Systems: A Review of Main Issues and Perspectives

Abstract: Life Cycle Assessment (LCA) is a decision support tool that can be used to assess the environmental performance of an integrated waste management system or to identify the system with the best performance through a comparative analysis of different scenarios. The results of the analysis depend primarily on how the scenarios to be compared are defined, that is on which waste fractions are assumed to be sent to certain treatments/destinations and in what amounts. This paper reviews LCAs of integrated waste manag… Show more

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Cited by 15 publications
(3 citation statements)
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“…MSW management is often examined as an entire system; LCA is generally used to compare different scenarios (Tascione and Raggi, 2012) including different phases and possible treatments. Optimisation methods (Digiesi et al, 2015) and the multifunctional approach (Lolli et al, 2016) are also investigated.…”
Section: Topics In the Reviewed Sourcesmentioning
confidence: 99%
“…MSW management is often examined as an entire system; LCA is generally used to compare different scenarios (Tascione and Raggi, 2012) including different phases and possible treatments. Optimisation methods (Digiesi et al, 2015) and the multifunctional approach (Lolli et al, 2016) are also investigated.…”
Section: Topics In the Reviewed Sourcesmentioning
confidence: 99%
“…LCAs typically should not be generalized due to subjectivity in the definition of scenarios [9], influence of local conditions [10] and selection of system boundaries [11]. Risch et al [12] presented the results of an LCA of urban wastewater systems with the objective of quantifying the relative contribution of sewer systems.…”
Section: Impact Assessmentmentioning
confidence: 99%
“…Various types of Life-Cycle-Analysis (LCA) have been proposed for determining the most environmental-sound ISWM procedure [23,24]. Most of them focus on high percentages of separated collection in relatively small and densely populated area: some examples are described in [25][26][27][28].…”
Section: Introductionmentioning
confidence: 99%