Multi-Criteria Analysis and Consequential Lifecycle Assessment of Solid Waste Management: An Integrated Approach

Based on a case study comparing different approaches for management of organic waste generated in the city of Rio de Janeiro, Brazil, this study proposes the combination of consequential lifecycle assessment (CLCA) and multicriteria decision analysis (MCDA). Compared approaches were landfilling with...

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Bibliographic Details
Published inInternational journal of decision support system technology Vol. 13; no. 3; pp. 1 - 17
Main Authors Saraiva, Anna Bernstad, Clímaco, João Namorado, do Valle, Rogerio de Aragão Bastos, Mahler, Claudio
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 01.07.2021
Subjects
Anaerobic digestion
Analysis
Biogas
Case studies
Categories
Decision analysis
Energy recovery
Landfill gas
Life cycle analysis
Life cycle assessment
Multiple criterion
Nutrients
Rankings
Solid waste management
Solid wastes
Brazil
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Summary:Based on a case study comparing different approaches for management of organic waste generated in the city of Rio de Janeiro, Brazil, this study proposes the combination of consequential lifecycle assessment (CLCA) and multicriteria decision analysis (MCDA). Compared approaches were landfilling with energy recovery from landfill gas, source segregation of organics for anaerobic digestion and use of digestate as fertilizer, and finally, post-sorting of organics and landfilling of residual bio-solids. Seven different impact categories were assessed in the CLCA. In addition, recovery of electricity and macro nutrients were included as additional impact categories. The use of VIP analysis facilitates the interpretation of results aggregating them under different conditions. Furthermore, approaches for ranking of considered impact categories could be carried out both for a local or a global perspective. This, and the possibility of easily including additional context derived evaluation parameters, clearly highlights the combination of CLCA and VIP analysis for decision support.
ISSN:1941-6296
1941-630X
DOI:10.4018/IJDSST.2021070101