Sustainability-based Optimization Criteria for Industrial Symbiosis: The Symbioptima Case

C. Brondi*, S. Cornago, A. Ballarino, A. Avai, D. Pietraroia, U. Dellepiane, M. Niero

*Corresponding author for this work

    Research output: Contribution to journalConference articleResearchpeer-review

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    The United Nations' Sustainable Development Goals require industrial infrastructures to provide a positive impact on society by reducing waste generation and resource consumption. The enhancement and optimization of symbiotic aspects in industry clusters can support the achievement of such goals. The present paper illustrates a new quantification methodology to foster the implementation of industrial symbiosis within existing industry clusters. A Java tool has been developed to track and optimize material and energy flows within different symbiosis scenarios. The quantitative assessment is focused on identifying environmental, social and cost gains for specific Key Performance Indicators, considering a comprehensive Life Cycle Sustainability Assessment (LCSA) perspective. Furthermore, multi-criteria optimization allows to identify heuristic solutions for symbiosis scenarios. The tool has been implemented with reference to a symbiosis case from the Steel Sector. Preliminary results evidence that industrial symbiosis and industrial sustainability are complementary but different areas. Moreover, concurrent applications of such paradigms introduce a number of new challenges and operational managerial issues to be addressed.
    Original languageEnglish
    JournalProcedia CIRP
    Pages (from-to)855-860
    Number of pages6
    Publication statusPublished - 2018
    Event25th CIRP Life Cycle Engineering (LCE) Conference - Copenhagen, Denmark
    Duration: 30 Apr 20182 May 2018
    Conference number: 25


    Conference25th CIRP Life Cycle Engineering (LCE) Conference
    Internet address


    • Industrial Symbiosis
    • LCA
    • LCSA
    • Optimization
    • Sustainable Development Goals

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