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Applying Life Cycle Assessment to Simulation-Based Decision Support: A Swedish Waste Collection Case Study

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Yu Liu

    (University of Skövde)

  • Anna Syberfeldt

    (University of Skövde)

  • Mattias Strand

    (University of Skövde)

Abstract

A method of integrating life cycle assessment into a simulation-based decision support system has been developed to help decision makers take environmental impact into account during daily operations. The method was demonstrated in a real-world case study involving eight different trucks, which were selected and maintained by the case company. The trucks used different fuels, namely diesel, biodiesel, vehicle gas, and electricity. Compared to conventional diesel trucks, those using biodiesel emitted 37% less greenhouse gas (GHG) emissions. Gas trucks reduced GHG emissions by a further 40%. Overall, electric trucks have the lowest emissions. This paper also addresses the development of the methodology for this study. In particular, comparisons are made regarding the selection of different functional units and system activity mapping. Ways of achieving more accurate conclusions in future studies are discussed.

Suggested Citation

  • Yu Liu & Anna Syberfeldt & Mattias Strand, 2020. "Applying Life Cycle Assessment to Simulation-Based Decision Support: A Swedish Waste Collection Case Study," Progress in IS, in: Rüdiger Schaldach & Karl-Heinz Simon & Jens Weismüller & Volker Wohlgemuth (ed.), Advances and New Trends in Environmental Informatics, pages 165-178, Springer.
  • Handle: RePEc:spr:prochp:978-3-030-30862-9_12
    DOI: 10.1007/978-3-030-30862-9_12
    as

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