Semantic modelling of dependency relations between life cycle analysis processes

  • Authors:
  • Benjamin Bertin;Marian Scuturici;Jean-Marie Pinon;Emmanuel Risler

  • Affiliations:
  • CNRS, INSA-Lyon, LIRIS, UMR5205, Université de Lyon, Villeurbanne Cedex, France;CNRS, INSA-Lyon, LIRIS, UMR5205, Université de Lyon, Villeurbanne Cedex, France;CNRS, INSA-Lyon, LIRIS, UMR5205, Université de Lyon, Villeurbanne Cedex, France;CNRS INSA-Lyon, ICJ, UMR5208, Université de Lyon, Villeurbanne Cedex, France

  • Venue:
  • ICT-GLOW'12 Proceedings of the Second international conference on ICT as Key Technology against Global Warming
  • Year:
  • 2012

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Abstract

Life Cycle Assessment provides a well-accepted methodology for modelling environmental impacts of human activities. This methodology relies on the decomposition of a studied system into interdependent processes. Several organisations provide processes databases containing several thousands of processes with their interdependency links. The usual work-flow to manage those databases is based on the manipulation of individual processes which turns out to be a very harnessing work. We propose a new work-flow for LCA inventory databases maintenance based on the addition of semantic information to the processes they contained. This method eases considerably the modelling process and also offers a more understandable model of the dependencies links. In this paper, we explain our approach and some key parts of the implementation. We also present a case study based on the U.S. electricity production and an experiment on the scalability of our implementation.