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.
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Bertin, B., Scuturici, M., Pinon, JM., Risler, E. (2012). Semantic Modelling of Dependency Relations between Life Cycle Analysis Processes. In: Auweter, A., Kranzlmüller, D., Tahamtan, A., Tjoa, A.M. (eds) ICT as Key Technology against Global Warming. ICT-GLOW 2012. Lecture Notes in Computer Science, vol 7453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32606-6_9
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DOI: https://doi.org/10.1007/978-3-642-32606-6_9
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