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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References
GABI Life Cycle Inventory Databases PE International, http://www.gabi-software.com/ (last accessed: December 16, 2011)
U.S. Life Cycle Inventory Database. National Renewable Energy Laboratory, http://www.nrel.gov/lci/ (last accessed: September 1, 2011)
ISO 14044 (2006): Environmental Management – Life Cycle Assessment – requirements and guidelines. International standard, International Organisation for Standardisation (ISO) (2006)
Bertin, B., Scuturici, M., Pinon, J.M., Risler, E.: A Semantic Approach to Life Cycle Assessment Applied on Energy Environmental Impact Data Management. In: Workshop on Energy Data Management in Conjunction with EDBT (2012)
Beckett, D.: Turtle Terse RDF Triple Language. W3C Recommendation (2011)
Pechan, E.H., Associates., Inc.: The Emissions & Generation Resource Integrated Database for 2010 Technical Support Document. U.S. Environmental Protection Agency, Washington, D.C (2010)
Frischknecht, R.: G Rebitzer. The ecoinvent database system: a comprehensive web-based LCA database. Journal of Cleaner Production (2005)
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition (1993)
Guinée, J.B.: Handbook on Life Cycle Assessment: Operational Guide to the ISO Standards. Springer, New York (2002)
Heijungs, R., Suh, S.: The computational structure of life cycle assessment. Kluwer Academic Publishers, Dordrecht (2002)
Klyne, G., Carroll, J.J. (eds.): Resource Description Framework (RDF): Concepts and Abstract Syntax. W3C Recommendation (2004)
Leontief, W.: Input-Output Analysis, pp. 53–83. University of British Columbia Press (1986)
McGuinness, D., van Harmelen, F. (eds.): OWL 2 Web Ontology Language Document Overview. W3C Recommendation (2009)
McGuinness, D.L.: Ontologies come of age. In: The Semantic Web: Why, What, and How, pp. 171–192. MIT Press (2002)
Peters, G.P.: Efficient Algorithms for Life Cycle Assessment, Input-Output Analysis, and Monte-Carlo Analysis. The International Journal of Life Cycle Assessment (2007)
Prud’hommeaux, E., Seaborne, A. (eds.): SPARQL Query Language for RDF. W3C Recommendation (2008)
Frischknecht, R., Jungbluth., N., Althaus, H., et al.: Introduction The ecoinvent Database: Overview and Methodological Framework. The International Journal of Life Cycle Assessment (2005)
Varga, R.: Matrix Iterative Analysis. Series in Computational Mathematics. Springer (2010)
Nicholson, W.K.: Elementary linear algebra with applications. PWS-Kent Publishing Company (1990)
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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
Publisher Name: Springer, Berlin, Heidelberg
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