Abstract
This article deals with uncertainties in particular with the uncertainty of inventory data analysis. Uncertainties cannot be avoided in LCA studies. Therefore, they should be analysed and interpreted. One problem is that in many LCA studies uncertainties are not noted. In ecoinvent, which is an example for an inventory database, the lognormal distribution is choosen as the dataset’s standard distribution type. One reason is that many quantities found in nature can only take positive values. In most cases, however, the normal distribution can as well be taken as the default distribution type. In this article the uncertainty information of the ecoinvent datasets is explained and uncertainty analysing methods like the Monte Carlo simulation, der pedigree matrix or the sensitivity analysis are described. Furthermore, the convolution is mentioned as a method for analyzing the sucsessive uncertainty propagation through an LCA model. For using the convolution, the LCA data should be independent, continuous and normal distributed. In addition to that the LCA model should be a linear and not a complex system. Since the convolution is a new approach further research will be required.
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References
Bourgault, G.: How to Interpret the Uncertainty Fields in Ecoinvent? Ecoinvent Association. Zürich. Available online at http://www.ecoinvent.org/support/faqs/methodology-of-ecoinvent-3/how-to-interpret-the-uncertainty-fields-in-ecoinvent.html. Last updated 02 Dec 2016, last checked 02 Dec 2016 (2016)
Bourgault, G.: Reasons for the Choice of Probability Density Functions of LCI-Data. Zürich. Available online at http://www.ecoinvent.org/support/ecoinvent-forum/topic.html?&tid=270. Last updated 26 Feb 2016, last checked 26 Feb 2016 (2017)
Feck, N.: Monte-Carlo-Simulation bei der Lebenszyklusanalyse eines Hot-Dry-Rock-Heizkraftwerkes. Dissertation, Ruhr-Universität Bochum, Bochum. Fakultät für Maschinenbau (2007)
Goedkoop, M. et al.: SimaPro Tutorial. PRé (5.3) (2016)
Hauschild, M., Huijbregts, M.A.J. (Hg.): Life Cycle Impact Assessment. Springer (LCA compendium, the complete world of life cycle assessment), Dordrecht. Available online at http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=970501 (2015)
Hedderich, J., Sachs, L.: Angewandte Statistik. Methodensammlung mit R. 15., überarb. u. erweiterte Aufl. Springer Spektrum, Berlin (2015)
Heijungs, R., Suh, S.: The Computational Structure of Life Cycle Assessment, p. 11. Kluwer Academic Publishers (Eco-efficiency in industry and science, Boston (2002)
Holzmann, G., Meyer, H., Schumpich, G., Eller, C., Dreyer, H.-J.: Technische Mechanik. Statik. 12., verb. Aufl., unveränd. Nachdr. Vieweg + Teubner (Studium,/Günther Holzmann; Heinz Meyer; Georg Schumpich), Wiesbaden
Hübner, G.: Stochastik. Eine anwendungsorientierte Einführung für Informatiker, Ingenieure und Mathematiker. 5., verb. Aufl. Vieweg + Teubner (Studium), Wiesbaden (2009)
Huijbregts, M., Heijungs, R. et al.: Complexity and Integrated Resource Management: Uncertainty in LCA. Int. J. Life Cycle Assess. (5), S. 341–342 (2004)
Koch, A.L.: The logarithm in biology. Mechanismus generating the log-normal distribution exactly. J. Theoret. Biol. 12, 276–290 (1966)
Limpert, E., Ohmayer, G., Stahel, W.A.: Eine Grundlage der Datenanalyse: Addiert oder multipliziert die Natur? BioScience 51(5), S. 341–352. Available online at http://www.gil-net.de/Publikationen/24_191.pdf. Last checked 02 Dec 2016 (2001a)
Limpert, E., Stahel, W.A., Abbt, M.: Log-normal distributions across the science: keys and clues. Bioscience 51(5), 341–352 (2001b)
Lloyd, S.M., Ries, R.: Characterizing, Propagating, and analyzing uncertainty in life-cycle assessment. A survey of quantitative approaches. J. Ind. Ecol. 11(1), S. 161–179 (2007)
Menzel, C.: Unsicherheiten bei Ökobilanzen mit Umberto/ecoinvent. unveröffentlichtes Manuskript. Hochschule Niederrhein. Mönchengladbach (2016)
Muller, S., Lesage, P., Ciroth, A., Mutel C., Weidema, B.P., Samson, R.: The application of the pedigree approach to the distributions forseen in ecoinvent v3. Int. J. Life Cycle Assess. 21, 1327–1337 (2016)
Mutel, C.: Why does the ecoinvent database love the lognormal distribution? Zürich. Available online at https://chris.mutel.org/ecoinvent-lognormal.html. Last updated 12 June 2016, last checked 12 June 2016 (2013)
Opitz, A.: Vergleichende Sachbilanz von Tofu und Schweinefleisch von der Erzeugung bis zur Zubereitung. Bachelorarbeit, Hochschule Niederrhein, Mönchengladbach. Fachbereich Oecotrophologie (2016)
Publication Office of the European Union (Hg.): General guide for Life Cycle Assessment. Detailed guidance. In: ILCD Handbook—International Reference Life Cycle Data System. European Commission-Joint Research Centre—Institute for Environment and Sustainability. Luxemburg (2010)
Qin, Y., Suh, S.: What distribution function do life cycle inventories follow? Int. J. Life Cycle Assess. (2016)
Suh, S., Leighton, M., Tomar, S.: Interoperability between ecoinvent ver. 3 ans US LCI database: a case study. In: Int. J. Life Cycle Assess. 21, S. 1290–1298. Available online at https://link.springer.com/article/10.1007/s11367–013-0592-2/fulltext.html. Last checked 12 Jan 2017 (2016)
Norm DIN EN ISO 14044:2006–10: Umweltmanagement – Ökobilanz – Anforderungen und Anleitungen (2006)
Norm DIN EN ISO 14040:2009–11: Umweltmanagement – Ökobilanz – Grundsätze und Rahmenbedingungen (2009)
Weidema, B.P., Bauer, C., Hischier R., Mutel C., Nemecek, T., Reinhard, J. et al.: The ecoinvent Database: Overview and Methodology. Data quality guideline for the ecoinvent database version 3. Hg. v. ecoinvent centre. Swiss Centre for Life Cycle Inventories. St. Gallen. Available online at www.ecoinvent.org. Last checked 18 Oct 2015 (2013)
Weyerhäuser, K.: Faltung und Korrelation kontinuierlicher Signale. Universität Koblenz, Koblenz. Institut für integrierte Naturwissenschaften Abteilung Physik, Seminararbeit (2005)
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Opitz, A., Menzel, C. (2019). Uncertainty Information in LCI-Databases and Its Propagation Through an LCA Model. In: Schebek, L., Herrmann, C., Cerdas, F. (eds) Progress in Life Cycle Assessment. Sustainable Production, Life Cycle Engineering and Management. Springer, Cham. https://doi.org/10.1007/978-3-319-92237-9_8
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