Consistent normalization approach for Life Cycle Assessment based on inventory databases.

The process-based life cycle assessments (LCA) of goods and services are calculated using a bottom-up approach related to a functional unit. However, this does not provide any information regarding the scale of the environmental impacts. Therefore, the normalization allows to relate the impacts to a reference system (specific countries, regions or even the whole world). These references are usually obtained from top-down approach. The different data sources introduce inconsistencies on results and raise doubts on their adequacy and representativity. This paper proposes a novel approach for determining the data for the reference in order to ensure consistency about boundaries, data sources and modelling hypotheses describing the system. For this purpose, normalization is applied as an expression of the result relative to the average component of the reference system, instead of the sum of all the components. The reference values are determined from the geometric means of the datasets of the inventory database, used for assessing the studied systems. The exemplary application to the ecoinvent databases provides normalization references for 878 versions of the impacts categories listed by ecoinvent and for the 2077 involved substances. For eight impact assessment methods, the results are compared with 16 normalization sets from the literature and point out highly significant correlations.

[1]  Sarah Schmidt,et al.  EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi‐Regional Input‐Output Tables , 2018 .

[2]  Gregor Wernet,et al.  The ecoinvent database version 3 (part I): overview and methodology , 2016, The International Journal of Life Cycle Assessment.

[3]  Thomas P. Seager,et al.  Normalization in Comparative Life Cycle Assessment to Support Environmental Decision Making , 2017 .

[4]  Sangwon Suh,et al.  The Importance of Normalization References in Interpreting Life Cycle Assessment Results , 2013 .

[5]  Sala Serenella,et al.  Supporting information to the characterisation factors of recommended EF Life Cycle Impact Assessment methods , 2018 .

[6]  Jonas Eberle,et al.  Gross changes in reconstructions of historic land cover/use for Europe between 1900 and 2010 , 2015, Global change biology.

[7]  Mark A. J. Huijbregts,et al.  USEtox—the UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment , 2008 .

[8]  Bo Weidema,et al.  In Search of a Consistent Solution to Allocation of Joint Production , 2018 .

[9]  Antoine Esnouf,et al.  Representativeness of environmental impact assessment methods regarding Life Cycle Inventories. , 2017, The Science of the total environment.

[10]  Pascal Lesage,et al.  Uncertainty analysis in LCA using precalculated aggregated datasets , 2018, The International Journal of Life Cycle Assessment.

[11]  Michael Zwicky Hauschild,et al.  Spatial differentiation in life cycle impact assessment - the EDIP-2003 methodology. Guidelines from the Danish EPA , 2004 .

[12]  Sala Serenella,et al.  Supporting information to the characterisation factors of recommended EF Life Cycle Impact Assessment methods: New methods and differences with ILCD , 2018 .

[13]  Pascal Lesage,et al.  Empirically based uncertainty factors for the pedigree matrix in ecoinvent , 2016, The International Journal of Life Cycle Assessment.

[14]  Sangwon Suh,et al.  What distribution function do life cycle inventories follow? , 2017, The International Journal of Life Cycle Assessment.

[15]  Reinout Heijungs,et al.  Bias in normalization: Causes, consequences, detection and remedies , 2007 .

[16]  Thomas Gloria,et al.  Development of the method and U.S. normalization database for Life Cycle Impact Assessment and sustainability metrics. , 2006, Environmental science & technology.

[17]  G. Norris,et al.  TRACI the tool for the reduction and assessment of chemical and other environmental impacts , 2002 .

[18]  Reinout Heijungs,et al.  A tool to guide the selection of impact categories for LCA studies by using the representativeness index. , 2019, The Science of the total environment.

[19]  Massimo Pizzol,et al.  Normalisation and weighting in life cycle assessment: quo vadis? , 2017, The International Journal of Life Cycle Assessment.

[20]  Serenella Sala,et al.  Uncertainty and sensitivity analysis of normalization factors to methodological assumptions , 2016, The International Journal of Life Cycle Assessment.

[21]  Reginald B. H. Tan,et al.  The New International Standards for Life Cycle Assessment: ISO 14040 and ISO 14044 , 2006 .

[22]  Stefanie Hellweg,et al.  Evaluation of Long-Term Impacts in LCA , 2004 .