201. A tool to guide the selection of impact categories for LCA studies by using the representativeness index
- Author
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Antoine Esnouf, Arnaud Helias, Gustave Coste, Reinout Heijungs, Eric Latrille, Jean-Philippe Steyer, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Pôle ELSA, Environmental Life Cycle and Sustainability Assessment (ELSA), Department of Econometrics and Operations Research (Tilburg University), Tilburg University [Netherlands], Department of Industrial Ecology, (KTH), Royal Institute of Technology [Stockholm] (KTH ), Technical University Berlin, ANR-14-CE05-0043, ANR-14-CE05-0043,GreenAlgOhol,Evaluation des potentialités d'une filière de macroalgues vertes cellulosiques pour la production de bioethanol – preuve de concept technique et durabilité(2014), Econometrics and Operations Research, and Tinbergen Institute
- Subjects
Environmental Engineering ,ILCD ,Index (economics) ,010504 meteorology & atmospheric sciences ,Operations research ,Computer science ,LCA ,dimension reduction ,interpretation tools ,life cycle impact assessment ,representativeness ,life cycle inventory ,[SDV]Life Sciences [q-bio] ,méthode d'analyse ,010501 environmental sciences ,01 natural sciences ,Representativeness heuristic ,Life cycle inventory ,Set (abstract data type) ,Life Cycle Inventory ,évaluation de l impact du cycle de vie ,Environmental Chemistry ,Product (category theory) ,Waste Management and Disposal ,Life-cycle assessment ,Selection (genetic algorithm) ,analyse du cycle de vie ,0105 earth and related environmental sciences ,Representativeness ,Life Cycle Impact Assessment ,représentativite ,Pollution ,Interpretation tools ,interprétation des résultats ,[SDE]Environmental Sciences ,Dimension reduction ,impact environnemental ,SDG 12 - Responsible Consumption and Production ,outil d'évaluation - Abstract
International audience; Understanding the environmental profile of a product computed from the Life Cycle Assessment (LCA) framework is sometimes challenging due to the high number of environmental indicators involved. The objective here, in guiding interpretation of LCA results, is to highlight the importance of each impact category for each product alternative studied. For a given product, the proposed methodology identifies the impact categories that are worth focusing on, relatively to a whole set of products from the same cumulated database. The approach extends the analysis of Representativeness Indices (RI) developed by Esnouf et al. (2018). It proposes a new operational tool for calculating RIs at the level of impact categories for a Life Cycle Inventory (LCI) result. Impact categories and LCI results are defined as vectors within a standardized vector space and a procedure is proposed to treat issues coming from the correlation of impact category vectors belonging to the same Life Cycle Impact Assessment (LCIA) method. From the cumulated ecoinvent database, LCI results of the Chinese and the German electricity mixes illustrate the method. Relevant impact categories of the EU-standardized ILCD method are then identified. RI results from all products of a cumulated LCI database were therefore analysed to assess the main tendencies of the impact categories of the ILCD method. This operational approach can then significantly contribute to the interpretation of the LCA results by pointing to the specificities of the inventories analysed and for identifying the main representative impact categories.
- Published
- 2018