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Hybridization of complete PLCA and MRIO databases for a comprehensive product system coverage

Bibliographic Data

ID19469324
AuthorsMaxime Agez (0000-0003-0238-7352, Department of Chemical Engineering , Ecole Polytechnique de Montreal Montreal Canada, corresponding author), Richard Wood (0000-0002-7906-3324, Industrial Ecology Programme Norwegian University of Science and Technology Trondheim Norway), Manuele Margni (0000-0002-2475-0768, Department of Industrial Engineering, Ecole Polytechnique de Montreal Montreal Canada), Anders Hammer Strømman (0000-0003-2987-5583, Norwegian University of Science and Technology), Réjean Samson (Department of Chemical Engineering , Ecole Polytechnique de Montreal Montreal Canada), Guillaume Majeau‐Bettez (0000-0002-0151-2468, Department of Chemical Engineering , Ecole Polytechnique de Montreal Montreal Canada)
Year2020
Volume24
Issue4
Pages774-790
Publication date2020-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Industrial Ecology (JOURNAL)
Journal identifiersISSN: 1088-1980 • E-ISSN: 1530-9290
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1111/jiec.12979
OpenAlexW2999762634
LanguageEN
Citations received9
References cited40

Process‐based Life Cycle Assessments (PLCA) rely on detailed descriptions of extensive value chains and their associated exchanges with the environment, but major data gaps limit the completeness of these system descriptions and lead to truncations in inventories and underestimations of impacts. Hybrid Life Cycle Assessments (HLCA) aim to combine the strength of PLCA and Environmentally Extended Input Output (EEIO) analysis to obtain more specific and complete system descriptions. Currently, however, most HLCAs only remediate truncation of processes that are specific to each case study (foreground processes), and these processes are then linked to (truncated) generic background processes from a non‐hybridized PLCA database. A hybrid PLCA‐EEIO database is therefore required to completely solve the truncation problems of PLCA and thus obtain a comprehensive product system coverage. This paper describes the construction of such a database using pyLCAIO, a novel framework and open‐source software enabling the streamlined hybridization of entire PLCA and EEIO databases. We applied this framework to the PLCA database Ecoinvent3.5 and the multiregional EEIO database EXIOBASE 3. Thanks to the correction for truncation in this new hybrid database, the median and average life cycle global warming potential (GWP) of its processes increased by 7% and 14%, respectively. These corrections only reflect the truncations that could be readily identified and estimated in a semi‐automated manner; and we anticipate that further database integration should lead to higher levels of correction in the future

Data mining · Database · Computer Science · Environmental Impact and Sustainability · Mathematics · Recycling and Waste Management Techniques · Sustainable Supply Chain Management

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Unique citing works9
Citations per year2.25
Citation span2022 - 2026 (5)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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