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dc.contributor.authorRinke Dias de Souza, Nariê
dc.contributor.authorMatt, Livia
dc.contributor.authorSedrik, Rauno
dc.contributor.authorVares, Lauri
dc.contributor.authorCherubini, Francesco
dc.date.accessioned2024-01-12T12:10:06Z
dc.date.available2024-01-12T12:10:06Z
dc.date.created2023-12-04T10:03:22Z
dc.date.issued2023
dc.identifier.issn2352-5509
dc.identifier.urihttps://hdl.handle.net/11250/3111305
dc.description.abstractUnlike the fossil-based alternatives, many emerging bio-based technologies are still at the early lab or pilot scale and are not representative of optimized industrial conditions. This makes a robust comparison of their environmental performances via life-cycle assessment (LCA) challenging. We propose a framework to combine scaling-up projections of early-stage technologies (ex-ante LCA) with the influence of future socio-economic scenarios (prospective LCA), using a range of new bio-based polymers produced from forest residues as case study. The combined framework takes a step-by-step approach in modifying process inventories and projecting them to a future industrial scale for the environmental impact assessment. In our case study, the climate change impact from lab-scale processes decreases from 105–471 kg CO2-eq./kg of polymer to 9–14 kg CO2-eq./kg after the application of ex-ante LCA, with the highest reduction (83 %) coming from identified process synergies (e.g., solvent recovering). Combining the ex-ante and prospective LCA additionally reduces the impact up to 56 % by 2050, relative to ex-ante LCA results only. Other environmental impacts decrease as well, particularly freshwater eutrophication (up to 99 % reduction), photochemical oxidant formation (99 %), and marine eutrophication (98 %). The framework secures a more robust comparison of emerging bio-based products with conventional fossil-based alternatives, and as such it helps the identification of the improvements in both the bio-based technological processes and background supply chains that are needed to make bio-based systems outperform their fossil counterparts. A consistent integration of ex-ante and prospective LCA is instrumental to prioritize research and investments for upscaling the early-stage technologies that are most promising from a sustainability perspective, and ultimately guide a sustainable transition towards a circular bioeconomy.en_US
dc.language.isoengen_US
dc.publisherElsevier B. V.en_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIntegrating ex-ante and prospective life-cycle assessment for advancing the environmental impact analysis of emerging bio-based technologiesen_US
dc.title.alternativeIntegrating ex-ante and prospective life-cycle assessment for advancing the environmental impact analysis of emerging bio-based technologiesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber319-332en_US
dc.source.volume43en_US
dc.source.journalSustainable Production and Consumptionen_US
dc.identifier.doi10.1016/j.spc.2023.11.002
dc.identifier.cristin2208136
dc.relation.projectThe EEA and Norway Grants Fund for Regional Cooperation: EEA Grants 2014-2021 - Baltic Research Programme EMP426.en_US
dc.relation.projectThe EEA and Norway Grants Fund for Regional Cooperation: EMP426en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal