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Autor(en): Prenzel, Tobias Manuel
Hohmann, Andrea
Prescher, Tim
Angerer, Kerstin
Wehner, Daniel
Ilg, Robert
von Reden, Tjark
Drechsler, Klaus
Albrecht, Stefan
Titel: Bringing light into the dark : overview of environmental impacts of carbon fiber production and potential levers for reduction
Erscheinungsdatum: 2023
Dokumentart: Zeitschriftenartikel
Seiten: 23
Erschienen in: Polymers 16 (2024), No. 12
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-144084
http://elib.uni-stuttgart.de/handle/11682/14408
http://dx.doi.org/10.18419/opus-14389
ISSN: 2073-4360
Zusammenfassung: Carbon fibers (CFs) are a crucial material for lightweight structures with advanced mechanical performance. However, there is still a paucity of detailed understanding regarding the environmental impacts of production. Previously, mostly singled-out scenarios for CF production have been assessed, often based on scarce transparent inventory data. To expand the current knowledge and create a robust database for future evaluation, a life cycle assessment (LCA) was carried out. To this end, a detailed industry-approved LCI is published, which also proved plausible against the literature. Subsequently, based on a global scenario representing the market averages for precursor and CF production, the most relevant contributors to climate change (EF3.1 climate change, total) and the depletion of fossil energy carriers (EF3.1 resource use, fossil) were identified. The energy consumption in CF manufacturing was found to be responsible for 59% of the climate change and 48% of the fossil resource use. To enable a differentiated discussion of manufacturing locations and process energy consumption, 24 distinct scenarios were assessed. The findings demonstrate the significant dependence of the results on the scenarios’ boundary conditions: climate change ranges from 13.0 to 34.1 kg CO2 eq./kg CF and resource use from 262.3 to 497.9 MJ/kg CF. Through the investigated scenarios, the relevant reduction potentials were identified. The presented results help close an existing data gap for high-quality, regionalized, and technology-specific LCA results for the production of CF.
Enthalten in den Sammlungen:02 Fakultät Bau- und Umweltingenieurwissenschaften

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