Cited by 212Extraction and Separation ProcessesSustainability and Ecological Systems AnalysisEnvironmental Impact and Sustainability

Modeling the potential impact of lithium recycling from EV batteries on lithium demand: A dynamic MFA approach

Ziemann, Saskia, Müller, Daniel B., Schebek, Liselotte, Weil, Marcel·2018·Resources, Conservation and Recycling

Integrity signals

Registry

Crossref · 10.1016/j.resconrec.2018.01.031

Cites

44 of 44 references verified0 citation errors · 0 not checkable

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Cites

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Authors
Ziemann, S., Müller, D. B., Schebek, L., & Weil, M.
Affiliations
  • Karlsruhe Institute of Technology (DE)
  • Norwegian University of Science and Technology (NO)
  • Technische Universität Darmstadt (DE)
Corresponding author
Ziemann, Saskia
Venue
Resources, Conservation and Recycling
Publisher
Elsevier BV
Published
2018-06
Volume
133
Pages
76-85
ISSN
0921-3449 (ISSN-L)
OpenAlex
W2789657072
Cited by
212
References
44
Citations by year
2026: 20 · 2025: 22 · 2024: 23 · 2023: 34 · 2022: 40 · 2021: 24 · 2020: 23 · 2019: 21 · 2018: 4 · 2017: 1
FWCI
11.50
Type
journal article
Language
en
Open access
closed
Locations
  • Resources Conservation and Recycling (publishedVersion)
  • Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
  • Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
  • Physical Sciences › Environmental Science › Environmental Engineering › Sustainability and Ecological Systems Analysis
  • Physical Sciences › Environmental Science › Environmental Engineering › Environmental Impact and Sustainability
Keywords
lithium recycling, electric vehicle batteries, lithium demand, lithium-ion batteries, battery recycling, material recovery, recycling infrastructure, raw material supply, dynamic material flow analysis

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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