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RIR-2019 · Logged 13 July 2026
Modeling Global Lithium Recovery Rates Under Variable Battery Chemistry and Lifetime Distribution Scenarios
The supply of secondary lithium from recycling is currently limited by uncertainties in battery lifetime and chemical diversity. This research direction uses simulation to model how different recovery rates impact global lithium supply chains by 2050.
In plain words
Recycling old batteries could add to the world's lithium supply, but it is uncertain how long batteries last and what they contain. This study would use simulations to see how those unknowns change recycled lithium supply by 2050.
Primary research question
How do variations in battery lifetime distributions affect the projected global supply of recycled lithium?
Knowledge gap
What remains worth asking
It remains useful to test the sensitivity of recycling supply models to changes in battery chemistry and collection efficiency.
Potential contribution
Why it may matter
Accurate supply modeling is vital for planning the circular economy of battery materials in the energy transition.
Academic placement
Academic fields and topic tags
Study frame: Global lithium-ion battery recycling markets through 2050. · Method signals: Monte Carlo Simulation, Supply Chain Modeling
Possible study pathways
One question, different levels
Research master’s
Quantitative modeling of material recovery rates in circular supply chains.
Doctoral
Long-term forecasting of secondary material availability for sustainable energy systems.
- originality
- Moderate
- methodology
- Advanced
- Data access
- Moderate
- ethics
- Accessible
Quality and audit
85/100 quality
Safeguard-based audit was not recorded under the prior standard.
- Focuses on the uncertainty propagation in recycling supply chain models.
- Open-access scholarly source and DOI metadata verified
This older record can be checked against the current standard on request. It changes only if every academic gate and independent safeguard passes.
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Research Idea curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
The public contributor code contains no name or account email.
APA 7 source
Kresse, C., Bookhagen, B., Buarque Andrade, L., & Frenzel, M. (2025). Global Supply of Secondary Lithium from Lithium-Ion Battery Recycling. Recycling, 10(4), 122. https://doi.org/10.3390/recycling10040122
Paper abstract and discussion context; AI-inferred direction
This is an AI-inferred direction. The source authors did not state it as a recommendation.
Open source ↗