Permanent record · RIR–2019
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.
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
OECD fields and topic tags
Scope: Global lithium-ion battery recycling markets through 2050. · Method signals: Monte Carlo Simulation, Supply Chain Modeling
Possible study pathways
One question, different levels
Quantitative modeling of material recovery rates in circular supply chains.
Long-term forecasting of secondary material availability for sustainable energy systems.
Qualification signal
85/100
- Focuses on the uncertainty propagation in recycling supply chain models.
- Open-access scholarly source and DOI metadata verified
Provenance
Research Idea Registry curation
- DOI and bibliographic metadata independently resolved
- Open-access status verified
- The research direction is transparently marked as AI-inferred
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
Open source ↗