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Other literature type . 2024
License: CC BY
Data sources: ZENODO
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Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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Waste Projection Volume for Lithium-ion Batteries in Australia by 2050

Authors: Mohammad, Ratul;

Waste Projection Volume for Lithium-ion Batteries in Australia by 2050

Abstract

Due to the rise in EV adoption in Australia, there needs to be a policy to deal with spent EV batteries in a sustainable and environmentally friendly manner. Australia has no established EV battery recycling industry, as the industry considers the volume too "low" for investment. This study shows the growth of the battery waste volume on an annual basis until 2050. It uses the growth model of both BEV and PHEV to understand when a "sizeable" volume would arrive in Australia. By 2050, the modelling suggests an annual outflow of spent batteries between 500,000 and 900,000 tonnes. The model demonstrated that features like battery chemistry type, size, and lifetime significantly affected the potential values that could be extracted from recycling these batteries. The results of this study can used by stakeholders to further policymaking and inform investment. 

Keywords

Material Flow Analysis, Lithium-ion Batteries, Circular Economy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green