2021
DOI: 10.1016/j.resconrec.2020.105122
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Dynamic material flow analysis of critical metals for lithium-ion battery system in China from 2000–2018

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Cited by 79 publications
(26 citation statements)
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“…Moreover, LIBs only require short charging times and can be used for many cycles without sacrificing its lifespan. LIBs are commonly used as a power supply in portable electronic devices, such as smartphones, laptops and tablets [ 1 , 2 , 3 ]. Most recently, LIBs have grown in popularity in electrical vehicles [ 4 , 5 , 6 ], military devices [ 7 , 8 ] and aerospace industry [ 9 , 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, LIBs only require short charging times and can be used for many cycles without sacrificing its lifespan. LIBs are commonly used as a power supply in portable electronic devices, such as smartphones, laptops and tablets [ 1 , 2 , 3 ]. Most recently, LIBs have grown in popularity in electrical vehicles [ 4 , 5 , 6 ], military devices [ 7 , 8 ] and aerospace industry [ 9 , 10 , 11 ].…”
Section: Introductionmentioning
confidence: 99%
“…When more EVs and batteries reach their end of life (EoL), secondary cobalt provision through recycling will be essential to supplement the primary supply 30,31 . There has been a growing body of literature on global and national cobalt material flows [32][33][34][35][36][37][38] , trade links 39,40 , demand forecasting 41 , and recycling potential (mostly of lithiumion batteries) [42][43][44][45] . However, the extent to which battery and recycling technology progress will relieve the global and regional cobalt demand-supply imbalance, particularly considering the spatiotemporal variations in different world regions, remains poorly understood.…”
mentioning
confidence: 99%
“…The former are particularly useful to model and reproduce the evolution of systems in the past, since data on historic inflows tend to be more easily accessible than data on historic stocks (Chen & Shi, 2012; Chen & Graedel, 2012b; Liu & Müller, 2013). In addition, inflow‐driven models tend to be more accurate in the short term because they allow for the modeling of sudden changes such as migration waves or the market penetration of new technologies (Ciacci et al., 2019; Liu et al., 2021). Conversely, stock‐driven models, particularly for entities with long lifetimes such as cars or buildings, are well suited for longer‐term prospective studies because stocks average out inflow fluctuations and are thus less sensitive to business cycles (Hatayama et al., 2012).…”
Section: Discussionmentioning
confidence: 99%