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1.
Environ Sci Technol ; 55(14): 10097-10107, 2021 07 20.
Article in English | MEDLINE | ID: mdl-34213890

ABSTRACT

Modern automobiles are composed of more than 2000 different compounds comprising 76 different elements. Identifying supply risks across this palette of materials is important to ensure a smooth transition to more sustainable transportation technologies. This paper provides insight into how electrification is changing vehicle composition and how that change drives supply risk vulnerability by providing the first comprehensive, high-resolution (elemental and compound level) snapshot of material use in both conventional and hybrid electric vehicles (HEVs) using a consistent methodology. To make these contributions, we analyze part-level data of material use for seven current year models, ranging from internal combustion engine vehicles (ICEV) to plug-in hybrid vehicles (PHEVs). With this data set, we apply a novel machine learning algorithm to estimate missing or unreported composition data. We propose and apply a metric of vulnerability, referred to as exposure, which captures economic importance and susceptibility to price changes. We find that exposure increases from $874 per vehicle for ICEV passenger vehicles to $2344 per vehicle for SUV PHEVs. The shift to a PHEV fleet would double automaker exposure adding approximately $1 billion per year of supply risk to a hypothetical fleet of a million vehicles. The increase in exposure is largely not only due to the increased use of battery elements like cobalt, graphite, and nickel but also some more commonly used materials, most notably copper.


Subject(s)
Motor Vehicles , Vehicle Emissions , Automobiles , Electricity , Humans , Transportation , Vehicle Emissions/analysis
2.
Nat Commun ; 12(1): 3753, 2021 06 18.
Article in English | MEDLINE | ID: mdl-34145227

ABSTRACT

Climate change will increase the frequency and severity of supply chain disruptions and large-scale economic crises, also prompting environmentally protective local policies. Here we use econometric time series analysis, inventory-driven price formation, dynamic material flow analysis, and life cycle assessment to model each copper supply chain actor's response to China's solid waste import ban and the COVID-19 pandemic. We demonstrate that the economic changes associated with China's solid waste import ban increase primary refining within China, offsetting the environmental benefits of decreased copper scrap refining and generating a cumulative increase in CO2-equivalent emissions of up to 13 Mt by 2040. Increasing China's refined copper imports reverses this trend, decreasing CO2e emissions in China (up to 180 Mt by 2040) and globally (up to 20 Mt). We test sensitivity to supply chain disruptions using GDP, mining, and refining shocks associated with the COVID-19 pandemic, showing the results translate onto disruption effects.


Subject(s)
COVID-19/economics , Carbon Dioxide/chemistry , Copper/chemistry , Environmental Policy/legislation & jurisprudence , SARS-CoV-2/pathogenicity , Solid Waste/economics , COVID-19/epidemiology , COVID-19/transmission , COVID-19/virology , China/epidemiology , Humans , Industry/economics , SARS-CoV-2/isolation & purification , Solid Waste/statistics & numerical data
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