This study examines the long-term energy and sustainability prospects of the current trend towards bolstering a secure and resilient midstream and downstream value chain of EV batteries for the US. There are three folders under this repository:
- Characterization factors
- LCI
- LCIA results
There are 7 excel files in this folder, representing characterization factors for the pre-pandemic power grid configuration in 2019 and power grid projection in 2025, 2030, 2035, 2040, 2045, and 2050.
There is 1 excel file in this folder, including the LCI for 2019 US EV fleet, EV projection from 2025 to 2050 every 5 years, and transportation.
There are 6 excel files in this folder:
This file aggregates the bulky list of LCIA results for the US EV fleet case, reshoring, and ally-shoring scenarios with technology as usual, which are used to plot Fig. 2 and Fig. 3.
These files aggregate the bulky list of LCIA results for BAU, reshoring, and ally-shoring scenarios, respectively, which are used to plot Fig. 4a-d, Supplementary Fig. 4, and Supplementary Fig. 5.
This file presents the summarized LCIA results of the projected BAU, reshoring, and ally-shoring scenarios in 2025, 2030, 2035, 2040, 2045, and 2050, respectively, which are used to plot Fig.4e-g.
This file further aggregates the LCIA results from processes into life cycle stages for the projected BAU, reshoring, and ally-shoring scenarios in 2025, 2030, 2035, 2040, 2045, and 2050, respectively.
Please use the following citation when using the data, methods or results of this work:
Lal, A., & You, F.* (2022), Will reshoring electric vehicle battery manufacturing support renewable energy transition and climate targets? Science Advances, 9, eadg6740 (2023).DOI:10.1126/sciadv.adg6740
