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Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence.

Authors :
Zhou, Yuekuan
Source :
Applied Energy. Oct2024, Vol. 371, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

As an indispensable component and intermediate bridge, electrochemical battery as an indispensable component is essential for power supply reliability, stability, grid-friendly interaction, sustainability with e-transportation and building electrification. However, the lifecycle carbon intensity of electrochemical batteries is uncertain throughout lifecycle battery-related activities. In this study, a generic methodology is proposed to accurately quantify the lifecycle carbon intensity of electrochemical batteries. A cross-scale multi-stage analytic platform with inter-disciplinary and trans-disciplinary is formulated, involving battery materials (anode, cathode, electrolyte), charging/discharging behaviours, cascade battery utilization, recycling, and reproduction. A case study on a zero-energy district in subtropical Guangzhou indicates that lifetime EV battery carbon intensity is +556 kg CO 2,eq /kWh for the scenario with pure fossil fuel-based grid reliance, while the minimum carbon intensity of EVs at −860 kg CO 2,eq /kWh can be achieved for the solar-wind supported scenario. The grid mandatory EVs charging will slightly increase the battery carbon intensity to −617.2 kg CO 2,eq /kWh, and the exclusion of embodied carbon on both solar PV and wind turbines will increase the battery carbon intensity to −583.8 kg CO 2,eq /kWh. The proposed approach and formulated platform can enable synthetical and comprehensive analysis on battery sustainability, throughout integrated cross-disciplinary approaches for 2060 carbon neutrality in China. [Display omitted] • A cross-disciplinary platform for lifecycle battery carbon footprint. • Raw materials, manufacturing & assembling, and retired battery recycling. • Renewable-based carbon-negative offsetting over carbon-positive stages. • Solar-wind energy district for carbon intensity transit from positive to negative. • Carbon intensity with exclusion of embodied carbon on solar PV and wind turbines • Digital twin on battery sustainability in energy digitalization era. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03062619
Volume :
371
Database :
Academic Search Index
Journal :
Applied Energy
Publication Type :
Academic Journal
Accession number :
178682120
Full Text :
https://doi.org/10.1016/j.apenergy.2024.123665