Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence
Yuekuan Zhou
Applied Energy, 2024, vol. 371, issue C, No S0306261924010481
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 CO2,eq/kWh for the scenario with pure fossil fuel-based grid reliance, while the minimum carbon intensity of EVs at −860 kg CO2,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 CO2,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 CO2,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.
Keywords: Battery sustainability; Sustainable development goals; Cross-scale multi-stage analytic platform; Lifecycle carbon analysis; Energy digitalisation; Carbon neutrality (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:371:y:2024:i:c:s0306261924010481
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DOI: 10.1016/j.apenergy.2024.123665
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