TY - JOUR
T1 - The Lifetime Carbon Footprint of Lithium-Ion Battery Systems in Exemplary Applications
AU - Parlikar, Anupam
AU - Collath, Nils
AU - Tepe, Benedikt
AU - Hesse, Holger
AU - Jossen, Andreas
N1 - Publisher Copyright:
© 2024, Scanditale AB. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Energy storage plays a crucial role in the energy transition. Lithium-ion cell technology is the leading energy storage technology today across both the major pillars of the energy sector: mobility and electricity. Lithium-ion batteries are deployed in electric vehicles spanning all segments, and in stationary battery energy storage systems to provide a variety of both gridconnected and off-grid services. While there are no direct emissions due to the use of this technology, the carbon footprint of a Lithium-ion battery comprises of indirect emissions in its production, its operation, and recycling phases. Repurposing of decommissioned automotive batteries in ‘second-life’ stationary applications is a widely discussed concept to meaningfully extend the battery lifecycle before recycling. In this work, the lifecycle carbon footprint of Lithium-ion batteries operating in three overarching pathways is quantified simulatively with open-source python-based energy system and battery system simulation programs. These pathways are – i) automotive application (A), ii) stationary application (S), and iii) automotive application followed by a second-life stationary application (AS). From the dual perspective of decarbonization and resource efficiency, it is essential to identify the most effective lifecycle pathways for battery system applications. The metric ‘Levelized Emissions of Energy Supply’, LEES, is used to compare the scenarios. It is found that under the considered assumptions and simulation conditions, the S pathway performs the best, followed by the cascaded AS pathway. The automotive pathway A has the highest LEES value.
AB - Energy storage plays a crucial role in the energy transition. Lithium-ion cell technology is the leading energy storage technology today across both the major pillars of the energy sector: mobility and electricity. Lithium-ion batteries are deployed in electric vehicles spanning all segments, and in stationary battery energy storage systems to provide a variety of both gridconnected and off-grid services. While there are no direct emissions due to the use of this technology, the carbon footprint of a Lithium-ion battery comprises of indirect emissions in its production, its operation, and recycling phases. Repurposing of decommissioned automotive batteries in ‘second-life’ stationary applications is a widely discussed concept to meaningfully extend the battery lifecycle before recycling. In this work, the lifecycle carbon footprint of Lithium-ion batteries operating in three overarching pathways is quantified simulatively with open-source python-based energy system and battery system simulation programs. These pathways are – i) automotive application (A), ii) stationary application (S), and iii) automotive application followed by a second-life stationary application (AS). From the dual perspective of decarbonization and resource efficiency, it is essential to identify the most effective lifecycle pathways for battery system applications. The metric ‘Levelized Emissions of Energy Supply’, LEES, is used to compare the scenarios. It is found that under the considered assumptions and simulation conditions, the S pathway performs the best, followed by the cascaded AS pathway. The automotive pathway A has the highest LEES value.
KW - Battery Electric Vehicle
KW - Battery Energy Storage System
KW - Electric Vehicle
KW - Second-Life Battery System
UR - http://www.scopus.com/inward/record.url?scp=85190657739&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85190657739
SN - 2004-2965
VL - 38
JO - Energy Proceedings
JF - Energy Proceedings
T2 - 15th International Conference on Applied Energy, ICAE 2023
Y2 - 3 December 2023 through 7 December 2023
ER -