End-of-Life Electric Vehicle Battery Stock Estimation in Ireland through Integrated Energy and Circular Economy Modelling

Fallah, Narjes; Fitzpatrick, Colin; Killian, Sheila; Johnson, Michael

doi:10.1016/j.resconrec.2021.105753

Cited by 38 publications

(22 citation statements)

References 38 publications

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“…The assumption for nickel recycling potential however considers complete recycling of end-of-life vehicles which needs proper collection and waste management strategies to be adopted. Fallah et al (2021) provided a long-term projection of the number of EV fleets and end-of-life battery stock in the Republic of Ireland. The study addressed the uncertainties in the end-of-life battery stock estimation by detecting different influencing factors and modelling the outcomes under different scenarios.…”

Section: Recent Developments and Future Research Directionsmentioning

confidence: 99%

Challenges and recent developments in supply and value chains of electric vehicle batteries: A sustainability perspective

Rajaeifar

Ghadimi

Raugei

et al. 2022

Resources, Conservation and Recycling

174

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Section: Recent Developments and Future Research Directionsmentioning

confidence: 99%

Challenges and recent developments in supply and value chains of electric vehicle batteries: A sustainability perspective

Rajaeifar

Ghadimi

Raugei

et al. 2022

Resources, Conservation and Recycling

174

View full text Add to dashboard Cite

“…For example, the use of car batteries for grid stabilization under large scale intermittent wind and solar production would require an electricity market design fit for that purpose, as IEA ( 2021) states. The stationary use of second life car batteries could then add to that role substantially, as Fallah et al (2021) state for Ireland, with regionalized impact assessment possibly following, see Verones et al (2020).…”

Section: Nine Main Model Types Described and Analyzed Nine Main Model...mentioning

confidence: 99%

Forecasting the Future Sustainability of Technology Choices: Qualitative Predictive Validity of Models as a Complement to Quantitative Uncertainty

Huppes

Schaubroeck

2022

Front. Sustain.

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To support product and technology choices toward a more sustainable future, diverse assessment methods are used, involving life cycle assessment (LCA). This raises the question of their predictive validity. Whereas, many studies focus on quantitative uncertainty, here the main aim is to address the complementary qualitative aspect of the LCA-related model variants. To that end, we first specify three general influential aspects: (1) future conditions, (2) needed predictivity, and (3) mechanism coverage. These have been translated into a more concrete checklist for qualitative predictive validity. Second, we categorized the model variants into a limited number of basic model types, based on five predefined modeling characteristics. These model types show increasingly complex steps for investigating the future, illustrated with energy systems for transport. Different answers to the same questions may result. With increasing model complexity, the relevant questions may change from analysing specific products, to more general product systems, and next to product-technology domain systems. As a third step, the qualitative predictive validity of the nine modeling types is evaluated using the developed checklist. All have limited predictive validity, increasingly so for longer time horizons, as they lack most causal mechanisms, especially the institutional drivers for development and employment of technologies to emerge. Also, the future is only partially determined. For supporting choices, the conclusion is that the comparative analysis regarding long-term also broader product-technology systems has limited predictive validity. As a solution, conditional statements may show directions for explorative analysis resulting in highly tentative advice on potentially attractive directions.

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“…Although (Abdelbaky et al, 2021) evaluated the impact of battery second use on the European EVB waste stream, their analysis takes a static second-life survival rate and without any SOH accountability in the evaluation. Moreover, in our previous work (Fallah et al, 2021), the reuse capacity and volume are estimated by taking assumptions on the growing reuse rate and the SOH at EOL without further investigation on SOH assessment.…”

Section: Introductionmentioning

confidence: 99%

Exploring the State of Health of Electric Vehicle Batteries at End of Use; Hierarchical Waste Flow Analysis to determine the Recycling and Reuse Potential

Fallah

Fitzpatrick

2023

Preprint

Self Cite

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With the increasing adoption of electric vehicles, their end-of-life management is a timely matter. This requires recognizing the upcoming volume of retired electric-vehicle-batteries to the waste stream. The projection is further useful if we have an estimation of the remaining value within them to categorize the recycling or repurposing potential to allow appropriate policy development and facility planning. This qualification assessment is neglected in the current literature. This study aims to provide a hierarchical battery waste estimation based on their health and age of disposal in Ireland. These two factors are the fundamental parameters in determining the feasibility of repurposing or recycling retired batteries. Identifying this information, we defined three reuse scenarios with different state-of-health limits. Results indicate almost 50%, 30%, and below 10% repurposing potential in the year 2050 when setting a repurposing threshold of above 80%, 85%, and 90%, respectively. The authors also highlight the effect of non-regional repurposing on the recycling potential.

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End-of-Life Electric Vehicle Battery Stock Estimation in Ireland through Integrated Energy and Circular Economy Modelling

Cited by 38 publications

References 38 publications

Challenges and recent developments in supply and value chains of electric vehicle batteries: A sustainability perspective

Challenges and recent developments in supply and value chains of electric vehicle batteries: A sustainability perspective

Forecasting the Future Sustainability of Technology Choices: Qualitative Predictive Validity of Models as a Complement to Quantitative Uncertainty

Exploring the State of Health of Electric Vehicle Batteries at End of Use; Hierarchical Waste Flow Analysis to determine the Recycling and Reuse Potential

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