IDEAS home Printed from https://ideas.repec.org/a/bla/inecol/v26y2022i5p1605-1615.html
   My bibliography  Save this article

A product–component framework for modeling stock dynamics and its application for electric vehicles and lithium‐ion batteries

Author

Listed:
  • Fernando Aguilar Lopez
  • Romain G. Billy
  • Daniel B. Müller

Abstract

Models that study the socio‐economic metabolism often apply a lifetime approach to capture the stock dynamics of products. The lifetime is usually obtained empirically from statistical information and is assumed to describe the dynamics of the product and its components. However, for new types of products for which historic outflow data is limited, or in cases where a critical component plays a significant role in determining product end‐of‐life, a more refined understanding of the dynamics of product–component systems is needed. Here, we provide a new framework for product–component systems and 12 different approaches to model their stock dynamics. Then, we discuss which approaches are best suited in different contexts. We illustrate the use of the framework with a case study on electric vehicles and their batteries, highlighting the potential of battery replacement and reuse for reducing material demand. Improving the understanding of these complex systems is relevant for the study of the socio‐economic metabolism because (i) accounting for component dynamics can support identifying unintended consequences of product‐specific policies; (ii) component replacement and reuse can be a key circular economy strategy to foster efficient resource use; and (iii) accounting for these complex dynamics can lead to more accurate estimates for resource demand and waste‐generation expectations, creating more resilient information streams. This article met the requirements for a Gold‐Gold JIE data openness badge described at https://jie.click/badges.

Suggested Citation

  • Fernando Aguilar Lopez & Romain G. Billy & Daniel B. Müller, 2022. "A product–component framework for modeling stock dynamics and its application for electric vehicles and lithium‐ion batteries," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1605-1615, October.
  • Handle: RePEc:bla:inecol:v:26:y:2022:i:5:p:1605-1615
    DOI: 10.1111/jiec.13316
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jiec.13316
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jiec.13316?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Rebecca Thorne & Fernando Aguilar Lopez & Erik Figenbaum & Lasse Fridstrøm & Daniel Beat Müller, 2021. "Estimating stocks and flows of electric passenger vehicle batteries in the Norwegian fleet from 2011 to 2030," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1529-1542, December.
    2. Nađa Džubur & David Laner, 2018. "Evaluation of Modeling Approaches to Determine End‐of‐Life Flows Associated with Buildings: A Viennese Case Study on Wood and Contaminants," Journal of Industrial Ecology, Yale University, vol. 22(5), pages 1156-1169, October.
    3. Stefan Pauliuk & Niko Heeren & Mohammad Mahadi Hasan & Daniel B. Müller, 2019. "A general data model for socioeconomic metabolism and its implementation in an industrial ecology data commons prototype," Journal of Industrial Ecology, Yale University, vol. 23(5), pages 1016-1027, October.
    4. Daniel B. Müller & Hans‐Peter Bader & Peter Baccini, 2004. "Long‐term Coordination of Timber Production and Consumption Using a Dynamic Material and Energy Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 8(3), pages 65-88, July.
    5. Pangburn, Michael S. & Stavrulaki, Euthemia, 2014. "Take back costs and product durability," European Journal of Operational Research, Elsevier, vol. 238(1), pages 175-184.
    6. Dirk Lauinger & Romain G. Billy & Felipe Vásquez & Daniel B. Müller, 2021. "A general framework for stock dynamics of populations and built and natural environments," Journal of Industrial Ecology, Yale University, vol. 25(5), pages 1136-1146, October.
    7. Vikström, Hanna & Davidsson, Simon & Höök, Mikael, 2013. "Lithium availability and future production outlooks," Applied Energy, Elsevier, vol. 110(C), pages 252-266.
    8. Cyrille F. Dunant & Trishla Shah & Michał P. Drewniok & Matteo Craglia & Jonathan M. Cullen, 2021. "A new method to estimate the lifetime of long‐life product categories," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 321-332, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fernando Aguilar Lopez & Dirk Lauinger & François Vuille & Daniel B. Müller, 2024. "On the potential of vehicle-to-grid and second-life batteries to provide energy and material security," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Chris Kennedy & Richard Wood, 2023. "Winners of the 2022 Graedel Prizes: The Journal of Industrial Ecology Best Paper Prizes," Journal of Industrial Ecology, Yale University, vol. 27(6), pages 1426-1428, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Jiajia & Yue, Xiyan & Wang, Peifen & Yu, Tao & Du, Xiao & Hao, Xiaogang & Abudula, Abuliti & Guan, Guoqing, 2022. "Electrochemical technologies for lithium recovery from liquid resources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    2. Guido Busca, 2024. "Critical Aspects of Energetic Transition Technologies and the Roles of Materials Chemistry and Engineering," Energies, MDPI, vol. 17(14), pages 1-32, July.
    3. Hache, Emmanuel & Seck, Gondia Sokhna & Simoen, Marine & Bonnet, Clément & Carcanague, Samuel, 2019. "Critical raw materials and transportation sector electrification: A detailed bottom-up analysis in world transport," Applied Energy, Elsevier, vol. 240(C), pages 6-25.
    4. Xu, Jun & Liu, Binghe & Wang, Xinyi & Hu, Dayong, 2016. "Computational model of 18650 lithium-ion battery with coupled strain rate and SOC dependencies," Applied Energy, Elsevier, vol. 172(C), pages 180-189.
    5. Steeneck, Daniel W. & Sarin, Subhash C., 2018. "Product design for leased products under remanufacturing," International Journal of Production Economics, Elsevier, vol. 202(C), pages 132-144.
    6. Mathieu, Valentin & Roda, Jean-Marc, 2023. "A meta-analysis on wood trade flow modeling concepts," Forest Policy and Economics, Elsevier, vol. 149(C).
    7. Tang, Yanyan & Zhang, Qi & Li, Yaoming & Li, Hailong & Pan, Xunzhang & Mclellan, Benjamin, 2019. "The social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanism," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    8. Fernando Moreno-Brieva & Carlos Merino, 2020. "African international trade in the global value chain of lithium batteries," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(6), pages 1031-1052, August.
    9. Simon, Bálint & Ziemann, Saskia & Weil, Marcel, 2015. "Potential metal requirement of active materials in lithium-ion battery cells of electric vehicles and its impact on reserves: Focus on Europe," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 300-310.
    10. Badr Eddine Lebrouhi & Eric Schall & Bilal Lamrani & Yassine Chaibi & Tarik Kousksou, 2022. "Energy Transition in France," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    11. Pedram Asef & Marzia Milan & Andrew Lapthorn & Sanjeevikumar Padmanaban, 2021. "Future Trends and Aging Analysis of Battery Energy Storage Systems for Electric Vehicles," Sustainability, MDPI, vol. 13(24), pages 1-28, December.
    12. Lin, Shunda & Liu, Renlong & Guo, Shenghui, 2022. "High temperature microwave dielectric and thermochemical properties of waste LixMn2O4 battery cathode materials reduced by moso bamboo," Renewable Energy, Elsevier, vol. 181(C), pages 714-724.
    13. Ashraf Mishrif & Asharul Khan, 2023. "Clean Energy Transition through the Sustainable Exploration and Use of Lithium in Oman: Potential and Challenges," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    14. Gil-Alana, Luis A. & Monge, Manuel, 2019. "Lithium: Production and estimated consumption. Evidence of persistence," Resources Policy, Elsevier, vol. 60(C), pages 198-202.
    15. Furszyfer Del Rio, Dylan D. & Sovacool, Benjamin K. & Foley, Aoife M. & Griffiths, Steve & Bazilian, Morgan & Kim, Jinsoo & Rooney, David, 2022. "Decarbonizing the ceramics industry: A systematic and critical review of policy options, developments and sociotechnical systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    16. Seiya Maki & Satoshi Ohnishi & Minoru Fujii & Naohiro Goto & Lu Sun, 2022. "Using waste to supply steam for industry transition: Selection of target industries through economic evaluation and statistical analysis," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1475-1486, August.
    17. Fadhila Achmadi Rosyid & Tsuyoshi Adachi, 2016. "Coal mining in Indonesia: forecasting by the growth curve method," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 29(2), pages 71-85, December.
    18. Sileryte, Rusne & Sabbe, Arnout & Bouzas, Vasileios & Meister, Kozmo & Wandl, Alexander & van Timmeren, Arjan, 2022. "European Waste Statistics data for a Circular Economy Monitor: opportunities and limitations from the Amsterdam Metropolitan Region," OSF Preprints da6f2, Center for Open Science.
    19. Tokimatsu, Koji & Höök, Mikael & McLellan, Benjamin & Wachtmeister, Henrik & Murakami, Shinsuke & Yasuoka, Rieko & Nishio, Masahiro, 2018. "Energy modeling approach to the global energy-mineral nexus: Exploring metal requirements and the well-below 2 °C target with 100 percent renewable energy," Applied Energy, Elsevier, vol. 225(C), pages 1158-1175.
    20. B. Muller, Daniel, 2006. "Stock dynamics for forecasting material flows--Case study for housing in The Netherlands," Ecological Economics, Elsevier, vol. 59(1), pages 142-156, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:inecol:v:26:y:2022:i:5:p:1605-1615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1088-1980 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.