IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/6783190.html
   My bibliography  Save this article

Data-Driven Recovery Potential Analysis and Modeling for Batteries Recovery Operations in Electric Bicycle Industry

Author

Listed:
  • Ping Zhang
  • Guangfu Liu

Abstract

To help the government manage waste lead-acid batteries in a more targeted and sustainable way, accurately forecasting the number of waste lead-acid batteries and analyzing their recovery potential play a key role. In China, electric bicycles are one of the most common means of transportation. As of the end of 2017, the social holding quantity of electric bicycles in China was over 250 million and that of electric tricycles was over 50 million. The quantity is equal to the total number of electric bicycles manufactured between 2011 and 2017. Currently, 90% of electric bicycles adopt lead-acid batteries as their power batteries. However, there are a few studies on the lead-acid batteries used in electric bicycles as power batteries. In this paper, we have selected lead-acid batteries used in electric bicycles as the subject of research as such kind of batteries enjoys the widest user base, the most single-battery consumption volume, and the strongest mobility. Based on the output and sales of electric bicycles, we have obtained the quantity of power lead-acid batteries. We have then estimated the annual waste quantity of lead-acid batteries used in electric bicycles in 2000-2022 using the “market supply A model” and the “Stanford Model”, respectively, and based on the proportion of raw materials contained in lead-acid batteries and the proportion between reclaimed and discarded lead-acid batteries, we have estimated the recovery potential of discarded lead-acid batteries in 2000-2022. We estimate that the lead-acid batteries used in electric bicycles only have great recovery potential and there are abundant potential resources for recovery. The research data and results can help decision-makers make more effective and more accurate management measures and policies.

Suggested Citation

  • Ping Zhang & Guangfu Liu, 2018. "Data-Driven Recovery Potential Analysis and Modeling for Batteries Recovery Operations in Electric Bicycle Industry," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-18, November.
  • Handle: RePEc:hin:jnddns:6783190
    DOI: 10.1155/2018/6783190
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2018/6783190.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/DDNS/2018/6783190.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2018/6783190?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
    ---><---

    Citations

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


    Cited by:

    1. Wang, Zhan-ao & Samuel, Ribeiro-Navarrete & Chen, Xiao-qian & Xu, Bing & Huang, Wei-lun, 2023. "Central bank digital currencies: Consumer data-driven sustainable operation management policy," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Dai, Xulong & Batool, Kiran, 2024. "Optimizing multi-objective design, planning, and operation for sustainable energy sharing districts considering electrochemical battery longevity," Renewable Energy, Elsevier, vol. 229(C).

    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:hin:jnddns:6783190. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.