Forecasting the sustainable classified recycling of used lithium batteries by gray Graphical Evaluation and Review Technique

Jing Zeng and Sifeng Liu

Renewable Energy, 2023, vol. 202, issue C, 602-612

Abstract: The recycling of used lithium batteries not only protects the environment but also alleviates the resource constraints. In this work, enterprises for cascade utilization of lithium batteries are categorized as remanufacturers, energy storage centers, and valuable metal recycling centers. The waste generated during the recycling process is disposed of by waste treatment stations. Based on the recycling process, a gray Graphical Evaluation and Review Technique(GERT) model is proposed to predict the time, probability, and economic benefits of lithium battery recycling. Due to the introduction of gray parameters, the solution results inevitably produce grayness. In the case that the grayness cannot be calculated directly, a calculation method is proposed to determine the interval of gray parameter based on the practical situation. The solution results of the gray GERT network are uncertain and should be made to better match the needs of practical applications. Gray GERT model solves the uncertainty and randomness of recycling process, which can adjust the parameters according to the differences of recycling technology and the change of economic environment to enhance the adaptability of the model. This work provides a reference value for the recycling system construction and cascade utilization of battery.

Keywords: Gray GERT; Lithium batteries; Sustainable recycling; Forecast (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:202:y:2023:i:c:p:602-612

DOI: 10.1016/j.renene.2022.11.018

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