School of Economics and Management, North China Electric Power University, Beijing, China; Beijing Key Laboratory of New Energy and Low-carbon Development, North China Electric Power University, Beijing, China.
J Environ Manage. 2024 Apr;357:120774. doi: 10.1016/j.jenvman.2024.120774. Epub 2024 Apr 3.
The booming electric vehicle market has led to an increasing number of end-of-life power batteries. In order to reduce environmental pollution and promote the realization of circular economy, how to fully and effectively recycle the end-of-life power batteries has become an urgent challenge to be solved today. The recycling & remanufacturing center is an extremely important and key facility in the recycling process of used batteries, which ensures that the recycled batteries can be handled in a standardized manner under the conditions of professional facilities. In reality, different adjustment options for existing recycling & remanufacturing centers have a huge impact on the planning of new sites. This paper proposes a mixed-integer linear programming model for the siting problem of battery recycling & remanufacturing centers considering site location-adjustment. The model allows for demolition, renewal, and new construction options in planning for recycling & remanufacturing centers. By adjusting existing sites, this paper provides an efficient allocation of resources under the condition of meeting the demand for recycling of used batteries. Next, under the new model proposed in this paper, the uncertainty of the quantity and capacity of recycled used batteries is considered. By establishing different capacity conditions of batteries under multiple scenarios, a robust model was developed to determine the number and location of recycling & remanufacturing centers, which promotes sustainable development, reduces environmental pollution and effectively copes with the risk of the future quantity of used batteries exceeding expectations. In the final results of the case analysis, our proposed model considering the existing sites adjustment reduces the cost by 3.14% compared to the traditional model, and the average site utilization rate is 15.38% higher than the traditional model. The results show that the model has an effective effect in reducing costs, allocating resources, and improving efficiency, which could provide important support for decision-making in the recycling of used power batteries.
蓬勃发展的电动汽车市场导致越来越多的废旧动力电池进入生命周期的末期。为了减少环境污染，促进循环经济的实现，如何充分有效地回收废旧动力电池已成为当今亟待解决的挑战。回收再制造中心是废旧电池回收过程中极其重要和关键的设施，它确保了在专业设施条件下，回收的电池能够得到标准化的处理。在现实中，现有回收再制造中心的不同调整方案对新站点的规划有巨大影响。本文提出了一种考虑站点位置调整的电池回收再制造中心选址问题的混合整数线性规划模型。该模型允许在规划回收再制造中心时进行拆除、更新和新建选项。通过调整现有站点，本文在满足废旧电池回收需求的条件下，提供了一种资源的高效配置方案。接下来，在本文提出的新模型下，考虑了回收废旧电池数量和容量的不确定性。通过在多个场景下建立不同容量条件的电池模型，建立了一个稳健模型来确定回收再制造中心的数量和位置，从而促进可持续发展，减少环境污染，并有效应对未来废旧电池数量超出预期的风险。在案例分析的最终结果中，与传统模型相比，考虑现有站点调整的模型成本降低了 3.14%，平均站点利用率比传统模型提高了 15.38%。结果表明，该模型在降低成本、资源配置和提高效率方面具有有效的效果，可为废旧动力电池回收的决策提供重要支持。
