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采用集成质量功能展开方法处理电动汽车电池废弃物的政策与行动:以约旦为例

Policies and actions for electric vehicle battery waste processing using an integrated QFD approach: A case study for Jordan.

作者信息

Dababneh Fadwa, Aldababneh Hussam Zuhair, Khawaja Mohamad K, Imam Rana

机构信息

Industrial Engineering Department, German Jordanian University, Amman, 11180, Jordan.

Energy Engineering Department, German Jordanian University, Amman, 11180, Jordan.

出版信息

Heliyon. 2025 Jan 15;11(2):e41940. doi: 10.1016/j.heliyon.2025.e41940. eCollection 2025 Jan 30.

Abstract

Electric vehicles (EVs) are regarded as a key technology to fight climate change. However, with the increasing popularity of EVs, comes the challenge of handling spent EV batteries. Despite considerable research on end-of-life (EOL) methods, economics, and environmental benefits, many countries are facing challenges with the formulation of policies and proactive response actions needed for robust EOL infrastructure. There is a lack of research that employs comprehensive and systematic methods for identifying and prioritizing stakeholder needs, tradeoffs, and preferences. Accordingly, in this paper, a modified Quality Function Deployment approach is employed to prioritize actions, recommendations, and policies that address the handling of the spent batteries. The proposed method is applied on Jordan and a course of action and policies are proposed that will allow for the integration of adequate and appropriate EOL strategies. For Jordan, the most stringent needs revolve around the development of a collection center for EOL batteries and an incentive-based return process. Moreover, policy implications for the immediate, medium, and long-term horizons for Jordan were outlined.

摘要

电动汽车被视为应对气候变化的一项关键技术。然而,随着电动汽车越来越受欢迎,处理废旧电动汽车电池成为了一项挑战。尽管在报废(EOL)方法、经济性和环境效益方面进行了大量研究,但许多国家在制定强大的报废基础设施所需的政策和积极应对行动方面仍面临挑战。缺乏采用全面系统方法来识别利益相关者需求、权衡和偏好并确定其优先级的研究。因此,本文采用一种改进的质量功能展开方法来确定处理废旧电池的行动、建议和政策的优先级。所提出的方法应用于约旦,并提出了一系列行动和政策,以实现充分且适当的报废策略的整合。对于约旦而言,最紧迫的需求集中在建立一个报废电池收集中心以及基于激励的回收流程。此外,还概述了约旦近期、中期和长期的政策影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b53/11791234/639202b3d453/gr1.jpg

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