数据科学在循环经济中的应用:趋势,现状和未来
Bu Zhao1, Zongqi Yu2, Hongze Wang3
1School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan 48109, United States.
Environmental science & technology
|April 3, 2024
概括
数据科学 (DS) 通过优化资源使用,减少废物和材料循环,加速循环经济 (CE) 的过渡. 本综述综合了CE中的DS应用,突出了未来研究和开发的领域.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 工业生态学 工业生态学
背景情况:
- 循环经济 (CE) 模式旨在将经济增长与有限资源消费脱.
- 数据科学 (DS) 已经成为推进CE原则的关键推动者.
- 需要进行全面的审查,以巩固关于CE中的DS应用程序的知识.
研究的目的:
- 批判性地审查和综合数据科学在加速向循环经济转型中的作用.
- 确定DS为CE战略做出贡献的关键领域.
- 概述未来的研究方向和机会.
主要方法:
- 采用了批判性文献审查方法.
- 专注于四个主要领域:社会经济代谢,废物减少,产品生命周期延长和废物再利用/回收.
- 分析在这些CE领域应用的DS方法.
主要成果:
- DS通过提高材料效率和产品设计,减少废物产生来增强CE.
- 通过维修和维护优化,DS促进了产品寿命的延长.
- 在优化废物再利用,回收基础设施和了解社会经济代谢方面,DS方法至关重要.
结论:
- 数据科学在多个战略领域显著加速循环经济的转型.
- 目前在DS申请CE方面存在局限性和挑战.
- 为未来的研究提出了一个明确的路线图,以进一步将DS纳入CE框架.
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