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城市固体废物的源分离、运输、预处理及增值利用:综述

Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review.

作者信息

Zhang Xuemeng, Liu Chao, Chen Yuexi, Zheng Guanghong, Chen Yinguang

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092 People's Republic of China.

出版信息

Environ Dev Sustain. 2022;24(10):11471-11513. doi: 10.1007/s10668-021-01932-w. Epub 2021 Nov 10.

Abstract

Waste sorting is an effective means of enhancing resource or energy recovery from municipal solid waste (MSW). Waste sorting management system is not limited to source separation, but also involves at least three stages, i.e., collection and transportation (C&T), pretreatment, and resource utilization. This review focuses on the whole process of MSW management strategy based on the waste sorting perspective. Firstly, as the sources of MSW play an essential role in the means of subsequent valorization, the factors affecting the generation of MSW and its prediction methods are introduced. Secondly, a detailed comparison of approaches to source separation across countries is presented. Constructing a top-down management system and incentivizing or constraining residents' sorting behavior from the bottom up is believed to be a practical approach to promote source separation. Then, the current state of C&T techniques and its network optimization are reviewed, facilitated by artificial intelligence (AI) and the Internet of Things technologies. Furthermore, the advances in pretreatment strategies for enhanced sorting and resource recovery are introduced briefly. Finally, appropriate methods to valorize different MSW are proposed. It is worth noting that new technologies, such as AI, show high application potential in waste management. The sharing of (intermediate) products or energy of varying processing units will inject vitality into the waste management network and achieve sustainable development.

摘要

垃圾分类是提高城市固体废物(MSW)资源或能源回收的有效手段。垃圾分类管理系统不仅限于源头分类,还至少涉及三个阶段,即收集与运输(C&T)、预处理和资源利用。本综述基于垃圾分类视角关注城市固体废物管理策略的全过程。首先,由于城市固体废物的来源在后续增值方式中起着至关重要的作用,介绍了影响城市固体废物产生的因素及其预测方法。其次,对各国源头分类方法进行了详细比较。构建自上而下的管理系统并从下而上激励或约束居民的分类行为被认为是促进源头分类的一种切实可行的方法。然后,回顾了收集与运输技术的现状及其网络优化,人工智能(AI)和物联网技术推动了这一进程。此外,简要介绍了强化分类和资源回收预处理策略的进展。最后,提出了对不同城市固体废物进行增值处理的适当方法。值得注意的是,诸如人工智能等新技术在废物管理中显示出很高的应用潜力。不同处理单元的(中间)产品或能量共享将为废物管理网络注入活力并实现可持续发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99bd/8579419/b673347e34d6/10668_2021_1932_Fig1_HTML.jpg

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