城市代谢、可持续性与城市能源转型综述

IF 7.9 Q1 ENGINEERING, MULTIDISCIPLINARY Results in Engineering Pub Date : 2025-03-01 Epub Date: 2025-02-15 DOI:10.1016/j.rineng.2025.104278
Lucía Galán-Cano , Juan Cámara-Aceituno , Manuel Jesús Hermoso-Orzáez , Ángel Mena-Nieto , Julio Terrados-Cepeda
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引用次数: 0

摘要

本文对城市代谢(UM)的概念进行了全面的文献综述,特别关注从线性模型到圆形模型的过渡。在气候变化、城市化进程加快和资源枯竭的背景下,城市在环境可持续性方面发挥着至关重要的作用。对科学文献的文献计量学分析表明,人们对循环UM作为一种管理城市环境中能源和物质流动的综合方法越来越感兴趣。本文旨在通过回顾城市新陈代谢概念的演变、其关键组成部分以及成功实施循环战略的城市的相关案例研究,进一步探讨从线性模式到循环模式的转变。通过确定城市在城市新陈代谢中采用循环实践所面临的障碍和挑战,本文提出了克服这些障碍的建议。此外,它还研究了循环UM与可持续发展目标(sdg)之间的相互关系,特别是在可持续城市规划和能源转型方面。然而,重要的挑战仍然存在,例如缺乏标准化和可获取的数据,这阻碍了对城市及其演变进行比较。最后,提出了未来的研究方向,重点关注人工智能和神经网络等新技术的整合,以及能够切实衡量其对气候变化影响的循环城市模型的发展。这篇综述全面概述了UM目前的艺术状态,同时丰富了该领域新兴趋势的现有知识体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Urban metabolism, sustainability and energy transition in cities: A comprehensive review
This research article conducts a comprehensive literature review on the concept of urban metabolism (UM), with a special focus on the transition from a linear to a circular model. In the context of climate change, increasing urbanisation, and resource depletion, cities are recognised as playing a crucial role in environmental sustainability. A bibliometric analysis of scientific literature shows an increasing interest in circular UM as a comprehensive approach to managing energy and material flows in urban settings. This article aims to further explore the transition from a linear to a circular model by reviewing the evolution of the urban metabolism concept, its key components, and relevant case studies from cities that have successfully implemented circular strategies. By identifying barriers and challenges cities face in adopting circular practices within their urban metabolism, the article proposes recommendations to overcome these obstacles. Furthermore, it examines the interrelationships between circular UM and the Sustainable Development Goals (SDGs), particularly in terms of sustainable urban planning and energy transition. However, important challenges remain, such as the lack of standardised and accessible data that hinder comparisons between cities and their evolution. Finally, future lines of research are proposed that focus on the integration of new technologies, such as artificial intelligence and neural networks, as well as the development of circular urban models that can tangibly measure their impact on climate change. This review provides a comprehensive overview of the current state of the art of UM while enriching the existing body of knowledge on emerging trends in this field.
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来源期刊
Results in Engineering
Results in Engineering Engineering-Engineering (all)
CiteScore
5.80
自引率
34.00%
发文量
441
审稿时长
47 days
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