释放人工智能的力量：改变中国城市能源效率的游戏规则

IF 10.5 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-04-11 DOI:10.1016/j.scs.2025.106372

Weike Zhang , Hongxia Fan , Ming Zeng

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引用次数: 0

摘要

中国的能源消耗主要集中在城市地区，提高城市能源效率（UEE）是缓解能源压力和实现可持续能源实践的关键一步。然而，人工智能（AI）既是节能的推动者，也是大量能源的消耗者，它对 UEE 有何影响仍不确定。有鉴于此，我们利用 2006 年至 2019 年期间 282 个城市的数据，探讨了人工智能对中国 UEE 的影响。我们发现，人工智能有利于改善 UEE。具体而言，每百名工人多安装（储备）一个标准差的工业机器人，中国城市的能源效率就会提高 3.18%（3.30%）。即使经过一系列稳健性测试，这些结论仍然有效。此外，我们还发现，人工智能对UEE的积极影响在资源依赖型城市、东中部城市、秦岭-淮河一线的北方城市以及特大型和超大型城市尤为明显。此外，我们还证明了人工智能对UEE具有积极的空间溢出效应，即通过邻近城市人工智能系统的影响，可以提高本地城市的UEE。我们的研究结果不仅提高了人们对人工智能与 UEE 之间联系的认知，还为政府提高 UEE 和实现能源可持续发展提供了指导。

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Unleashing the power of artificial intelligence: A game changer for urban energy efficiency in China

Energy consumption in China is predominantly concentrated in urban areas, improving urban energy efficiency (UEE) is a crucial step towards mitigating energy pressure and achieving sustainable energy practices. However, it remains uncertain how artificial intelligence (AI) affects UEE, as it is both a promoter of energy conservation and a consumer of large amounts of energy. Given this context, we explore the effect of AI on UEE in China using data from 282 cities spanning 2006 to 2019. We find that AI benefits the improvement of UEE. Specifically, the installation (stock) of one additional standard deviation of industrial robots per hundred workers is associated with a 3.18 % (3.30 %) increase in energy efficiency in Chinese cities. These conclusions remain valid even when subjected to a suite of robustness tests. Furthermore, we reveal that the positive influence of AI on UEE is particularly pronounced in resource-dependent cities, eastern-central cities, northern cities of the Qinling Mountains-Huaihe River line, as well as mega-sized and super-sized cities. Additionally, we demonstrate that AI has a positive spatial spillover effect on UEE, that is, the UEE of local cities can be improved through the influence of neighboring cities' AI systems. Our findings not only improve the cognition of the link between AI and UEE but also guide government efforts to enhance UEE and achieve energy sustainability.

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

期刊介绍： Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including: 1. Smart cities and resilient environments; 2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management; 3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management); 4. Energy efficient, low/zero carbon, and green buildings/communities; 5. Climate change mitigation and adaptation in urban environments; 6. Green infrastructure and BMPs; 7. Environmental Footprint accounting and management; 8. Urban agriculture and forestry; 9. ICT, smart grid and intelligent infrastructure; 10. Urban design/planning, regulations, legislation, certification, economics, and policy; 11. Social aspects, impacts and resiliency of cities; 12. Behavior monitoring, analysis and change within urban communities; 13. Health monitoring and improvement; 14. Nexus issues related to sustainable cities and societies; 15. Smart city governance; 16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society; 17. Big data, machine learning, and artificial intelligence applications and case studies; 18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems. 19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management; 20. Waste reduction and recycling; 21. Wastewater collection, treatment and recycling; 22. Smart, clean and healthy transportation systems and infrastructure;