循环城市的数字孪生:为正能源区规划

Digital Twins for Circular Cities: Planning for Positive Energy Districts

CALIFORNIA MANAGEMENT REVIEW · 2026
被引 0 · 同刊同年前 10%
人大 A-ABS 3

中文导读

研究数字孪生和生成式AI如何支持正能源区(PED)发展,基于欧盟项目案例提出框架,为将PED融入9R循环经济策略提供决策支持。

Abstract

Positive energy districts (PEDs) address the energy issues of unsustainable urban development by producing more renewable energy than they consume. However, the transformation of PEDs face challenges that require the application of new technologies. This article focuses on the role of digital twins and generative AI to explore how these technologies can support the development of PEDs in line with circular economic principles. Based on a case study of an EU Horizon R&D project, this article develops a framework for implementing generative AI-assisted digital twins for PEDs and provides decision support for their integration into 9R circular economic strategies.

城市可持续发展数字孪生可再生能源循环经济人工智能