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Digital Twins for Circular Cities: Planning for Positive Energy Districts

Arash Rezazadeh et al.

California Management Review2026https://doi.org/10.1177/00081256251408430article
AJG 3ABDC A
Weight
0.50

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.

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https://doi.org/https://doi.org/10.1177/00081256251408430

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@article{arash2026,
  title        = {{Digital Twins for Circular Cities: Planning for Positive Energy Districts}},
  author       = {Arash Rezazadeh et al.},
  journal      = {California Management Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/00081256251408430},
}

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Digital Twins for Circular Cities: Planning for Positive Energy Districts

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.