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A Review of Artificial Intelligence Applications in Architectural Design: Energy-Saving Renovations and Adaptive Building Envelopes

Author

Listed:
  • Yangluxi Li

    (Welsh School of Architecture, Cardiff University, Cardiff CF10 3XQ, UK)

  • Huishu Chen

    (School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China)

  • Peijun Yu

    (School of Materials Science and Engineering, Hainan University, Haikou 570228, China)

  • Li Yang

    (College of Architecture & Urban Planning, Tongji University, Shanghai 200092, China)

Abstract

This paper explores the applications and impacts of artificial intelligence (AI) in building envelopes and interior space design. The relevant literature was searched using databases such as Science Direct, Web of Science, Scopus, and CNKI, and 89 studies were selected for analysis based on the PRISMA protocol. This paper first analyzes the role of AI in transforming architectural design methods, particularly its different roles in the auxiliary, collaborative, and leading design processes. It then discusses AI’s applications in the energy-efficient renovation of building envelopes, smart façade design for cold climate buildings, and thermal imaging detection. Furthermore, this paper summarizes AI-based interior space environment design methods, covering the current state of research, applications, impacts, and challenges both domestically and internationally. Finally, this paper looks ahead to the broad prospects for AI technology in the architecture and interior design fields while addressing the challenges related to the integration of personalized design and environmental sustainability concepts.

Suggested Citation

  • Yangluxi Li & Huishu Chen & Peijun Yu & Li Yang, 2025. "A Review of Artificial Intelligence Applications in Architectural Design: Energy-Saving Renovations and Adaptive Building Envelopes," Energies, MDPI, vol. 18(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:4:p:918-:d:1591353
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    References listed on IDEAS

    as
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