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

Yangluxi Li, Huishu Chen, Peijun Yu () and Li Yang ()
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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

Energies, 2025, vol. 18, issue 4, 1-24

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.

Keywords: artificial intelligence; architectural design; energy-saving renovations; building envelopes; adaptive architecture; sustainable building design (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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