A review of artificial intelligence applications in architectural design: Energy-saving renovations and adaptive building envelopes

Li, Yangluxi, Chen, Huishu, Yu, Peijun and Yang, Li 2025. A review of artificial intelligence applications in architectural design: Energy-saving renovations and adaptive building envelopes. Energies 18 (4) , 918. 10.3390/en18040918

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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.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Schools > Architecture
Additional Information:	License information from Publisher: LICENSE 1: URL: https://creativecommons.org/licenses/by/4.0/, Start Date: 2025-02-14
Publisher:	MDPI
Date of First Compliant Deposit:	25 February 2025
Date of Acceptance:	5 February 2025
Last Modified:	25 Feb 2025 11:45
URI:	https://orca.cardiff.ac.uk/id/eprint/176464

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