How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?

Read full text
Authors: Pengyuan Shen, Xiaoni Gao, Shuai Lü, Yi Zhang, Xing Zheng, Matthaios Santamouris
Cited by: 2
References: 141

Abstract

Faced with climate change challenges, artificial intelligence (AI) is redefining the way of sustainable building design. In this work, how AI technologies, including foundation models and generative systems, are reshaping architectural practice in responding to climate change is discussed. We explored how large language models, multimodal systems, and automated design generation have evolved from traditional computational methods, and the transformative potential of these novel approaches, especially when dealing with climate change challenges. While AI holds powerful tools for sustainable architecture, we argue that the successful implementation of those tools requires careful integration of technical capabilities, practice frameworks, and regulatory considerations. To advance AI-driven sustainable building design while providing effective future climate response, research priorities and policy recommendations are put forward in this study.

Fields of Study & Subjects

Building Energy and Comfort Optimization Architecture and Computational Design Sustainable Building Design and Assessment

Publication details

Journal / source
Advanced Science
Publisher
Wiley
Volume
13
Issue
13
Pages
e23238–e23238
Publication date
31 January 2026
Language
EN