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How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?
Pengyuan Shen1, Xiaoni Gao1, Shuai Lu1
1Institute of Future Human Habitats, Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|January 31, 2026
Summary
Artificial intelligence (AI) is transforming sustainable building design to address climate change. Integrating AI tools with technical, practical, and regulatory frameworks is crucial for effective climate-resilient architecture.
Area of Science:
- Architecture and Climate Change
- Artificial Intelligence in Design
- Sustainable Building Practices
Background:
- Climate change presents significant challenges to traditional building design.
- Artificial intelligence (AI) offers novel solutions for sustainable architecture.
- Existing computational methods are evolving with advanced AI technologies.
Purpose of the Study:
- To discuss how AI technologies are reshaping architectural practice for climate change.
- To explore the evolution and potential of AI in sustainable building design.
- To propose research priorities and policy recommendations for AI-driven climate response in architecture.
Main Methods:
- Exploration of AI technologies: foundation models and generative systems.
- Analysis of large language models, multimodal systems, and automated design generation.
- Review of AI's evolution from traditional computational methods.
Main Results:
- AI technologies, including foundation and generative models, are redefining sustainable building design.
- Novel AI approaches demonstrate transformative potential in addressing climate change challenges.
- Successful AI implementation requires integrating technical capabilities, practice frameworks, and regulatory considerations.
Conclusions:
- AI provides powerful tools for advancing sustainable architecture and climate change response.
- Careful integration of AI is essential for effective implementation in architectural practice.
- Further research and policy development are needed to optimize AI-driven sustainable design for future climate resilience.
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