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VOL. 11, ISSUE 1 (2025)
The future of digital architecture: Integrating artificial intelligence and machine learning to improve building performance and sustainability
Authors
Zainab Ismaeel Abdalkadum
Abstract
This paper explores the integration of Artificial Intelligence (AI) and
Machine Learning (ML) in digital architecture, focusing on how these
technologies can enhance building performance, sustainability, and user
satisfaction. It examines the role of AI in optimizing energy use, managing
dynamic facades, and creating adaptive building environments. The study reviews
case studies such as The Crystal in London and Bosco Verticale in Milan, highlighting
how real-time simulation and AI-driven feedback systems are utilized to improve
energy efficiency and environmental impact. The paper discusses the use of
genetic algorithms and smart algorithms in adaptive building systems,
emphasizing their ability to dynamically adjust building parameters based on
real-time data. The research design involves a mixed-methods approach, using VR
simulations and performance testing to evaluate the practical application of
these technologies. The goal is to provide a comprehensive understanding of how
AI and ML can be practically applied in architectural practice, the benefits
they offer in terms of sustainability, and the challenges architects face in
integrating these technologies. The paper concludes with recommendations for
architects, industry practitioners, and educators on how to effectively
integrate AI and ML into architectural workflows.
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Pages:9-13
How to cite this article:
Zainab Ismaeel Abdalkadum "The future of digital architecture: Integrating artificial intelligence and machine learning to improve building performance and sustainability". International Journal of Research in Advanced Engineering and Technology, Vol 11, Issue 1, 2025, Pages 9-13
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