Journal of Engineering Research
DOI
https://doi.org/10.70259/engJER.2025.932026
Abstract
- In light of the growing need for more sustainable buildings, this research explores the role of artificial intelligence in improving the efficiency of green residential buildings, through a case study of the Faculty Housing building at the American University in Cairo. Three advanced AI platforms (GPT AI, mnml.ai, DeepSeeK AI) were utilized to develop an alternative design that enhances energy efficiency, incorporates water recycling technologies, improves indoor air quality, and uses environmentally friendly materials—all while preserving the building’s architectural character. The research methodology involved comparing the existing LEED-certified design with AI-enhanced alternatives. Results revealed that these platforms provide effective tools that significantly reduce environmental impact and support a comprehensive approach to architectural sustainability.
Recommended Citation
Ali, Dalia Altramsy
(2025)
"Assessing the impact of artificial intelligence platforms on improving the efficiency of green buildings,"
Journal of Engineering Research: Vol. 9:
Iss.
3, Article 23.
DOI: https://doi.org/10.70259/engJER.2025.932026
Available at:
https://digitalcommons.aaru.edu.jo/erjeng/vol9/iss3/23