Energy-efficient Façade Design of Residential Buildings – An Innovative BIM-based Generative Design Approach
Access Status
Open access
Date
2024Supervisor
Xiangyu Wang
Yongze Song
Type
Thesis
Award
PhD
Metadata
Show full item recordFaculty
Humanities
School
Department of Construction Management
Collection
Abstract
The research develops and validates an innovative AI-aided approach integrating generative design (GD) with building information modelling (BIM) to generate integral and compliant energy-efficient residential façade designs automatically and efficiently. Guided by Pragmatism and structured by Design Research Methodology (DRM), the study addresses four objectives across four publications. The research advances AI-aided, energy-efficient building design, and the GD-BIM approach enhances design efficiency, supporting sustainable practices in architecture.
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