, Session Block A1
14:15 From Site Data and Digital Twins to Machine Learning: Façade Design in the Era of Artificial Intelligence
Contextual site data as the bridge between building and environment
- Spatial depth: Reading the site beyond the building edge
- Shared data eliminates assumption in planning
- BIM and AI make disciplinary data interdisciplinary
Data-driven design for early-stage embodied‑carbon assessment
- Granular data for embodied carbon insights
- Framework for early-stage carbon design
- Data mapping for design comparisons
Digital-twin based workflow for responsive BIPV façade optimization and performance visualization
- Parametric design of responsive BIPV façades
- Panel-level PV generation analysis
- Room-level electricity demand mapping
- Digital twin-based façade performance visualization
Machine learning framework for predicting hygrothermal performance of building envelopes
- Hygrothermal simulation
- Condensation risk assessment
- Performance evaluation
Manufacturing-led engineering of a curved terracotta unitized curtain wall for a global green landmark, Sydney
- Integrating fabrication logic and assembly constraints into the engineering process
- Digital modelling to align architectural intent with manufacturing and performance
- Collaboration between architects, façade engineers, delivery managers, manufacturers
AI enabled performative façade design
- AI enabled workflows for unitized systems
- Climatically responsive data-driven design
- Evolution of parametric systems with AI
AI-assisted framework for climate-responsive intelligent façade design
- AI framework for climate-responsive façades
- Integrating climate and façade variables
- Guidelines for intelligent façade systems
15:45 Coffee Break