Window-to-Wall Ratio Optimization AI
AI optimization of window-to-wall ratios for energy and daylighting balance.
Definition
Window-to-Wall Ratio Optimization AI balances glazing area against energy performance and daylighting. It analyzes facade orientation, climate conditions, and occupant needs to recommend optimal window proportions that meet energy codes while providing adequate daylight and views.
In Depth
Window-to-wall ratio (WWR) is one of the most impactful energy design decisions because it directly affects heating, cooling, daylighting, and glare. AI optimizes the WWR for each facade orientation by balancing the competing objectives — more glass improves views and daylighting but increases energy consumption and glare risk. The optimization produces a facade-by-facade WWR recommendation that meets the energy code while maximizing the design intent.
Examples
Optimizing facade glazing
Balancing energy and daylight
Meeting energy code limits
Nomic Use Cases
See how Nomic applies this in production AEC workflows:
Frequently Asked Questions
Window-to-Wall Ratio Optimization AI balances glazing area against energy performance and daylighting. It analyzes facade orientation, climate conditions, and occupant needs to recommend optimal window proportions that meet energy codes while providing adequate daylight and views.
Optimizing facade glazing. Balancing energy and daylight. Meeting energy code limits.
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