Generative Facades
Every panel optimized for its exact position. 38% less cooling load.
A west-facing glass facade in Istanbul receives 1,420 kWh per square meter per year. That's enough energy to cook an office.
Traditional solutions make you choose. Fixed louvers block sun but kill the view. Tinted glass reduces glare but darkens the interior. You can have comfort or daylight, not both.
We tried something different. What if every panel was optimized for its exact position? South-facing panels are deep. North-facing panels are shallow. West-facing panels have aggressive angles. East-facing panels are gentler.
The result, in our full-year simulations: 38-45% reduction in cooling load while keeping daylight above 50%. That's a combination fixed shading cannot achieve. The numbers on this page come from those simulation runs; none of these facades has been built.
Position-Specific: Each panel responds to its unique solar exposure. The facade is a map of the sun's path.
Theoretical Framework
Solar Performance
38-45% heat gain reduction compared to clear glazing. Each panel does its exact job.
Daylight Balance
Maintaining 50%+ daylight autonomy even with aggressive shading. Comfort and light coexist.
Panel Rationalization
3,472 unique panels clustered into 14 fabrication families. Custom performance, manageable production.
Fabrication Logic
Clustering cuts estimated CNC toolpath time by roughly 60% versus the unclustered approach. Fabrication itself is the untested step.
Research Process
Map Solar Exposure
8,760-hour simulation in Radiance, cumulative kWh/m² per zone
Define Parameters
6 variables, 2.3M configurations in the design space
Evolve Solutions
50 generations in Wallacei, Pareto front yields 15-20 optimal options
Rationalize
Cluster 3,472 panels into 14 families for efficient CNC fabrication
Research Phases
Environmental Mapping
8,760 hours of solar simulation using Radiance. Cumulative radiation mapped per facade zone.
Design Space
6 parametric variables generating 2.3 million valid panel configurations. The space is vast.
Evolution
50 generations, 100 panels per generation. Wallacei breeds toward Pareto-optimal solutions.
Fabrication
Clustering algorithm groups similar panels. CNC toolpath generation for robotic fabrication.
Key Metrics
Key Thinkers
Mike Davies
In 1981, Davies imagined a wall that could filter heat, light, air, and view independently. We're finally building it, forty years later.
Klaus Daniels
Daniels wrote the book on climate-responsive facades. Our simulation methods extend his performance modeling.
Frei Otto
Otto minimized material through form. We minimize energy through geometry. Same philosophy, different medium.
Jan Knippers
Knippers leads biomimetic facade research. Our panel articulation draws from his work on adaptive structures.
Case Studies
Scenario: Office Tower, Ankara
Design scenario, not builtWest-facing curtain wall with optimized aluminum louvers. Our largest simulation scenario, run on the same massing as our Data-Driven Tower concept study. Modeled cooling reduction: 38%.
Scenario: Mediterranean Pavilion, Izmir
Design scenario, not builtETFE cushion concept with variable pneumatic fill. A testbed scenario for lightweight materials. Modeled heat reduction: 42%.
Scenario: Heritage Retrofit, Athens
Design scenario, not builtHeritage-sensitive secondary skin over an existing stone facade. The hardest constraint set we've modeled: performance without touching the historic exterior. Modeled cooling reduction: 45%.
Comparative Analysis
Fixed Louvers
One Angle Fits AllStatic aluminum blades at fixed angle. Works on one orientation, fails on others.
Kinetic Facades
Moving PartsPanels that track the sun. High performance, very high maintenance. Al-Bahar Towers style.
Parametric Panels
Smooth VariationGradual geometric change across the surface. Visually striking, not necessarily optimized.
Our Approach
Per-Panel OptimizationEach panel evolved for its specific conditions. Best performance-to-cost ratio in our simulation runs.
Optimization Results
Percentage reduction compared to clear glazing
Scenario model: values from our own simulation runs
Key Findings
Self-shading cuts cooling 38-45% in Mediterranean climates. All three of our simulation scenarios (Ankara, Izmir, Athens) agree.
38-45% in the modelOptimal panel depth varies from 120mm (north) to 480mm (west) on a single building. Uniform shading wastes material.
4× depth variationVoronoi perforation achieves 23% higher daylight uniformity than regular grids at the same openness ratio, in our comparison runs.
+23% uniformityTopology optimization of panel geometry reduces aluminum usage by 23% in the model without compromising computed strength.
23% material savedHonest Limitations
Variable angles collect dust unevenly. Maintenance is harder than uniform systems.
Glare risk. Some configurations redirect light into eyes rather than blocking it.
Cost premium. 12-18% higher fabrication cost versus standard curtain wall.
Winter penalty. Aggressive shading reduces beneficial solar gain in cold climates.
Everything here is simulation. No facade from this study has been fabricated at full scale, and simulated performance always loses something on site.
Conclusion
Every panel can be different and still be rationalized for fabrication. With per-position optimization, our simulations show 38-45% cooling reduction while maintaining daylight above 50%; a performance level fixed shading cannot reach. The method works in the model. Building a bay of it is the honest next test.
Limitations
- Maintenance complexity
- 12-18% cost premium
Future Directions
- Real-time solar tracking
- Self-cleaning surface research