Introduction and Concept
Our concept for Hyperbuilding B centers on creating a dynamic, responsive facade that enhances occupant well-being and environmental performance. Inspired by Japanese design philosophies, the facade integrates natural elements and modular flexibility to balance functionality and aesthetics. Driven by data analysis of solar radiation, wind stagnation, and internal program needs, the design optimizes ventilation, daylighting, and energy efficiency through strategic use of open and closed modules, PV-integrated panels, and double-skin systems. Developed in close collaboration with the internal program and structural design teams, the facade balances high performance with aesthetic harmony, resulting in a sustainable and health-focused living environment.
Figure 1: Concept
Figure 2: Conceptualisation
The design draws inspiration from iconic projects such as BIG’s CapitaSpring, Vilela Florez’s Bamboo House, Takao Shiotsuka Atelier’s SJ Building, and Akihisa Hirata’s Tree-ness House. These references informed our approach to modularity, natural integration, and materiality.
Figure 3: References
Collaboration
The facade was designed through close collaboration with the internal program and structural teams. This allowed for seamless integration of the facade system with the building’s overall structure and functional layout.
Figure 4: Collaboration
Figure 5: Inputs and Outputs
KPI Exploration and Context
Our performance targets included improving air quality, reducing overheating, and enhancing solar energy efficiency. We used CFD analysis to address wind stagnation and integrated BIPV panels to achieve high energy self-sufficiency.
Figure 6: KPIs
Figure 7: Solar Research
Figure 8: Wind Exploration
Figure 9: Design Strategies
Environmental Analysis
The facade was designed to maximize view quality, positioning balconies and open panels to align with the best available views. Bamboo-clad modules were placed strategically to create a seamless connection between interior and exterior spaces.
The facade responds to environmental conditions, adjusting based on wind speed and solar gain. Open bamboo modules enhance airflow in areas with low wind speeds, while PV-integrated panels are placed in sun-exposed areas for maximum energy generation.
Figure 10: View Quality
Figure 11: Data Analysis and Wind Stagnation Results
Figure 12: Data and Solar Analysis
Figure 12: Data Clustering for constructability
We applied k-means clustering to organize the facade panels based on environmental performance, ensuring optimal placement for ventilation, solar energy capture, and view quality.
Panel Subdivision
The facade was developed using an irregular mesh grid, adjusted for structural grid alignment and level height. A self-developed Python algorithm was used to efficiently sort points and generate the mesh, ensuring precise panel distribution and structural integrity. This approach allowed for flexibility in design while maintaining consistency and performance across the facade.
Figure 13: Panel Subdivision
Panel Types and Prototyping
Panels were tested and optimized based on view quality, solar radiation, and wind conditions. Closed units focused on PV efficiency, while open units and double-skin facades enhanced ventilation and connection to nature.
Figure 14: Panel Types
Figure 15: Panel application
Documentation
The facade system was carefully documented, detailing radiation levels, wind speed, material usage, panel efficiency, and energy output. This data-driven approach ensured that the facade met performance and sustainability goals.
Figure 16: Axonometric
Figure 17: Section Isometric
Figure 18: Site Plan
Figure 19: Parameterizing the Panels
Views
Figure 20: Rendering
