Dino Rossi is a designer and fabricator originally from Northern California.
He is at the moment the lead researcher in the Adaptive Systems Lab within the Chair of Architecture and Sustainable Building Technologies (SuAT) at the Swiss Federal Institute of Technology (ETH) in Zürich. Dino holds degrees in Environmental Studies from the University of California at Santa Cruz, Environment & Energy from the Architectural Association in London, and Computer Aided Architectural Design from the ETH Zurich.
Drawing upon all three fields of study his work intimately integrates ecology, technology and architectural design. His current research involves the development of an ultra-lightweight adaptive solar shading system that integrates thin film photovoltaics, pneumatically actuated soft robotic elements and machine learning algorithms.
Talk: It moves, but why? Justifying adaptive architectural systems.
In theory adaptive architectural systems offer sustainable solutions. That being said, adaptive architectural designs are rarely justified numerically. An automated shading system can reduce thermal loads, but are the assumptions that define its behavior allowing it to perform ideally? Beyond numerical optimization, fuzzy factors such as occupant preference may mean “ideal” performance is not reducible to minimum energy consumption. An automated lighting system can reduce energy consumption, but is it pissing off occupants? This talk will present how the work being carried out in the Adaptive Systems Lab (ASL) attempts to negotiate these issues. Being situated within Chair of Architecture and Sustainable Building Technologies (SuAT) our projects inherently deal with energy issues but aim to integrate energy performance with occupant desires. Ranging from actuator development to the implementation of machine learning algorithms at the building scale, our research focuses on both the development and the justification of adaptive systems in architecture.