22.10.13 - Solar powered "North House" will be open for tours during ACADIA conference

Tours of North House — a project of Daniels' Associate Professor David Lieberman and Professors Geoffrey Thun and Kathy Velikov of the University of Michigan — will be offered at the the Association for Computer Aided Design in Architecture (ACADIA) conference October 25-27 in Cambridge, Ontario. Lieberman and his project partners will be on site to provide an overview and respond to questions.

The North House project was initiated through an interdisciplinary collaboration of faculty, researchers, and students from the University of Waterloo, Ryerson University, and Simon Fraser University, in concert with professional and industry partners. It provides a framework for adaptive detached residential buildings capable of net energy positive performance in the temperate climate zones. The house deploys mass customized building logics, responsive envelope systems, adaptive controls software, and user interface design.  

North House competed in the 2009 Solar Decathlon in Washington DC, and was later reconstructed under the direction of the firm David Lieberman Architect as a permanent laboratory for rare — a charitable foundation that administers a 900 acre conservation reserve along the Grand River in Cambridge. The house will serve as an ongoing facility for research into alternate energy generation and sustainable practice, and will act as a platform to test materials innovation, envelope technologies, controls systems and human interaction with these systems. rare is inviting collaborative proposals from industry and academic institutions to further these goals.  

Professors Thun and Velikov will be presenting a paper at the ACADIA conference entitled “Adaption as a Framework for Reconsidering High-Performance Residential Design: A Case Study,” which will discuss the technical systems of the project through the lens of adaption. Lieberman continues to develop the building and has initiated the installation of additional systems and controls to expand the possibilities of research into generative architectures.