Premium
Data Buildings: Sensor Feedback in Sustainable Design Workflows
Author(s) -
Peters Terri
Publication year - 2018
Publication title -
architectural design
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.128
H-Index - 22
eISSN - 1554-2769
pISSN - 0003-8504
DOI - 10.1002/ad.2263
Subject(s) - occupancy , post occupancy evaluation , daylight , architectural engineering , variety (cybernetics) , workflow , building design , computer science , building science , sustainable design , data science , engineering , sustainability , database , artificial intelligence , ecology , physics , optics , biology
While ever more architects use digital simulations of energy and daylight to inform their designs, relatively few carry out post‐occupancy evaluations of their buildings. This, according to University of Toronto post‐doctoral researcher Terri Peters , is a missed opportunity. Presenting recent built examples of a variety of building types by three leading practices in the US and Denmark, she sets out how sensor‐derived feedback can not only assist future design decisions in terms of building performance, operating systems and use patterns, but also encourage more sustainable behaviour among building users.