METHODOLOGY FOR QUANTIFYING THE PERFORMANCE IMPLICATIONS OF INTELLIGENT SHADE CONTROL IN EXISTING BUILDINGS IN AN URBAN CONTEXT
William O'Brien, Konstantinos Kapsis, Andreas Athienitis, Ted Kesik
This paper presents a high-level overview of a methodology for analyzing window shade use in existing buildings and quantifying the predicted energy use and visual comfort due to occupants’ behavior. Time-lapse photography is paired with an image recognition algorithm to facilitate assessment of shade use. The resulting data is directly used in a building performance model to predict energy use and visual comfort under several shade control strategies. The methodology is applied to a commercial office building in downtown Montreal that has over 1200 independently operated shades and is partially shaded by neighboring buildings. INTRODUCTION
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