3 research outputs found

    GlareShade: a visual comfort based approach to adaptive shading systems

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    Thesis (Master's)--University of Washington, 2014The thesis investigates design solutions for an adaptive shading system in high-rise office buildings. High density of occupants, variation in comfort levels corresponding with different activity types and individuals' preferences, diverse occupation schedules and maximized exposure to outside environment relative to construction footprint exemplify the complexities associated with daylight control strategies in high-rise office buildings. Precedent daylight control strategies fail to address the glare issue and relative complexities associated with variation of criteria for occupants' comfort. The thesis proposes a new method to evaluate glare issue relative to an individual's viewpoint and identifies the problematic region(s) on corresponding glazing surface(s) that can be addressed with an adaptive shading system

    Time-series Luminance Distribution Maps: implementation of annual daylight simulation methods for occupant visual comfort analysis

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    Thesis (Master's)--University of Washington, 2016-06This thesis investigates the existing annual climate-based daylight simulation methodologies for providing time-series luminance distribution data that can be utilized for occupant visual comfort analysis. The motivation is stemmed from an imminent change in lighting research and practice that incorporates more luminance based simulation and metrics, as opposed to the historical use of illuminance based studies. Luminance based metrics provide better understanding of human visual experience, and allows us to design and study occupant centric luminous environments. An implementation workflow for the most advanced annual climate-based daylight simulation methodologies (The Three-phase and Five-phase daylighting simulation methods) based on the existing literature is provided as an explanatory guideline for non-developer designers and daylight practitioners. The simulation workflow is demonstrated using an office space in downtown Seattle. Each methodology’s capability to simulate the real-world complexities associated with distribution of daylight in interior spaces is evaluated
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