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

Abstract

This 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.