Comparing visual comfort metrics for fourteen spaces using simulation-based luminance mapping.

摘要

As annual daylight simulation methods become more prominent in the building design industry there exists a stronger need and a clearer path for daylight simulation programs to calculate annual visual comfort metrics. A single metric for predicting visual comfort for an entire space and for an entire year could be incredibly useful if one could be created. Though nascent and very time-intensive, capabilities for calculating annual glare probabilities for whole spaces currently exist. However, unlike daylight sufficiency metrics, there seems to be no clear, undisputed industry consensus when it comes to visual comfort metrics in daylight conditions, making annual glare capabilities slightly preemptive. Accordingly, this work aims to highlight some of the strengths and weaknesses of some of the leading visual comfort metrics (DGP, DGI, UGR, VCP and CGI) under annualized processes. Ultimately, this work outlines a luminance-based simulation process for predicting annual visual comfort and correlates these results with an existing dataset of field administered occupant surveys. The two metrics developed for this work, DGPmax and DGPave, are shown to have the high potential for metric candidacy.