Visual Comfort Analysis of Innovative Interior and Exterior Shading Systems for Commercial Buildings using High Resolution Luminance Images

Abstract

The objective of this study was to explore how calibrated high dynamic range (HDR) images (luminance maps) acquired in real world daylit environments can be used to characterize, evaluate, and compare visual comfort conditions of innovative facade shading and light-redirecting systems. Detailed (1536 ϫ 1536 pixel) luminance maps were time-lapse acquired from two view positions in an unoccupied full scale testbed facility. These maps were analyzed using existing visual comfort metrics to quantify how innovative interior and exterior shading systems compare to conventional systems under real sun and sky conditions over a solstice-to-solstice test interval. The results provide a case study in the challenges and potential of methods of visualizing, evaluating and summarizing daily and seasonal variation of visual comfort conditions computed from large sets of image data.

The use of lighting simulation in the evidence-based design process: A case study approach using visual comfort analysis in offices

“…They argued that luminancebased metrics were more capable than illuminance-based metrics in predicting a user's visual preference. Luminance maps indicated that more detailed spatial analysis was needed when assessing the visual comfort performance of innovative facade systems (Konis et al 2011). One study (Chatzikonstantinou and Sariyildiz 2016) experimented with using machine learning techniques on data from simulation results of visual comfort analysis of office spaces.…”

An Assessment of High Dynamic Range Luminance Measurements with LED Lighting

“…In (Konis et al 2011) One of the possible applications of the HDRI technique for analysis is represented in (Van et al 2010). Authors study preference of occupants in a daylit office environment and the acceptance of luminance patterns using the HDR imaging.…”

“…HDRI technique is already widely used in lighting research. There are studies on assessing HDRI"s accuracy for various lighting applications (Inanici 2006;Moeck et al 2006;Moeck 2007;Inanici 2010;Konis et al 2011;Cai et al 2011). The HDRI tool still has to be evaluated for accuracy and reliability in the lighting field to gain more statistical data and to expand HDRI"s abilities.…”

A Parametric Method for Remapping and Calibrating Fisheye Images for Glare Analysis

“…Specifically, in visual comfort studies it can provide luminosity ranges within a field of view (FOV) that would not be normally possible with other types of photometric instruments (i.e., Luminance meters). To date, many post-occupancy studies in visual comfort research have adopted this approach to assess the subjective experiences of discomfort glare in buildings [4][5][6][7][8]. This is because a camera with fisheye lens can capture Low Dynamic Range (LDR) images to generate HDR images with a field of view similar to a human's field of view (FOV).…”