Conference Agenda

Providing access to a view out is fundamental for ensuring healthy living conditions in indoor spaces; however, there are no procedures for capturing luminous variations of a view over time. The study introduces a dynamic method for quantifying such variables through HDR time-lapse photography and digital image-processing techniques. Two series with analogous contextual features portrayed three consistent luminous variability conditions. Local luminous variation suggests the highest potential to influence visual response. Finally, the paper discusses design implications and future refinements to the methodology.

Large scale daylight simulations and representations on one single analysis grid are currently impossible with the

use of conventional software and computers. Computational limitations that relate to the capacity of computer machines as well

as analysis restrictions that relate to the allowable grid node count imposed by daylight simulation software prohibit daylightcoefficient

based calculations on large scale analysis grids. The present paper utilizes a real aviation project and presents the

development of a workflow that provides the ability to perform very demanding processes in acceptable time. Radiance related

ray‐tracing processes and matrix multiplications occur on the cloud using High Performance Computing and custom scripts that

facilitate and accelerate the progression. The analysis grid count is decomposed into manageable fragments and after the

calculation is performed, the fragmented values are recomposed in one single list of results that are utilized for colouring the

analysis grid mesh. Processes are sped up by approximately 32 times. Customized tools can be adaptive and reused in other

applications with minimum modifications. The methodology can also be adopted for performing other annual climate‐based

simulations or for glare studies.

Spectral information is fundamental in understanding the human responses to light. In order to assess the impact of light on visual and non-image forming effects (NIF) in more complex surroundings, in addition to spatially and temporally resolved daylight measurement, spectrally resolved information is required. This paper focuses on the inclusion of spectral aspects of daylight to specify the potential when planning for NIF aspects in urban structures, to reduce energy consumption for electric lighting for this purpose. It introduces a novel model to describe spectral characteristics on facades in the built environment in function of prevailing daylight conditions (location, sun position, season and time of day) and the building orientation. These orientation-dependent spectral characteristics of daylight on façades are represented in spectral daylight potential diagrams (SDPD).

This study evaluates the daylight performance of the newly built workshop building at CEPT University, Ahmedabad, India using calibrated Radiance simulations with Lightstanza user interface. The building houses model making, wood, metal, ceramics & clay workshops. The methodology included field measurement of illuminance at the task plane, long term measurements, and surface material characteristics, calibrating the daylight model, and calculations of lighting energy savings. The calibrated model of the building has a RMSE (Root Mean Square Error) and an NMBE (Normalized Mean Bias Error) of less than 4%. The daylighting performance of building could achieve 4 points for LEED v4 with 93%sDA750/50% and 0.4%ASE1000/250hr. and meets ECBC (Energy Conservation Building Code) daylighting requirements. It achieves a DA750 of 46%, and the current manual switching response to daylight saves INR 86,424 per year. The Daylight Glare Probability (DGP) analysis showed that the spaces inside the workshop are likely to experience glare issues during the summer months, mostly between the time period 5-6 PM when direct sun penetrates in to the space.