This study addresses the impact of spectral daylight dynamics in an indoor space under overcast sky conditions. Present building codes overlook the spectral composition of daylight, focusing primarily on total light quantity rather than its spectral distribution and its effects on occupants. This case study documents the spectral daylight quality in a simple room by employing multidirectional measurements, and these are compared to simulations done in Lark Spectral Lighting software. The study demonstrates a reasonable agreement between the simulated and measured illuminance levels, with an average error of 11%. However, a wavelength comparison shows a lesser correlation with an average error of 32% for all wavelengths and 22% when measurements are grouped and averaged in 9-channels bins. This error might be partly caused by changes in sky intensity during measurements. The results emphasize the substantial influence of factors like positioning, and view direction. Navigating these complexities underscores the need for change in our approach to indoor daylight quality, indicating a need for a revision of traditional daylight metrics for a more occupant-centric design.

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Spectral Dynamics and Spatial Variations in Indoor Daylight Quality: A Case Study

  • Tobias Kristiansen,
  • Thomas Thiis,
  • Ingunn Burud,
  • Arnkell Jonas Petersen

摘要

This study addresses the impact of spectral daylight dynamics in an indoor space under overcast sky conditions. Present building codes overlook the spectral composition of daylight, focusing primarily on total light quantity rather than its spectral distribution and its effects on occupants. This case study documents the spectral daylight quality in a simple room by employing multidirectional measurements, and these are compared to simulations done in Lark Spectral Lighting software. The study demonstrates a reasonable agreement between the simulated and measured illuminance levels, with an average error of 11%. However, a wavelength comparison shows a lesser correlation with an average error of 32% for all wavelengths and 22% when measurements are grouped and averaged in 9-channels bins. This error might be partly caused by changes in sky intensity during measurements. The results emphasize the substantial influence of factors like positioning, and view direction. Navigating these complexities underscores the need for change in our approach to indoor daylight quality, indicating a need for a revision of traditional daylight metrics for a more occupant-centric design.