Parametric Simulation of Artificial Light Effects on Vertical Illuminance for Circadian Stimulus in Open-Plan Office
DOI:
https://doi.org/10.23917/sinektika.v23i2.16945Keywords:
Circadian Lighting, Human-Centric Lighting, Interior Reflectance, Office Lighting Simulation, Vertical IlluminanceAbstract
Lighting contributes not only to visual performance but also to the regulation of human circadian rhythms. One of the key parameters in evaluating circadian-effective lighting is vertical illuminance at eye level, which represents the amount of light reaching the human eye. Based on circadian lighting principles, appropriate levels of vertical illuminance are required to support alertness and biological rhythm alignment during daytime. This study investigates the effects of interior surface reflectance and correlated color temperature (CCT) on vertical illuminance in an open-plan office environment. A parametric simulation was conducted using DIALux evo, based on a fixed layout of office space and luminaires. Two CCT conditions representing daytime lighting were applied: 6500 K (08:00–12:00) and 5000 K (12:00–16:00). Interior surface reflectance values for ceiling, walls, and floor were systematically varied to evaluate their impact. The simulation excludes daylight contribution to isolate the effects of artificial lighting parameters. The results show that the average vertical illuminance ranges from 381 lux to 571 lux across all scenarios. High-reflectance scenarios produce illuminance levels exceeding 500 lux, indicating strong circadian stimulation but potential overlighting conditions. In contrast, low-reflectance scenarios fall within the recommended range of 250–500 lux, providing more balanced circadian-effective lighting. These findings indicate that interior surface reflectance has a significant influence on vertical illuminance, while the effect of CCT is not significant under the studied conditions. Therefore, reflectance can be considered a critical design parameter in achieving circadian-supportive lighting environments in office spaces.
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References
Appel-Meulenbroek, R., Steps, S., Wenmaekers, R., & Arentze, T. (2021). Lighting preferences and lighting needs of office workers: A field study. Building and Environment, 188, 107479.
Boyce, P. R. (2014). Human Factors in Lighting (3rd ed.). CRC Press.
Brown, T. M., Brainard, G. C., Cajochen, C., Czeisler, C. A., Hanifin, J. P., Lockley, S. W., et al. (2022). Recommendations for daytime, evening, and nighttime indoor light exposure to support human circadian physiology. The Lancet Healthy Longevity, 3(7), e503–e515.
CIE. (2018). CIE S 026/E:2018: System for Metrology of Optical Radiation for ipRGC-Influenced Responses to Light. Vienna: International Commission on Illumination.
CIE. (2020). Position Statement on Integrative Lighting: Recommending Proper Light at the Proper Time. Vienna: International Commission on Illumination.
CIBSE. (2015). Lighting Guide 7: Office Lighting. Chartered Institution of Building Services Engineers.
EN 12464-1. (2021). Light and Lighting—Lighting of Work Places—Part 1: Indoor Work Places. European Committee for Standardization.
Figueiro, M. G., & Rea, M. S. (2021). Office lighting and personal light exposures in two seasons: Impact on sleep and mood. Lighting Research & Technology, 53(3), 189–203.
Huang, Y., Li, J., & Dai, Q. (2024). Comparative analysis of circadian lighting models: melanopic illuminance vs. circadian stimulus. Optics Express, 32(17), 29494–29513.
Jalali, S., Cheung, I. N., & Saini, B. (2024). Human-centric lighting strategies for indoor environments: Effects on circadian rhythm and visual comfort. Building and Environment, 250, 111215.
Lucas, R. J., Peirson, S. N., Berson, D. M., Brown, T. M., Cooper, H. M., Czeisler, C. A., et al. (2019). Measuring and using light in the melanopsin age. Trends in Neurosciences, 42(1), 1–12.
Meek, C., & Van Den Wymelenberg, K. (2014). Daylighting and Integrated Lighting Design. Routledge.
Rea, M. S., & Figueiro, M. G. (2018). Light as a circadian stimulus for architectural lighting. Lighting Research & Technology, 50(4), 497–510.
Sanchez-Cano, A., Orduna-Hospital, E., & Aporta, J. (2024). Photopic and Melanopic Analysis of Daylight Through Glazing in Indoor Environments. Buildings, 14(10), 3291.
Van Bommel, W. J. M. (2020). Non-visual biological effect of lighting and the practical meaning for lighting for work. Applied Sciences, 10(4), 1567
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