Abstract
After having discussed in the previous chapters the non-image forming (NIF) effects of light and the methods currently available to evaluate these effects, this chapter deals with a topic of central importance for the book. Having established that natural light is the best light for a correct timing of the human circadian cycle, with all the benefits that derive from it, this chapter explores the question if the real availability of natural light, for people who live and work in interior spaces, is adequate for a correct timing of the circadian cycle as it happens outside. This topic is developed in three contexts of interior design: office spaces, residential areas and training facilities. The question is analysed based on studies conducted at the Politecnico di Milano, placing them in relation with those carried out by other research groups. We also present the survey methods used, to then conclude that only in particular cases, unfortunately limited, the natural light present in interior spaces is able to correctly stimulate the human circadian system. This therefore leads to the consideration that artificial lighting in interior spaces could have NIF effects in the daylight hours, compensating for the lack of natural light.
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Andersen, M., Mardaljevic, J., & Lockley, S. (2012). A framework for predicting the non-visual effects of daylight—Part I: Photobiology-based model. Lighting Research & Technology, 44(1), 37–53. https://doi.org/10.1177/1477153511435961.
Artigas, J. M., et al. (2012). Spectral transmission of the human crystalline lens in adult and elderly persons: Color and total transmission of visible light. Investigative Ophthalmology & Visual Science, 53(7), 4076–4084. https://doi.org/10.1167/iovs.12-9471.
Barker, F., & Brainard, G. (1991). The direct spectral transmittance of the excised human lens as a function of age (FDA 785345 0090 RA). US Food and Drug Administration. Available at: https://www.chemie.uni-wuerzburg.de/fileadmin/08020000/user_upload/makula/transmittance.pdf. Accessed May 15, 2018.
Barnard, K., & Funt, B. (2002). Camera characterization for colour research. Color Research & Application, 27(3), 152–163. https://doi.org/10.1002/col.10050.
Begemann, S. H. A., van den Beld, G. J., & Tenner, A. D. (1997). Daylight, artificial light and people in an office environment, overview of visual and biological responses. International Journal of Industrial Ergonomics, 20(3), 231–239. https://doi.org/10.1016/S0169-8141(96)00053-4.
Bellia, L., Pedace, A., & Fragliasso, F. (2017). Indoor lighting quality: Effects of different wall colours. Lighting Research & Technology, 49(1), 33–48. https://doi.org/10.1177/1477153515594654.
Borisuit, A., et al. (2015). Effects of realistic office daylighting and electric lighting conditions on visual comfort, alertness and mood. Lighting Research & Technology, 47(2), 192–209. https://doi.org/10.1177/1477153514531518.
Chain, C., Dumortier, D., & Fontoynont, M. (1999). A comprehensive model of luminance, correlated colour temperature and spectral distribution of skylight: Comparison with experimental data. Solar Energy, 65(5), 285–295. https://doi.org/10.1016/S0038-092X(98)00145-5.
CIBSE. (2014). LG10/14 Lighting Guide 10: Daylighting—A Guide for Designers. CIBSE.
CIE 015:2004 Colorimetry (3rd edn).
CIE 190:2010 Calculation and Presentation of United Glare Rating Tables for Indoor Lighting Luminaires.
Debevec, P. E., & Malik, J. (1997). Recovering high dynamic range radiance maps from photographs. In: Proceedings of the 24th Annual Conference on Computer Graphics and Interactive Techniques (pp. 369–378). New York, NY, USA: ACM Press/Addison-Wesley Publishing Co. (SIGGRAPH ’97). https://doi.org/10.1145/258734.258884.
EN 12464-1:2011 Light and lighting—Lighting of work places—Part 1: Indoor work places.
Figueiro, M. G., Bierman, A., & Rea, M. S. (2008). Retinal mechanisms determine the subadditive response to polychromatic light by the human circadian system. Neuroscience Letters, 438(2), 242–245. https://doi.org/10.1016/j.neulet.2008.04.055.
Gall, D., & Bieske, K. (2004). Definition and measurement of circadian radiometric quantities. In Proceedings of the CIE Symposium ’04 on Light and Health (pp. 129–32).
Hernández-Andrés, J., et al. (2001). Color and spectral analysis of daylight in southern Europe. JOSA A, 18(6), 1325–1335. https://doi.org/10.1364/JOSAA.18.001325.
Heschong, L., Wright, R. L., & Okura, S. (2002). Daylighting impacts on human performance in school. Journal of the Illuminating Engineering Society, 31(2), 101–114. https://doi.org/10.1080/00994480.2002.10748396.
Hosek, L., & Wilkie, A. (2012). An analytic model for full spectral sky-dome radiance. ACM Transactions on Graphics, 31(4), 95:1–95:9. https://doi.org/10.1145/2185520.2185591.
Hosek, L., & Wilkie, A. (2013). Adding a solar-radiance function to the Hošek-Wilkie skylight model. IEEE Computer Graphics and Applications, 33(3), 44–52. https://doi.org/10.1109/MCG.2013.18.
ISO 15469:2004(E)/CIE S 011/E:2003 Spatial distribution of daylight—CIE Standard General Sky.
Kaneider, D., et al. (2017). Luminance HDR. Available at: https://sourceforge.net/projects/qtpfsgui/. Accessed July 8, 2018.
Kobav, M. B., & Bizjak, G. (2005). Development of a substitutive light source for indoor daylight calculations. Building and Environment, 40(12), 1611–1618. https://doi.org/10.1016/j.buildenv.2004.12.013.
Kumaragurubaran, V., & Inanici, M. (2013). hdrscope. Available at: http://courses.washington.edu/hdrscope/. Accessed July 8, 2018.
Mardaljevic, J., et al. (2014). A framework for predicting the non-visual effects of daylight—Part II: The simulation model. Lighting Research & Technology, 46(4), 388–406. https://doi.org/10.1177/1477153513491873.
Mccurdy, T., & Graham, S. E. (2003). Using human activity data in exposure models: Analysis of discriminating factors. Journal of Exposure Science & Environmental Epidemiology, 13(4), 294–317. https://doi.org/10.1038/sj.jea.7500281.
Mclntyre, I. M., et al. (1989). Human melatonin suppression by light is intensity dependent. Journal of Pineal Research, 6(2), 149–156. https://doi.org/10.1111/j.1600-079X.1989.tb00412.x.
Ng, E. Y.-Y., et al. (2001). Advanced lighting simulation in architectural design in the tropics. Automation in Construction. (CAADRIA), 10(3), 365–379. https://doi.org/10.1016/S0926-5805(00)00053-4.
NRC. (1981). Indoor Pollutants. Washington, DC: The National Academies Press. https://doi.org/10.17226/1711.
Osram Sylvania. (2017). LED ColorCalculator. Available at: https://www.osram.us/cb/tools-and-resources/applications/led-colorcalculator/index.jsp. Accessed September 10, 2017.
Rea, M. S., Figueiro, M. G., & Bullough, J. D. (2002). Circadian photobiology: an emerging framework for lighting practice and research. Lighting Research & Technology, 34(3), 177–187. https://doi.org/10.1191/1365782802lt057oa.
Rea, M. S., et al. (2005). A model of phototransduction by the human circadian system. Brain Research Reviews, 50(2), 213–228. https://doi.org/10.1016/j.brainresrev.2005.07.002.
Rea, M. S., et al. (2010), Circadian light. Journal of Circadian Rhythms, 8. https://doi.org/10.1186/1740-3391-8-2.
Rea, M. S., et al. (2012). Modelling the spectral sensitivity of the human circadian system. Lighting Research & Technology, 44(4), 386–396. https://doi.org/10.1177/1477153511430474.
Rea, M. S., & Figueiro, M. G. (2013). A working threshold for acute nocturnal melatonin suppression from white light sources used in architectural applications. Journal of Carcinogenesis & Mutagenesis, 4(3), 1–6. https://doi.org/10.4172/2157-2518.1000150.
Rea, M. S., & Figueiro, M. G. (2016). Light as a circadian stimulus for architectural lighting. Lighting Research & Technology, 50(4), 497–510. https://doi.org/10.1177/1477153516682368.
Satel-Light. (2018). The European database of daylight and solar radiation. Available at: http://www.satel-light.com/. Accessed July 5, 2018.
Shao, L., Elmualim, A. A., & Yohannes, I. (1998). Mirror lightpipes: Daylighting performance in real buildings. International Journal of Lighting Research and Technology, 30(1), 37–44. https://doi.org/10.1177/096032719803000106.
Solli, M., et al. (2005). Digital camera characterization for colour measurements. In 2005 Beijing International Conference on Imaging: Technology and Applications for the 21st Century (pp. 278–279). Science Press.
Spitzglas, M. (1984). Defining daylighting from windows in terms of candlepower distribution curves. In IEEE/IAS 1984 Annual Meeting. Chicago: IEEE Computer Society. Available at: http://gaia.lbl.gov/btech/papers/18087.pdf. Accessed April 3, 2018.
Wandachowicz, K. (2006). Calculation of circadian illuminance distribution with Radiance. In 5th International Radiance Scientific Workshop. Leicester, UK: Radsite. Available at: https://radiance-online.org/community/workshops/2006-leicester/Presentations/Wandachowicz-2_RW2006.pdf. Accessed May 5, 2018.
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Rossi, M. (2019). Case Studies: Natural Light in Interior Spaces. In: Circadian Lighting Design in the LED Era. Research for Development. Springer, Cham. https://doi.org/10.1007/978-3-030-11087-1_4
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DOI: https://doi.org/10.1007/978-3-030-11087-1_4
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