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A review of daylighting design and implementation in buildings

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  • Wong, Ing Liang

Abstract

Daylighting design has become prevalent in modern buildings in the effort to create a more sustainable living environment. Past and recent bodies of research emerged are mainly focused on the different methods of predicting and measuring daylight level and various range of daylighting technologies available. Despite a wide range of developed and commercially available daylighting systems have been reported, their applications have been limited by a lack of studies on their utilisations and high initial costs. Computer simulations have been frequently used in the past to investigate daylighting performance due to reliable and accurate predictions. However, additional simulation time and variable level of skills and knowledge required are major drawback of computer simulations. This paper includes and pools information on all major daylighting design topic in the built environment. The study critically reviews and compares daylighting design principles, strengths and weaknesses of different range of daylighting systems and calculation methods, such as, scale model with artificial sky, full scale model for field measurement, numerical modelling and manual calculation procedures with the aid of diagrams or tables. Such information could be of useful for engineers, researchers and designers to assess the suitability of applying these systems and technologies in different building types and examine the potential of energy and cost savings.

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  • Wong, Ing Liang, 2017. "A review of daylighting design and implementation in buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 959-968.
  • Handle: RePEc:eee:rensus:v:74:y:2017:i:c:p:959-968
    DOI: 10.1016/j.rser.2017.03.061
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    1. Chirarattananon, Surapong & Chaiwiwatworakul, Pipat & Pattanasethanon, Singthong, 2002. "Daylight availability and models for global and diffuse horizontal illuminance and irradiance for Bangkok," Renewable Energy, Elsevier, vol. 26(1), pages 69-89.
    2. Hraska, Jozef, 2015. "Chronobiological aspects of green buildings daylighting," Renewable Energy, Elsevier, vol. 73(C), pages 109-114.
    3. Littlefair, P.J. & Aizlewood, M.E. & Birtles, A.B., 1994. "The performance of innovative daylighting systems," Renewable Energy, Elsevier, vol. 5(5), pages 920-934.
    4. Elmualim, A. A. & Smith, S. & Riffat, S. B. & Shao, L., 1999. "Evaluation of dichroic material for enhancing light pipe/natural ventilation and daylighting in an integrated system," Applied Energy, Elsevier, vol. 62(4), pages 253-266, April.
    5. Alrubaih, M.S. & Zain, M.F.M. & Alghoul, M.A. & Ibrahim, N.L.N. & Shameri, M.A. & Elayeb, Omkalthum, 2013. "Research and development on aspects of daylighting fundamentals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 21(C), pages 494-505.
    6. Al-Sallal, Khaled A., 1998. "Sizing windows to achieve passive cooling, passive heating, and daylighting in hot arid regions," Renewable Energy, Elsevier, vol. 14(1), pages 365-371.
    7. Spencer Dutton & Li Shao, 2007. "Raytracing simulation for predicting light pipe transmittance," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 2(4), pages 339-358, October.
    8. De Herde, A. & Nihoul, A., 1994. "Overheating and daylighting in commercial buildings," Renewable Energy, Elsevier, vol. 5(5), pages 917-919.
    9. Busch, John F. & Du Pont, Peter & Chirarattananon, Surapong, 1993. "Energy-efficient lighting in Thai commercial buildings," Energy, Elsevier, vol. 18(2), pages 197-210.
    10. Krüger, Eduardo L. & Dorigo, Adriano Lucio, 2008. "Daylighting analysis in a public school in Curitiba, Brazil," Renewable Energy, Elsevier, vol. 33(7), pages 1695-1702.
    11. Loutzenhiser, Peter G. & Maxwell, Gregory M. & Manz, Heinrich, 2007. "An empirical validation of the daylighting algorithms and associated interactions in building energy simulation programs using various shading devices and windows," Energy, Elsevier, vol. 32(10), pages 1855-1870.
    12. Apian-Bennewitz, Peter & Goller, Manuel & Herkel, Sebastian & Kovach-Hebling, Anne & Wienold, Jan, 1998. "Computer-oriented building design: Advances in daylighting and thermal simulation tools," Renewable Energy, Elsevier, vol. 14(1), pages 351-356.
    13. Rogora, A. & Palermo, G., 1994. "New component for daylighting: first italian application of a sun duct," Renewable Energy, Elsevier, vol. 5(5), pages 974-976.
    14. Tian, Cheng & Chen, Tingyao & Chung, Tse-ming, 2014. "Experimental and simulating examination of computer tools, Radlink and DOE2, for daylighting and energy simulation with venetian blinds," Applied Energy, Elsevier, vol. 124(C), pages 130-139.
    15. Soler, Alfonso & Oteiza, Pilar, 1996. "Dependence on solar elevation of the performance of a light shelf as a potential daylighting device," Renewable Energy, Elsevier, vol. 8(1), pages 198-201.
    16. Cabús, Ricardo C. & Pereira, Fernando O.R., 1996. "Luminous efficacy of daylighting in intertropical region: An analysis for toplighting systems," Renewable Energy, Elsevier, vol. 8(1), pages 210-213.
    17. Galatioto, A. & Beccali, M., 2016. "Aspects and issues of daylighting assessment: A review study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 852-860.
    18. Smith, G.B. & Yan, W & Hossain, M. & McCredie, G., 1998. "Science of daylighting in buildings," Renewable Energy, Elsevier, vol. 15(1), pages 325-330.
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    17. Jie Li & Qichao Ban & Xueming (Jimmy) Chen & Jiawei Yao, 2019. "Glazing Sizing in Large Atrium Buildings: A Perspective of Balancing Daylight Quantity and Visual Comfort," Energies, MDPI, vol. 12(4), pages 1-14, February.
    18. Li, Xiujie & Wei, Yeyan & Zhang, Junbin & Jin, Peng, 2019. "Design and analysis of an active daylight harvesting system for building," Renewable Energy, Elsevier, vol. 139(C), pages 670-678.
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    21. Allen Jong-Woei Whang & Tsai-Hsien Yang & Zhong-Hao Deng & Yi-Yung Chen & Wei-Chieh Tseng & Chun-Han Chou, 2019. "A Review of Daylighting System: For Prototype Systems Performance and Development," Energies, MDPI, vol. 12(15), pages 1-34, July.
    22. Lešnik, Maja & Kravanja, Stojan & Premrov, Miroslav & Žegarac Leskovar, Vesna, 2020. "Optimal design of timber-glass upgrade modules for vertical building extension from the viewpoints of energy efficiency and visual comfort," Applied Energy, Elsevier, vol. 270(C).

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