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Raytracing simulation for predicting light pipe transmittance

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  • Spencer Dutton
  • Li Shao

Abstract

Daylighting systems can offer energy savings primarily by reducing electric lighting usage. Accurate predictive models of daylighting system performances are crucial for effective design and implementation of this renewable energy technology. A comparative study of predictive methods was performed and the use of a commercial raytracing software program was validated as a method of predicting light pipe performance. Raytracing simulation was shown to more accurately predict transmission effi ciency than existing analytical methods. Copyright , Manchester University Press.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:ijlctc:v:2:y:2007:i:4:p:339-358
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    File URL: http://hdl.handle.net/10.1093/ijlct/2.4.339
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    Cited by:

    1. Han, Hyunjoo & Tai Kim, Jeong, 2010. "Application of high-density daylight for indoor illumination," Energy, Elsevier, vol. 35(6), pages 2654-2666.
    2. 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.
    3. Marmoush, Mohamed M. & Rezk, Hegazy & Shehata, Nabila & Henry, Jean & Gomaa, Mohamed R., 2018. "A novel merging Tubular Daylight Device with Solar Water Heater – Experimental study," Renewable Energy, Elsevier, vol. 125(C), pages 947-961.

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