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Comparative Study of Two Daylighting Analysis Methods with Regard to Window Orientation and Interior Wall Reflectance

Author

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  • Yeo Beom Yoon

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyeong-Dong, Yuseong-Gu, Daejeon 305-320, Korea)

  • Rashmi Manandhar

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyeong-Dong, Yuseong-Gu, Daejeon 305-320, Korea)

  • Kwang Ho Lee

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyeong-Dong, Yuseong-Gu, Daejeon 305-320, Korea)

Abstract

The accuracy and speed of the daylighting analysis developed for use in EnergyPlus is better than its predecessors. In EnergyPlus, the detailed method uses the Split-flux algorithm whereas the DElight method uses the Radiosity algorithm. Many existing studies have addressed the two methods, either individually or compared with other daylight analysis methods like Ray tracing but still there is lack of detailed comparative study of these two methods. Our previous studies show that the Split-flux method overestimates the illuminance, especially for the areas away from the window. The Radiosity method has the advantage of accurately predicting this illuminance because of how it deals with the diffuse light. For this study, the EnergyPlus model, which has been calibrated using data measured in a real building in previous studies, has also been used. The calibrated model has a south oriented window only. This model is then used to analyze the interior illuminance inside the room for north, west and east orientation of the window by rotating the model and by changing the wall reflectance of the model with south oriented window. Direct and diffuse component of the illuminance as well as the algorithms have been compared for a detailed analysis.

Suggested Citation

  • Yeo Beom Yoon & Rashmi Manandhar & Kwang Ho Lee, 2014. "Comparative Study of Two Daylighting Analysis Methods with Regard to Window Orientation and Interior Wall Reflectance," Energies, MDPI, vol. 7(9), pages 1-22, September.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:9:p:5825-5846:d:39991
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    References listed on IDEAS

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    1. Tsangrassoulis, Aris & Bourdakis, Vassilis, 2003. "Comparison of radiosity and ray-tracing techniques with a practical design procedure for the prediction of daylight levels in atria," Renewable Energy, Elsevier, vol. 28(13), pages 2157-2162.
    2. Yeo Beom Yoon & Woo Ram Jeong & Kwang Ho Lee, 2014. "Window Material Daylighting Performance Assessment Algorithm: Comparing Radiosity and Split-Flux Methods," Energies, MDPI, vol. 7(4), pages 1-15, April.
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    Cited by:

    1. Bustamante, Waldo & Uribe, Daniel & Vera, Sergio & Molina, Germán, 2017. "An integrated thermal and lighting simulation tool to support the design process of complex fenestration systems for office buildings," Applied Energy, Elsevier, vol. 198(C), pages 36-48.
    2. Byung-Lip Ahn & Ji-Woo Park & Seunghwan Yoo & Jonghun Kim & Hakgeun Jeong & Seung-Bok Leigh & Cheol-Yong Jang, 2015. "Synergetic Effect between Lighting Efficiency Enhancement and Building Energy Reduction Using Alternative Thermal Operating System of Indoor LED Lighting," Energies, MDPI, vol. 8(8), pages 1-13, August.
    3. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2017. "The Impact of Shading Type and Azimuth Orientation on the Daylighting in a Classroom–Focusing on Effectiveness of Façade Shading, Comparing the Results of DA and UDI," Energies, MDPI, vol. 10(5), pages 1-20, May.
    4. Kočí, Jan & Kočí, Václav & Maděra, Jiří & Černý, Robert, 2019. "Effect of applied weather data sets in simulation of building energy demands: Comparison of design years with recent weather data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 22-32.
    5. Seok-Hyun Kim & Kyung-Ju Shin & Bo-Eun Choi & Jae-Hun Jo & Soo Cho & Young-Hum Cho, 2015. "A Study on the Variation of Heating and Cooling Load According to the Use of Horizontal Shading and Venetian Blinds in Office Buildings in Korea," Energies, MDPI, vol. 8(2), pages 1-18, February.
    6. Byung-Lip Ahn & Ji-Woo Park & Seunghwan Yoo & Jonghun Kim & Seung-Bok Leigh & Cheol-Yong Jang, 2015. "Savings in Cooling Energy with a Thermal Management System for LED Lighting in Office Buildings," Energies, MDPI, vol. 8(7), pages 1-14, June.
    7. Fei Cao & Heng Zhang & Hao Zhou & Na Lu, 2018. "Transient Performance Analysis of the Solar Optical Guide Lighting System in Building Groups," Energies, MDPI, vol. 11(11), pages 1-13, October.

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