IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v7y2014i4p2362-2376d35071.html
   My bibliography  Save this article

Window Material Daylighting Performance Assessment Algorithm: Comparing Radiosity and Split-Flux Methods

Author

Listed:
  • Yeo Beom Yoon

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyung-Dong, Yuseong-Gu, Daejeon 305-719, Korea)

  • Woo Ram Jeong

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyung-Dong, Yuseong-Gu, Daejeon 305-719, Korea)

  • Kwang Ho Lee

    (Department of Architectural Engineering, Hanbat National University, San 16-1, Dukmyung-Dong, Yuseong-Gu, Daejeon 305-719, Korea)

Abstract

Windows are the primary aperture to introduce solar radiation to the interior space of a building. This experiment explores the use of EnergyPlus software for analyzing the illuminance level on the floor of a room with reference to its distance from the window. For this experiment, a double clear glass window has been used. The preliminary modelling in EnergyPlus showed a consistent result with the experimentally monitored data in real time. EnergyPlus has two mainly used daylighting algorithms: DElight method employing radiosity technique and Detailed method employing split-flux technique. Further analysis for illuminance using DElight and Detailed methods showed significant difference in the results. Finally, we compared the algorithms of the two analysis methods in EnergyPlus.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2362-2376:d:35071
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/7/4/2362/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/7/4/2362/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Gago, E.J. & Muneer, T. & Knez, M. & Köster, H., 2015. "Natural light controls and guides in buildings. Energy saving for electrical lighting, reduction of cooling load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1-13.
    3. Sun, Yanyi & Wu, Yupeng & Wilson, Robin, 2018. "A review of thermal and optical characterisation of complex window systems and their building performance prediction," Applied Energy, Elsevier, vol. 222(C), pages 729-747.
    4. Freewan, Ahmed A. & Shao, Li & Riffat, Saffa, 2009. "Interactions between louvers and ceiling geometry for maximum daylighting performance," Renewable Energy, Elsevier, vol. 34(1), pages 223-232.
    5. Acosta, Ignacio & Navarro, Jaime & Sendra, Juan José, 2014. "Lighting design in courtyards: Predictive method of daylight factors under overcast sky conditions," Renewable Energy, Elsevier, vol. 71(C), pages 243-254.
    6. Acosta, Ignacio & Varela, Carmen & Molina, Juan Francisco & Navarro, Jaime & Sendra, Juan José, 2018. "Energy efficiency and lighting design in courtyards and atriums: A predictive method for daylight factors," Applied Energy, Elsevier, vol. 211(C), pages 1216-1228.
    7. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:7:y:2014:i:4:p:2362-2376:d:35071. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.