IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v34y2009i1p223-232.html
   My bibliography  Save this article

Interactions between louvers and ceiling geometry for maximum daylighting performance

Author

Listed:
  • Freewan, Ahmed A.
  • Shao, Li
  • Riffat, Saffa

Abstract

The impact of ceiling geometries on the performance of louvers was investigated using physical model experiments and Radiance simulations. Two performance indicators, the illuminance level and its distribution uniformity, were used to assess daylighting performance in a room located in a subtropical climate region. It was found that the performance of the louvers can be improved by changing the ceiling geometry. The illuminance level increased in the rear of the room, and decreased in the front—near the window—compared to rooms having horizontal ceilings. Radiance results were found to be in good agreement with physical model data obtained under a clear sky and high solar radiation. Louvers' daylighting performance was reduced by tilting the louvers downward. The best ceiling shape was found to be one that is chamfered in the front and rear of the room.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:1:p:223-232
    DOI: 10.1016/j.renene.2008.03.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014810800102X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2008.03.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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. Yibing Xue & Wenhan Liu, 2022. "A Study on Parametric Design Method for Optimization of Daylight in Commercial Building’s Atrium in Cold Regions," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    2. 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.
    3. Palmero-Marrero, Ana I. & Oliveira, Armando C., 2010. "Effect of louver shading devices on building energy requirements," Applied Energy, Elsevier, vol. 87(6), pages 2040-2049, June.
    4. Rakha, Tarek & Nassar, Khaled, 2011. "Genetic algorithms for ceiling form optimization in response to daylight levels," Renewable Energy, Elsevier, vol. 36(9), pages 2348-2356.
    5. Jifeng Song & Bizuayehu Bogale Dessie & Longyu Gao, 2023. "Analysis and Comparison of Daylighting Technologies: Light Pipe, Optical Fiber, and Heliostat," Sustainability, MDPI, vol. 15(14), pages 1-30, July.
    6. Seung-Ju Choe & Seung-Hoon Han, 2022. "Energy Balance Data-Based Optimization of Louver Installation Angles for Different Regions in Korea," Energies, MDPI, vol. 15(23), pages 1-17, December.

    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. 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.
    2. Antonis Kontadakis & Aris Tsangrassoulis & Lambros Doulos & Stelios Zerefos, 2017. "A Review of Light Shelf Designs for Daylit Environments," Sustainability, MDPI, vol. 10(1), pages 1-24, December.
    3. 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.
    4. 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.
    5. 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.
    6. Al-Sallal, Khaled A., 2007. "Testing glare in universal space design studios in Al-Ain, UAE desert climate and proposed improvements," Renewable Energy, Elsevier, vol. 32(6), pages 1033-1044.
    7. 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.
    8. 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.
    9. Ghosh, Aritra & Norton, Brian, 2018. "Advances in switchable and highly insulating autonomous (self-powered) glazing systems for adaptive low energy buildings," Renewable Energy, Elsevier, vol. 126(C), pages 1003-1031.
    10. 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.
    11. 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.
    12. 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.

    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:eee:renene:v:34:y:2009:i:1:p:223-232. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    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.