IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v211y2018icp1216-1228.html
   My bibliography  Save this article

Energy efficiency and lighting design in courtyards and atriums: A predictive method for daylight factors

Author

Listed:
  • Acosta, Ignacio
  • Varela, Carmen
  • Molina, Juan Francisco
  • Navarro, Jaime
  • Sendra, Juan José

Abstract

The proper design of courtyards and atriums is key in providing sufficient daylight inside buildings as well as major energy savings in electric lighting. Although a suitable design requires calculations using lighting simulation software or complex algorithms, architects lack a quick and precise procedure to determine proper design. The aim of this research is therefore to offer a fast accurate method for determining the daylight factor for different points on a rectangular courtyard or the central space of an atrium, based on the variable geometry and reflectance of the inner surfaces. Firstly, daylight factors are defined using measurements in scale models in an artificial sky and values obtained in real courtyards under real overcast skies. The sky component is subsequently defined based on earlier studies and Tregenza algorithms in order to quantify the reflected component. Following the curve fitting process, a predictive method of daylight factors is defined and compared with the previous measures. The comparison demonstrates that the predictive method offers an average accuracy of over 90% based on a quick and easy calculation. Finally, the energy saving in electric lighting is quantified following the predictive method established.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:211:y:2018:i:c:p:1216-1228
    DOI: 10.1016/j.apenergy.2017.11.104
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261917317051
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2017.11.104?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. 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.
    2. Ignacio Acosta & Jaime Navarro & Juan J. Sendra, 2011. "Towards an Analysis of Daylighting Simulation Software," Energies, MDPI, vol. 4(7), pages 1-15, June.
    3. 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.
    4. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
    5. Das, Aparna & Paul, Saikat Kumar, 2015. "Artificial illumination during daytime in residential buildings: Factors, energy implications and future predictions," Applied Energy, Elsevier, vol. 158(C), pages 65-85.
    6. Chel, Arvind & Tiwari, G.N. & Singh, H.N., 2010. "A modified model for estimation of daylight factor for skylight integrated with dome roof structure of mud-house in New Delhi (India)," Applied Energy, Elsevier, vol. 87(10), pages 3037-3050, October.
    7. Taleghani, Mohammad & Tenpierik, Martin & van den Dobbelsteen, Andy, 2014. "Energy performance and thermal comfort of courtyard/atrium dwellings in the Netherlands in the light of climate change," Renewable Energy, Elsevier, vol. 63(C), pages 486-497.
    8. Chow, Stanley K.H. & Li, Danny H.W. & Lee, Eric W.M. & Lam, Joseph C., 2013. "Analysis and prediction of daylighting and energy performance in atrium spaces using daylight-linked lighting controls," Applied Energy, Elsevier, vol. 112(C), pages 1016-1024.
    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. Rastegari, Mahsa & Pournaseri, Shahnaz & Sanaieian, Haniyeh, 2023. "Analysis of daylight metrics based on the daylight autonomy (DLA) and lux illuminance in a real office building atrium in Tehran," Energy, Elsevier, vol. 263(PB).
    3. Alejandra Susa-Páez & María Beatriz Piderit-Moreno, 2020. "Geometric Optimization of Atriums with Natural Lighting Potential for Detached High-Rise Buildings," Sustainability, MDPI, vol. 12(16), pages 1-40, August.
    4. Habibi, Shahryar & Kamel, Ehsan & Memari, Ali M., 2024. "Design strategies for addressing COVID-19 issues in buildings," Energy, Elsevier, vol. 293(C).

    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. Acosta, Ignacio & Campano, Miguel Ángel & Molina, Juan Francisco, 2016. "Window design in architecture: Analysis of energy savings for lighting and visual comfort in residential spaces," Applied Energy, Elsevier, vol. 168(C), pages 493-506.
    2. Acosta, Ignacio & Munoz, Carmen & Campano, Miguel Angel & Navarro, Jaime, 2015. "Analysis of daylight factors and energy saving allowed by windows under overcast sky conditions," Renewable Energy, Elsevier, vol. 77(C), pages 194-207.
    3. Jeongyoon Oh & Taehoon Hong & Hakpyeong Kim & Jongbaek An & Kwangbok Jeong & Choongwan Koo, 2017. "Advanced Strategies for Net-Zero Energy Building: Focused on the Early Phase and Usage Phase of a Building’s Life Cycle," Sustainability, MDPI, vol. 9(12), pages 1-52, December.
    4. Alejandra Susa-Páez & María Beatriz Piderit-Moreno, 2020. "Geometric Optimization of Atriums with Natural Lighting Potential for Detached High-Rise Buildings," Sustainability, MDPI, vol. 12(16), pages 1-40, August.
    5. Chen, Qian & Oh, Seung Jin & Burhan, Muhammad, 2020. "Design and optimization of a novel electrowetting-driven solar-indoor lighting system," Applied Energy, Elsevier, vol. 269(C).
    6. Zamani, Zahra & Heidari, Shahin & Hanachi, Pirouz, 2018. "Reviewing the thermal and microclimatic function of courtyards," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 580-595.
    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. Lee, Naeun & Kim, Jonghun & Jang, Cheolyong & Sung, Yoondong & Jeong, Hakgeun, 2015. "Comparison of sensorless dimming control based on building modeling and solar power generation," Energy, Elsevier, vol. 81(C), pages 15-20.
    9. Ignacio Acosta & Miguel Ángel Campano & Samuel Domínguez-Amarillo & Carmen Muñoz, 2018. "Dynamic Daylight Metrics for Electricity Savings in Offices: Window Size and Climate Smart Lighting Management," Energies, MDPI, vol. 11(11), pages 1-27, November.
    10. 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.
    11. Janusz Marchwiński & Agnieszka Starzyk & Ołeksij Kopyłow & Karolina Kurtz-Orecka, 2023. "Impact of Atrium Glazing with and without BIPV on Energy Performance of the Low-Rise Building: A Central European Case Study," Energies, MDPI, vol. 16(12), pages 1-25, June.
    12. 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.
    13. Seok-Hyun Kim & Hakgeun Jeong & Soo Cho, 2019. "A Study on Changes of Window Thermal Performance by Analysis of Physical Test Results in Korea," Energies, MDPI, vol. 12(20), pages 1-17, October.
    14. Chi, Fang'ai & Zhang, Jianxun & Li, Gaomei & Zhu, Zongzhou & Bart, Dewancker, 2019. "An investigation of the impact of Building Azimuth on energy consumption in sizhai traditional dwellings," Energy, Elsevier, vol. 180(C), pages 594-614.
    15. Huishu Chen & Zheng Tan & Piman Sun, 2024. "Research on Wind Environment Simulation in Five Types of “Gray Spaces” in Traditional Jiangnan Gardens, China," Sustainability, MDPI, vol. 16(17), pages 1-25, September.
    16. Ruparathna, Rajeev & Hewage, Kasun & Sadiq, Rehan, 2016. "Improving the energy efficiency of the existing building stock: A critical review of commercial and institutional buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1032-1045.
    17. Jiayu Li & Bohong Zheng & Xiao Chen & Yihua Zhou & Jifa Rao & Komi Bernard Bedra, 2020. "Research on Annual Thermal Environment of Non-Hvac Building Regulated by Window-to-Wall Ratio in a Chinese City (Chenzhou)," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    18. Sun, Yanyi & Liu, Xin & Ming, Yang & Liu, Xiao & Mahon, Daniel & Wilson, Robin & Liu, Hao & Eames, Philip & Wu, Yupeng, 2021. "Energy and daylight performance of a smart window: Window integrated with thermotropic parallel slat-transparent insulation material," Applied Energy, Elsevier, vol. 293(C).
    19. Suk-jin Jung & Seong-hwan Yoon, 2018. "Study on the Prediction and Improvement of Indoor Natural Light and Outdoor Comfort in Apartment Complexes Using Daylight Factor and Physiologically Equivalent Temperature Indices," Energies, MDPI, vol. 11(7), pages 1-19, July.
    20. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2017. "User satisfaction-induced demand side load management in residential buildings with user budget constraint," Applied Energy, Elsevier, vol. 187(C), pages 352-366.

    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:appene:v:211:y:2018:i:c:p:1216-1228. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.