IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i24p8107-d1301757.html
   My bibliography  Save this article

Evaluation of External Light Shelf Performance in Relation to the Ceiling Types Used in Indoor Spaces

Author

Listed:
  • Su-yeon Jung

    (College of Design, Sangmyung University, Cheonan-si 31066, Chungcheongnam-do, Republic of Korea)

  • Min-Goo Lee

    (Korea Electronics Technology Institute, Seongnam-si 13509, Gyeonggi-do, Republic of Korea)

  • Heangwoo Lee

    (College of Design, Sangmyung University, Cheonan-si 31066, Chungcheongnam-do, Republic of Korea)

Abstract

A light shelf is a type of natural daylight system that brings natural light from the outside into an indoor space through a reflector and a ceiling surface. The introduction of light shelves has led to studies evaluating their efficiency. However, past studies on light shelves did not consider the diversity of ceiling types when evaluating their performance. Therefore, this study derives fundamental data involving external light shelf designs by evaluating light shelf performance based on the ceiling type present using a light environment simulation method. This study analyzed the indoor illuminance distribution with Radiance to evaluate the performance according to light shelves and indoor space types. The results derived from this study are as follows: (1) In the case of a flat ceiling, the performance of an external light shelf can be improved by increasing its angle and width. However, adjusting the external light shelf angle to 30° during the middle of the season and 20° in winter is ineffective because natural light is not reflected by the ceiling surface. (2) The performance of a light shelf can be improved by increasing the slope and curvature of the ceiling types specified in this study. However, setting the light shelf angle to 30° during the middle season and to 30° and 20° in winter, when external natural light entering the indoor space is not reflected by the ceiling surface, is ineffective due to the low levels of daylight performance, regardless of the type of space. (3) To increase uniformity levels in gable ceilings and curved ceilings, it is advantageous to increase the number of reflections and diffusion areas on the ceiling’s surface due to the uniqueness of these ceiling shapes. Furthermore, the optimal external light shelf angle for these ceiling types differs from that of other types. (4) Regarding the appropriate external light shelf size according to a particular ceiling type, installing an angle-controllable external light shelf with a width of 1.2 m can improve daylight performance.

Suggested Citation

  • Su-yeon Jung & Min-Goo Lee & Heangwoo Lee, 2023. "Evaluation of External Light Shelf Performance in Relation to the Ceiling Types Used in Indoor Spaces," Energies, MDPI, vol. 16(24), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8107-:d:1301757
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/24/8107/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/24/8107/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Huang, Lizhen & Krigsvoll, Guri & Johansen, Fred & Liu, Yongping & Zhang, Xiaoling, 2018. "Carbon emission of global construction sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1906-1916.
    Full references (including those not matched with items on IDEAS)

    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. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    2. Liu, Lirong & Huang, Guohe & Baetz, Brian & Huang, Charley Z. & Zhang, Kaiqiang, 2019. "Integrated GHG emissions and emission relationships analysis through a disaggregated ecologically-extended input-output model; A case study for Saskatchewan, Canada," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 97-109.
    3. Pérez-Sánchez, Laura À. & Velasco-Fernández, Raúl & Giampietro, Mario, 2022. "Factors and actions for the sustainability of the residential sector. The nexus of energy, materials, space, and time use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    4. Wenchao Li & Jian Xu & Zhengming Wang & Jialiang Yang, 2020. "The impact of LCTI on China's low-carbon transformation from the spatial spillover perspective," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-11, November.
    5. Yeguan Yu, 2023. "The Impact of Financial System on Carbon Intensity: From the Perspective of Digitalization," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    6. Li, Dezhi & Huang, Guanying & Zhu, Shiyao & Chen, Long & Wang, Jiangbo, 2021. "How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    7. Lachlan Curmi & Kumudu Kaushalya Weththasinghe & Muhammad Atiq Ur Rehman Tariq, 2022. "Global Policy Review on Embodied Flows: Recommendations for Australian Construction Sector," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    8. Alberto Bezama & Jakob Hildebrandt & Daniela Thrän, 2021. "Integrating Regionalized Socioeconomic Considerations onto Life Cycle Assessment for Evaluating Bioeconomy Value Chains: A Case Study on Hybrid Wood–Concrete Ceiling Elements," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
    9. Long Li & Yinting Li, 2022. "The Spatial Relationship between CO 2 Emissions and Economic Growth in the Construction Industry: Based on the Tapio Decoupling Model and STIRPAT Model," Sustainability, MDPI, vol. 15(1), pages 1-12, December.
    10. Mengcheng Li & Haimeng Liu & Shangkun Yu & Jianshi Wang & Yi Miao & Chengxin Wang, 2022. "Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    11. Senchang Hu & Shaoyi Li & Xiangxin Meng & Yingzheng Peng & Wenzhe Tang, 2023. "Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry," Energies, MDPI, vol. 16(19), pages 1-20, September.
    12. Karlsson, Ida & Rootzén, Johan & Johnsson, Filip, 2020. "Reaching net-zero carbon emissions in construction supply chains – Analysis of a Swedish road construction project," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    13. Lisa Stelzer & Friederike Hoberg & Vanessa Bach & Bertram Schmidt & Sven Pfeiffer & Vera Meyer & Matthias Finkbeiner, 2021. "Life Cycle Assessment of Fungal-Based Composite Bricks," Sustainability, MDPI, vol. 13(21), pages 1-17, October.
    14. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    15. Pan, Xiongfeng & Guo, Shucen & Xu, Haitao & Tian, Mengyuan & Pan, Xianyou & Chu, Junhui, 2022. "China's carbon intensity factor decomposition and carbon emission decoupling analysis," Energy, Elsevier, vol. 239(PC).
    16. Truong, D.Q. & Marco, J. & Greenwood, D. & Harper, L. & Corrochano, D.G. & Yoon, J.I., 2018. "Challenges of micro/mild hybridisation for construction machinery and applicability in UK," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 301-320.
    17. Jiaojiao Yang & Ting Wang & Yujie Hu & Qiyun Deng & Shu Mo, 2023. "Comparative Analysis of Research Trends and Hotspots of Foreign and Chinese Building Carbon Emissions Based on Bibliometrics," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
    18. Lilis Yuaningsih & R. Adjeng Mariana Febrianti, 2021. "Spotting the Environmental Effect of the Economy and Technology: How the Development is Causing A Stringency with Carbon Emission?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 130-137.
    19. Bruno Ribeiro & Tadaaki Uchiyama & Jun Tomiyama & Takashi Yamamoto & Yosuke Yamashiki, 2020. "An Environmental Assessment of Interlocking Concrete Blocks Mixed with Sugarcane Residues Produced in Okinawa," Resources, MDPI, vol. 9(8), pages 1-11, August.
    20. Sicheng Wang & Yuanyuan Guo & Hao Zhang & Mingming Gao, 2023. "A Life-Cycle Carbon Emissions Evaluation Model for Traditional Residential Houses: Applying to Traditional Dong Dwellings in Qandongnan, Guizhou Province, China," Sustainability, MDPI, vol. 15(18), pages 1-31, 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:16:y:2023:i:24:p:8107-:d:1301757. 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.