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Evaluation of Daylight and Cooling Performance of Shading Devices in Residential Buildings in South Korea

Author

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  • Taesub Lim

    (Department of Architectural Engineering, Seoil University, Seoul 02192, Korea)

  • Woong Seog Yim

    (Department of Industrial Management, Seoil University, Seoul 02192, Korea)

  • Daeung Danny Kim

    (Architectural Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

Abstract

Accounting for more than half of buildings in South Korea, the energy consumed by residential buildings has become a main concern and the cooing demand has rapidly increased. To reduce energy consumption, several passive and active design strategies have generally been applied. However, there has been an increasing demand for high window-to-wall ratios in residential buildings, it is imperative to block sunlight into a building effectively. Focusing on the reduction of cooling energy consumption in a residential building, the present study assessed the daylight and energy performance of shading devices. Among various types of shading devices, the Venetian blind, horizontal louver, light shelf, and egg-crate were selected. The illuminance levels in three different areas in a building were measured. In addition, the annual cooling energy consumption by these shading devices was investigated. As a result, both daylight and energy performance varied with different design options of these shading devices. Because of the slight performance difference among shading devices, the artificial loads of two best shading devices were compared. In sum, the egg-crate shading was the most proper shading device to block sunlight as well as reduce the cooling energy consumption effectively.

Suggested Citation

  • Taesub Lim & Woong Seog Yim & Daeung Danny Kim, 2020. "Evaluation of Daylight and Cooling Performance of Shading Devices in Residential Buildings in South Korea," Energies, MDPI, vol. 13(18), pages 1-14, September.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4749-:d:412315
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    References listed on IDEAS

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    1. Alhuwayil, Waleed Khalid & Abdul Mujeebu, Muhammad & Algarny, Ali Mohammed M., 2019. "Impact of external shading strategy on energy performance of multi-story hotel building in hot-humid climate," Energy, Elsevier, vol. 169(C), pages 1166-1174.
    2. Han, Yilong & Taylor, John E. & Pisello, Anna Laura, 2017. "Exploring mutual shading and mutual reflection inter-building effects on building energy performance," Applied Energy, Elsevier, vol. 185(P2), pages 1556-1564.
    3. Datta, Gouri, 2001. "Effect of fixed horizontal louver shading devices on thermal perfomance of building by TRNSYS simulation," Renewable Energy, Elsevier, vol. 23(3), pages 497-507.
    4. Li, Danny H.W. & Wong, S.L., 2007. "Daylighting and energy implications due to shading effects from nearby buildings," Applied Energy, Elsevier, vol. 84(12), pages 1199-1209, December.
    5. Paulos, Jason & Berardi, Umberto, 2020. "Optimizing the thermal performance of window frames through aerogel-enhancements," Applied Energy, Elsevier, vol. 266(C).
    6. Ihm, Pyeongchan & Park, Lyool & Krarti, Moncef & Seo, Donghyun, 2012. "Impact of window selection on the energy performance of residential buildings in South Korea," Energy Policy, Elsevier, vol. 44(C), pages 1-9.
    7. 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.
    8. Chan, A.L.S., 2019. "Effect of adjacent shading on the energy and environmental performance of photovoltaic glazing system in building application," Energy, Elsevier, vol. 187(C).
    9. de Gracia, Alvaro, 2019. "Dynamic building envelope with PCM for cooling purposes – Proof of concept," Applied Energy, Elsevier, vol. 235(C), pages 1245-1253.
    10. Kristl, Živa & Košir, Mitja & Trobec Lah, Mateja & Krainer, Aleš, 2008. "Fuzzy control system for thermal and visual comfort in building," Renewable Energy, Elsevier, vol. 33(4), pages 694-702.
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    Cited by:

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    2. Bin Li & Weihong Guo & Xiao Liu & Yuqing Zhang & Peter John Russell & Marc Aurel Schnabel, 2021. "Sustainable Passive Design for Building Performance of Healthy Built Environment in the Lingnan Area," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    3. Vítor Leal, 2021. "Buildings Energy Efficiency and Innovative Energy Systems," Energies, MDPI, vol. 14(16), pages 1-5, August.
    4. Amir Faraji & Fatemeh Rezaei & Payam Rahnamayiezekavat & Maria Rashidi & Hossein Soleimani, 2023. "Subjective and Simulation-Based Analysis of Discomfort Glare Metrics in Office Buildings with Light Shelf Systems," Sustainability, MDPI, vol. 15(15), pages 1-21, August.
    5. Ye Liu & Wanjiang Wang & Zixiao Li & Junkang Song & Zhicheng Fang & Dongbing Pang & Yanhui Chen, 2023. "Daylighting Performance and Thermal Comfort Performance Analysis of West-Facing External Shading for School Office Buildings in Cold and Severe Cold Regions of China," Sustainability, MDPI, vol. 15(19), pages 1-27, October.

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