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Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing

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  • Kunwar, Niraj
  • Cetin, Kristen S.
  • Passe, Ulrike
  • Zhou, Xiaohui
  • Li, Yunhua

Abstract

Commercial buildings consume around 20% of the total energy utilized in the U.S. The use of shading devices in buildings has the potential to reduce building energy consumption while also providing a more desirable indoor environment for building occupants. Similarly, lighting device controls help reduce lighting energy consumption as well as internal loads. However, there is lack of full-scale experimental testing of integrated dynamic shading and lighting controls. This study presents full-scale experimental testing data to quantify these energy and daylighting impacts. Testing was performed utilizing two different control strategies, in three different orientations under three different types of sky conditions. The shading device was also used in conjunction with two different types of glazing. An average of 25.4% cooling energy savings and 48.5% lighting energy savings was achieved. Visual discomfort evaluated using Simplified Daylight Glare Probability was prevented more than 85% of time during occupied hours. Improvement in daylight levels evaluated using Useful Daylight Illuminance was also achieved. Finally, analysis of the relationship between the illuminance level measured at the work plane and a ceiling illuminance sensor is performed to translate the real-world applicability of shading device controls.

Suggested Citation

  • Kunwar, Niraj & Cetin, Kristen S. & Passe, Ulrike & Zhou, Xiaohui & Li, Yunhua, 2020. "Energy savings and daylighting evaluation of dynamic venetian blinds and lighting through full-scale experimental testing," Energy, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:energy:v:197:y:2020:i:c:s0360544220302978
    DOI: 10.1016/j.energy.2020.117190
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    References listed on IDEAS

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    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.
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    3. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2016. "Uncertainty and sensitivity analyses of energy and visual performances of office building with external venetian blind shading in hot-dry climate," Applied Energy, Elsevier, vol. 184(C), pages 155-170.
    4. Singh, Ramkishore & Lazarus, I.J. & Kishore, V.V.N., 2015. "Effect of internal woven roller shade and glazing on the energy and daylighting performances of an office building in the cold climate of Shillong," Applied Energy, Elsevier, vol. 159(C), pages 317-333.
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    Cited by:

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    4. Ali Mohammed AL-Dossary & Daeung Danny Kim, 2020. "A Study of Design Variables in Daylight and Energy Performance in Residential Buildings under Hot Climates," Energies, MDPI, vol. 13(21), pages 1-16, November.
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    6. Van Thillo, L. & Verbeke, S. & Audenaert, A., 2022. "The potential of building automation and control systems to lower the energy demand in residential buildings: A review of their performance and influencing parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    7. Song, Siao & Sun, Hongfa & Long, Jibo & Tan, Xin & Li, Jinhua, 2024. "Light-thermal environment of vertical translucent enclosure structures under solar radiation and method of internal shading adjustment," Energy, Elsevier, vol. 289(C).
    8. Wu, Xianguo & Li, Xinyi & Qin, Yawei & Xu, Wen & Liu, Yang, 2023. "Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions," Applied Energy, Elsevier, vol. 339(C).
    9. Tan, Yutong & Peng, Jinqing & Luo, Yimo & Gao, Jing & Luo, Zhengyi & Wang, Meng & Curcija, Dragan C., 2022. "Parametric study of venetian blinds for energy performance evaluation and classification in residential buildings," Energy, Elsevier, vol. 239(PD).

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