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Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency

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  • Han, Shulun
  • Sun, Yuying
  • Wang, Wei
  • Xu, Wenjing
  • Wei, Wenzhe

Abstract

Electrochromic (EC) windows can prevent glare by adjusting their tinting state, but the tinted EC glass will affect the use of daylight in the room, resulting in the increase of lighting energy consumption. Splitting the EC window into several panes and tinting only a portion of them can effectively mitigate the conflict between glare prevention and the usage of daylight. However, there is a lack of design methods for EC window split pane configurations to realize further lighting energy-saving potential. To address this problem, this study proposed an optimal design method for EC window split pane configuration. This method is based on the glare calculation model and aims to obtain the minimum tinted area hours (TAH) of the EC window. Taking a south-facing EC window office building in Beijing as a case study, the effectiveness of the proposed design method was investigated by simulation. Results show the proposed design method identified the most energy-efficient and comfortable split panes scheme. By combining with the split-pane glare control method, 95.3% of intolerable glare was prevented, and a useful daylight illumination index of 73.3% was achieved. It also significantly improved building energy efficiency, saving 29.8% of lighting energy consumption compared to whole window design scheme. This study provides a promising design methodology for the high-performance application of EC windows in buildings.

Suggested Citation

  • Han, Shulun & Sun, Yuying & Wang, Wei & Xu, Wenjing & Wei, Wenzhe, 2023. "Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency," Renewable Energy, Elsevier, vol. 219(P1).
    • Handle: RePEc:eee:renene:v:219:y:2023:i:p1:s0960148123013204
    DOI: 10.1016/j.renene.2023.119405
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    References listed on IDEAS

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    1. Chirarattananon, Surapong & Chaiwiwatworakul, Pipat & Pattanasethanon, Singthong, 2002. "Daylight availability and models for global and diffuse horizontal illuminance and irradiance for Bangkok," Renewable Energy, Elsevier, vol. 26(1), pages 69-89.
    2. Krarti, Moncef, 2023. "Optimal optical properties for smart glazed windows applied to residential buildings," Energy, Elsevier, vol. 278(PB).
    3. Zhang, Yingbo & Shan, Kui & Li, Xiuming & Li, Hangxin & Wang, Shengwei, 2023. "Research and Technologies for next-generation high-temperature data centers – State-of-the-arts and future perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
    4. Lantonio, Nicole A. & Krarti, Moncef, 2022. "Simultaneous design and control optimization of smart glazed windows," Applied Energy, Elsevier, vol. 328(C).
    5. Sun, Yuying & Li, Yunhe & Xu, Wenjing & Wang, Wei & Wei, Wenzhe & Zhang, Chunxiao, 2023. "A glare predictive control strategy for split-pane electrochromic windows: Visual comfort and energy-saving assessment," Renewable Energy, Elsevier, vol. 218(C).
    6. Xu, Yizhe & Yan, Chengchu & Yan, Shanhui & Liu, Huifang & Pan, Yan & Zhu, Faxing & Jiang, Yanlong, 2022. "A multi-objective optimization method based on an adaptive meta-model for classroom design with smart electrochromic windows," Energy, Elsevier, vol. 243(C).
    7. 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.
    8. Shen, Yi & Xue, Peng & Luo, Tao & Zhang, Yanyun & Tso, Chi Yan & Zhang, Nan & Sun, Yuying & Xie, Jingchao & Liu, Jiaping, 2022. "Regional applicability of thermochromic windows based on dynamic radiation spectrum," Renewable Energy, Elsevier, vol. 196(C), pages 15-27.
    9. Zhai, Yingni & Wang, Yi & Huang, Yanqiu & Meng, Xiaojing, 2019. "A multi-objective optimization methodology for window design considering energy consumption, thermal environment and visual performance," Renewable Energy, Elsevier, vol. 134(C), pages 1190-1199.
    10. Casini, Marco, 2018. "Active dynamic windows for buildings: A review," Renewable Energy, Elsevier, vol. 119(C), pages 923-934.
    11. 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.
    12. Soler, A & Gopinathan, K.K, 2001. "Analysis of zenith luminance data for all sky conditions," Renewable Energy, Elsevier, vol. 24(2), pages 185-196.
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    1. Zhang, Chunxiao & Li, Dongdong & Wang, Lin & Yang, Qingpo & Guo, Yutao & Zhang, Wei & Shen, Chao & Pu, Jihong, 2024. "Experimental investigation of indoor lighting/thermal environment of liquid-filled energy-saving windows," Renewable Energy, Elsevier, vol. 220(C).

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