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Author:

Sun, Y. (Sun, Y..) | Li, Y. (Li, Y..) | Xu, W. (Xu, W..) | Wang, W. (Wang, W..) | Wei, W. (Wei, W..) | Zhang, C. (Zhang, C..)

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EI Scopus SCIE

Abstract:

Split-pane electrochromic (EC) windows enable the control of glare and the effective utilization of sunlight by adjusting the color of individual window panes. However, existing EC control methods are often limited to specific cases or require extensive simulation work, resulting in a deficiency of generic control approaches. To solve this issue, this paper proposed a novel approach to EC window zoning control based on glare prediction. This method evaluated real-time discomfort glare for each EC window pane and effectively adjusted the tinting state of the split panes to mitigate glare. A typical office setting in Beijing was selected to simulate the impact of utilizing this method on the light environment and energy conservation. The simulation results demonstrate that this approach could effectively keep the discomfort glare probability (DGP) below 0.4, which belongs to perceptible glare. Compared to EC whole window control, it reduced the tinting area multiplier hours by 63.64%–71.43%, managed UDI values within the range of 40%–90%, and reduced lighting energy consumption by over 40.98%. The results confirmed the accuracy of the proposed method in glare control, the improvement of the lighting environment, and the significant reduction in lighting energy consumption, enhancing its substantial energy-saving potential. © 2023 Elsevier Ltd

Keyword:

Energy saving Electrochromic window Visual environment Glare predictive control strategy

Author Community:

  • [ 1 ] [Sun Y.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, No.100 Pingleyuan Road, Chaoyang District, Beijing, 100124, China
  • [ 2 ] [Sun Y.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Li Y.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, No.100 Pingleyuan Road, Chaoyang District, Beijing, 100124, China
  • [ 4 ] [Li Y.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Xu W.]Qingdao Urban Architectural Design Institute Co., Ltd, No.247 Liaoning Road, Shibei District, Qingdao, 266000, China
  • [ 6 ] [Wang W.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, No.100 Pingleyuan Road, Chaoyang District, Beijing, 100124, China
  • [ 7 ] [Wang W.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 8 ] [Wang W.]Beijing Institute of Petrochemical Technology, No.19 Qingyuan Road, Daxing District, Beijing, 102627, China
  • [ 9 ] [Wei W.]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, No.100 Pingleyuan Road, Chaoyang District, Beijing, 100124, China
  • [ 10 ] [Wei W.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 11 ] [Zhang C.]Institute of Building Energy and Thermal Science, Henan University of Science and Technology, Luoyang, 471023, China

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Source :

Renewable Energy

ISSN: 0960-1481

Year: 2023

Volume: 218

8 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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