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Thermal zoning and window optimization framework for high-rise buildings

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  • Kahsay, Meseret T.
  • Bitsuamlak, Girma T.
  • Tariku, Fitsum

Abstract

Window sizing and configuration can have a significant influence on building energy consumption. Window selection often has a conflicting objective on heating, cooling, and lighting performance. The smaller window performs better on controlling heat loss in winter and solar heat gain in summer, while the larger window performs better on providing views, daylight, and solar heat gains in winter. Also, the energy consumption analyses of high-rise buildings have some fundamental limitations that include the changes in microclimate parameters with altitude, the treatment of building size, uncertainties associated with the existing convective heat transfer coefficients correlations (CHTC). This study provides a framework for simulation-based optimization of window configuration for a high-rise building to minimize its energy consumption. The technique involves CFD modeling to validate and develop new-CHTCs, a Building Energy Simulation used to assess the energy consumption using the newly developed CHTC, and a numerical optimizer for iterative optimal window configuration selection. The decision parameters are window size and room location. The thermal comfort temperature set points and daylight illuminance are taken as constraints. The proposed approach is implemented as a case study on a single by single room model basis positioned at different heights in an isolated 100 m tall building exposed to Boston, MA microclimate. For a room located on the 2nd, 15th, and 29th floor, an optimum window configuration of 30%, 48%, and 30%, window-to-wall ratio, respectively, are obtained.

Suggested Citation

  • Kahsay, Meseret T. & Bitsuamlak, Girma T. & Tariku, Fitsum, 2021. "Thermal zoning and window optimization framework for high-rise buildings," Applied Energy, Elsevier, vol. 292(C).
  • Handle: RePEc:eee:appene:v:292:y:2021:i:c:s0306261921003809
    DOI: 10.1016/j.apenergy.2021.116894
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    References listed on IDEAS

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    1. Nguyen, Anh-Tuan & Reiter, Sigrid & Rigo, Philippe, 2014. "A review on simulation-based optimization methods applied to building performance analysis," Applied Energy, Elsevier, vol. 113(C), pages 1043-1058.
    2. Lee, J.W. & Jung, H.J. & Park, J.Y. & Lee, J.B. & Yoon, Y., 2013. "Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements," Renewable Energy, Elsevier, vol. 50(C), pages 522-531.
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    Citations

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    Cited by:

    1. Xiaodan Huang & Qingyuan Zhang & Ineko Tanaka, 2021. "Optimization of Architectural Form for Thermal Comfort in Naturally Ventilated Gymnasium at Hot and Humid Climate by Orthogonal Experiment," Energies, MDPI, vol. 14(11), pages 1-18, May.
    2. Chi, Fang'ai & Xu, Ying & Wang, Xueru, 2022. "Transparent part design optimizations in buildings towards energy saving based on customized radiation sky dome model," Energy, Elsevier, vol. 253(C).
    3. Tarek M. Kamel & Amany Khalil & Mohammed M. Lakousha & Randa Khalil & Mohamed Hamdy, 2024. "Optimizing the View Percentage, Daylight Autonomy, Sunlight Exposure, and Energy Use: Data-Driven-Based Approach for Maximum Space Utilization in Residential Building Stock in Hot Climates," Energies, MDPI, vol. 17(3), pages 1-27, January.
    4. Haibo Yu & Hui Zhang & Xiaolin Han & Ningcheng Gao & Zikang Ke & Junle Yan, 2023. "An Empirical Study of a Passive Exterior Window for an Office Building in the Context of Ultra-Low Energy," Sustainability, MDPI, vol. 15(17), pages 1-23, September.
    5. Liu, Sai & Tso, Chi Yan & Du, Yu Wei & Chao, Luke Christopher & Lee, Hau Him & Ho, Tsz Chung & Leung, Michael Kwok Hi, 2021. "Bioinspired thermochromic transparent hydrogel wood with advanced optical regulation abilities and mechanical properties for windows," Applied Energy, Elsevier, vol. 297(C).
    6. Ke, Yujie & Tan, Yutong & Feng, Chengchen & Chen, Cong & Lu, Qi & Xu, Qiyang & Wang, Tao & Liu, Hai & Liu, Xinghai & Peng, Jinqing & Long, Yi, 2022. "Tetra-Fish-Inspired aesthetic thermochromic windows toward Energy-Saving buildings," Applied Energy, Elsevier, vol. 315(C).

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