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Optimization of Window Positions for Wind-Driven Natural Ventilation Performance

Author

Listed:
  • Nari Yoon

    (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA)

  • Mary Ann Piette

    (Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA)

  • Jung Min Han

    (Graduate School of Design, Harvard University, Cambridge, MA 02138, USA)

  • Wentao Wu

    (Department of Civil & Architectural Engineering, College of Engineering, Tennessee State University, Nashville, TN 37209, USA)

  • Ali Malkawi

    (Graduate School of Design, Harvard University, Cambridge, MA 02138, USA)

Abstract

This paper optimizes opening positions on building facades to maximize the natural ventilation’s potential for ventilation and cooling purposes. The paper demonstrates how to apply computational fluid dynamics (CFD) simulation results to architectural design processes, and how the CFD-driven decisions impact ventilation and cooling: (1) background: A CFD helps predict the natural ventilation’s potential, the integration of CFD results into design decision-making has not been actively practiced; (2) methods: Pressure data on building facades were obtained from CFD simulations and mapped into the 3D modeling environment, which were then used to identify optimal positions of two openings of a zone. The effect of the selected opening positions was validated with building energy simulations; (3) results: The cross-comparison study of different window positions based on different geographical locations quantified the impact on natural ventilation effectiveness; and (4) conclusions: The optimized window position was shown to be effective, and some optimal solutions contradicted the typical cross-ventilation strategy.

Suggested Citation

  • Nari Yoon & Mary Ann Piette & Jung Min Han & Wentao Wu & Ali Malkawi, 2020. "Optimization of Window Positions for Wind-Driven Natural Ventilation Performance," Energies, MDPI, vol. 13(10), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:10:p:2464-:d:357868
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    References listed on IDEAS

    as
    1. Kyung Sun Lee & Ki Jun Han & Jae Wook Lee, 2016. "Feasibility Study on Parametric Optimization of Daylighting in Building Shading Design," Sustainability, MDPI, vol. 8(12), pages 1-16, November.
    2. Halil Alibaba, 2016. "Determination of Optimum Window to External Wall Ratio for Offices in a Hot and Humid Climate," Sustainability, MDPI, vol. 8(2), pages 1-21, February.
    3. Pilechiha, Peiman & Mahdavinejad, Mohammadjavad & Pour Rahimian, Farzad & Carnemolla, Phillippa & Seyedzadeh, Saleh, 2020. "Multi-objective optimisation framework for designing office windows: quality of view, daylight and energy efficiency," Applied Energy, Elsevier, vol. 261(C).
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    Cited by:

    1. Nayara Rodrigues Marques Sakiyama & Jurgen Frick & Timea Bejat & Harald Garrecht, 2021. "Using CFD to Evaluate Natural Ventilation through a 3D Parametric Modeling Approach," Energies, MDPI, vol. 14(8), pages 1-27, April.
    2. Hala Sirror, 2024. "Innovative Approaches to Windcatcher Design: A Review on Balancing Tradition Sustainability and Modern Technologies for Enhanced Performance," Energies, MDPI, vol. 17(22), pages 1-27, November.
    3. Nayara R. M. Sakiyama & Joyce C. Carlo & Leonardo Mazzaferro & Harald Garrecht, 2021. "Building Optimization through a Parametric Design Platform: Using Sensitivity Analysis to Improve a Radial-Based Algorithm Performance," Sustainability, MDPI, vol. 13(10), pages 1-25, May.
    4. Piotr Michalak, 2022. "Thermal—Airflow Coupling in Hourly Energy Simulation of a Building with Natural Stack Ventilation," Energies, MDPI, vol. 15(11), pages 1-18, June.

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