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A CFD-Based Parametric Thermal Performance Analysis of Supply Air Ventilated Windows

Author

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  • Shiva Najaf Khosravi

    (Department of Building Physics and Building Ecology, Vienna University of Technology, 1040 Vienna, Austria)

  • Ardeshir Mahdavi

    (Department of Building Physics and Building Ecology, Vienna University of Technology, 1040 Vienna, Austria)

Abstract

Ventilated windows have the potential to contribute to both indoor air quality and energy efficiency in cold climates. A typical ventilated window functions as a solar collector under inward air flow direction and incident solar radiation. The ventilated window is a modification of the multiple pane windows in which air is drawn in from outside and is heated through conduction, convection, and radiation in the cavity. In this study, a detailed parametric analysis was conducted to investigate the thermal performance of ventilated windows and their capacity to preheat ventilation air. High-resolution 3D steady RANS computational fluid dynamic (CFD) simulations were performed for six ventilated window geometries. Model results were compared with measurements. The following geometric characteristics were evaluated in detail: (i) The height of the window, (ii) the width of the cavity, (iii) the location of double-layered glazing, and (iv) the width of the supply air opening. The results suggested that taller cavities and a smaller cavity depth can provide higher incoming air temperature. Windows with inner double-layered glazing and a smaller width of supply air opening displayed a better thermal performance.

Suggested Citation

  • Shiva Najaf Khosravi & Ardeshir Mahdavi, 2021. "A CFD-Based Parametric Thermal Performance Analysis of Supply Air Ventilated Windows," Energies, MDPI, vol. 14(9), pages 1-20, April.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2420-:d:542316
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    References listed on IDEAS

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    1. Kyung-joo Cho & Dong-woo Cho, 2018. "Solar Heat Gain Coefficient Analysis of a Slim-Type Double Skin Window System: Using an Experimental and a Simulation Method," Energies, MDPI, vol. 11(1), pages 1-17, January.
    2. Ma, Peizheng & Wang, Lin-Shu & Guo, Nianhua, 2015. "Maximum window-to-wall ratio of a thermally autonomous building as a function of envelope U-value and ambient temperature amplitude," Applied Energy, Elsevier, vol. 146(C), pages 84-91.
    3. Jordi Parra & Alfredo Guardo & Eduard Egusquiza & Pere Alavedra, 2015. "Thermal Performance of Ventilated Double Skin Façades with Venetian Blinds," Energies, MDPI, vol. 8(6), pages 1-17, May.
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    Cited by:

    1. Shafaghat, A. & Keyvanfar, A., 2022. "Dynamic façades design typologies, technologies, measurement techniques, and physical performances across thermal, optical, ventilation, and electricity generation outlooks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    2. Anatoliy M. Pavlenko & Karolina Sadko, 2023. "Evaluation of Numerical Methods for Predicting the Energy Performance of Windows," Energies, MDPI, vol. 16(3), pages 1-23, February.
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    4. Salem Zeiny & Yassine Cherif & Stephane Lassue, 2023. "Analysis of the Thermo-Aeraulic Behavior of a Heated Supply Air Window in Forced Convection: Numerical and Experimental Approaches," Energies, MDPI, vol. 16(7), pages 1-27, April.

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