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Heat transfer model for energy-active windows – An evaluation of efficient reuse of waste heat in buildings

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  • Nourozi, Behrouz
  • Ploskić, Adnan
  • Chen, Yuxiang
  • Ning-Wei Chiu, Justin
  • Wang, Qian

Abstract

Minimizing thermal losses through windows and maintaining large glazing areas to provide adequate natural lighting in residential buildings are essential considerations for modern architecture, sustainability, and indoor comfort. In this study, a detailed heat transfer model for a novel energy-active window (EAW) is developed and validated to rate its thermal performance. An EAW utilizes low-grade heat to reduce building heat losses during the winter season. A thorough literature review was conducted to select the correct heat-transfer correlations for the investigated configuration. A two-dimensional finite differencing scheme was applied to approximate the vertical and horizontal temperature distribution across the EAW. Detailed temperature gradients, across the height and width of the window, were obtained. Thorough sensitivity analyses of the governing parameters were conducted to evaluate the windows’ thermal performance. The results indicate that EAWs have the potential to reduce heating power demand by approximately 2.2 W/m2floor area and 1.3 W/m2floor area at outdoor temperatures of −20 °C and −5 °C, respectively, for buildings with a window-to-floor area ratio of 10%. This potential increases proportionally with the ratio. The highest thermal efficiency of EAW is achieved when the temperature of the supplied air inside the EAW is equal to or above room temperature.

Suggested Citation

  • Nourozi, Behrouz & Ploskić, Adnan & Chen, Yuxiang & Ning-Wei Chiu, Justin & Wang, Qian, 2020. "Heat transfer model for energy-active windows – An evaluation of efficient reuse of waste heat in buildings," Renewable Energy, Elsevier, vol. 162(C), pages 2318-2329.
    • Handle: RePEc:eee:renene:v:162:y:2020:i:c:p:2318-2329
    DOI: 10.1016/j.renene.2020.10.043
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    References listed on IDEAS

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    1. Michaux, Ghislain & Greffet, Rémy & Salagnac, Patrick & Ridoret, Jean-Baptiste, 2019. "Modelling of an airflow window and numerical investigation of its thermal performances by comparison to conventional double and triple-glazed windows," Applied Energy, Elsevier, vol. 242(C), pages 27-45.
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    Cited by:

    1. Borys Basok & Anatoliy Pavlenko & Volodymyr Novikov & Hanna Koshlak & Anita Ciosek & Maryna Moroz, 2024. "Comprehensive Investigation of the Thermal Performance of an Electrically Heated Double-Glazed Window: A Theoretical and Experimental Approach," Energies, MDPI, vol. 17(17), pages 1-18, September.
    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.
    3. Borys Basok & Borys Davydenko & Volodymyr Novikov & Anatoliy M. Pavlenko & Maryna Novitska & Karolina Sadko & Svitlana Goncharuk, 2022. "Evaluation of Heat Transfer Rates through Transparent Dividing Structures," Energies, MDPI, vol. 15(13), pages 1-16, July.
    4. Liu, Wenjie & Chow, Tin-tai, 2021. "Performance analysis of liquid-flow-window with submerged heat exchanger," Renewable Energy, Elsevier, vol. 168(C), pages 319-331.
    5. Behzadi, Amirmohammad & Sadrizadeh, Sasan, 2023. "Grid-tied solar and biomass hybridization for multi-family houses in Sweden: An optimal rule-based control framework through machine learning approach," Renewable Energy, Elsevier, vol. 218(C).

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