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Natural Ventilation and Aerosol Particles Dispersion Indoors

Author

Listed:
  • Talib Dbouk

    (IMT Nord Europe, Institut Mines-Télécom, University of Lille, Centre for Energy and Environment, F-59000 Lille, France)

  • Dimitris Drikakis

    (Medical School, University of Nicosia, Nicosia CY-2417, Cyprus)

Abstract

Aerosol pollutant particles indoors significantly affect public health. The conventional wisdom is that natural ventilation will alleviate the dispersion of airborne or aerosol particles. However, we show that the problem is far more complex and that natural ventilation should be applied under specific conditions to be effective. We performed several simulations of a simplified (and easily reproducible) room with a window opening and aerosol particles stratified layers. Opening a window can scatter particles present in stratified layers indoors and potentially contribute to the degradation of indoor air quality for a significant period of time. Moreover, we show that thermal instabilities arising from the temperature gradients due to temperature differences between the indoor and outdoor environment spread the particles randomly indoors, adversely affecting air quality and architectural design. Recommendations for more efficient natural ventilation minimizing aerosol pollutant particles dispersed indoors are provided.

Suggested Citation

  • Talib Dbouk & Dimitris Drikakis, 2022. "Natural Ventilation and Aerosol Particles Dispersion Indoors," Energies, MDPI, vol. 15(14), pages 1-11, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5101-:d:861689
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    References listed on IDEAS

    as
    1. Tomasz Janoszek & Zbigniew Lubosik & Lucjan Świerczek & Andrzej Walentek & Jerzy Jaroszewicz, 2021. "Experimental and CFD Simulations of the Aerosol Flow in the Air Ventilating the Underground Excavation in Terms of SARS-CoV-2 Transmission," Energies, MDPI, vol. 14(16), pages 1-23, August.
    2. Dominik Bekierski & Krystyna Barbara Kostyrko, 2021. "The Influence of Outdoor Particulate Matter PM 2.5 on Indoor Air Quality: The Implementation of a New Assessment Method," Energies, MDPI, vol. 14(19), pages 1-30, September.
    3. Jeeheon Kim & Yongsug Hong & Namchul Seong & Daeung Danny Kim, 2022. "Assessment of ANN Algorithms for the Concentration Prediction of Indoor Air Pollutants in Child Daycare Centers," Energies, MDPI, vol. 15(7), pages 1-17, April.
    4. Marek Borowski & Klaudia Zwolińska & Marcin Czerwiński, 2022. "An Experimental Study of Thermal Comfort and Indoor Air Quality—A Case Study of a Hotel Building," Energies, MDPI, vol. 15(6), pages 1-18, March.
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