IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i14p5101-d861689.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/14/5101/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/15/14/5101/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Huiuk Yi & Minsik Kim & Dongkil Lee & Jongmyung Park, 2022. "Applications of Computational Fluid Dynamics for Mine Ventilation in Mineral Development," Energies, MDPI, vol. 15(22), pages 1-24, November.
    2. Behnam Zakeri, 2024. "Digitalization for Resilient and Sustainable Energy Transitions," Energies, MDPI, vol. 17(21), pages 1-4, October.
    3. Łukasz J. Orman & Natalia Krawczyk & Norbert Radek & Stanislav Honus & Jacek Pietraszek & Luiza Dębska & Agata Dudek & Artur Kalinowski, 2023. "Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings," Energies, MDPI, vol. 16(18), pages 1-21, September.
    4. Jierui Dong & Nigel Goodman & Priyadarsini Rajagopalan, 2023. "A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools," IJERPH, MDPI, vol. 20(15), pages 1-18, July.
    5. Dimosthenis Kotsopoulos, 2022. "Organizational Energy Conservation Matters in the Anthropocene," Energies, MDPI, vol. 15(21), pages 1-30, November.
    6. Piotr Michalak, 2022. "Thermal Network Model for an Assessment of Summer Indoor Comfort in a Naturally Ventilated Residential Building," Energies, MDPI, vol. 15(10), pages 1-19, May.
    7. Adam Nored & Xianqiang Fu & Rui Qi & Namuun Batbaatar & Chunrong Jia, 2024. "Volatile Organic Compound (VOC) Contamination in Hotel Rooms: A Pilot Study to Understand Sources and Health Risks," IJERPH, MDPI, vol. 21(11), pages 1-13, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5101-:d:861689. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.