Open Access
Issue
E3S Web Conf.
Volume 672, 2025
The 17th ROOMVENT Conference (ROOMVENT 2024)
Article Number 01003
Number of page(s) 8
Section Indoor Climate: Health Aspects
DOI https://doi.org/10.1051/e3sconf/202567201003
Published online 05 December 2025
  1. W. Chen, N. Zhang, J. Wei, H.-L. Yen, and Y. Li, Short-range airborne route dominates exposure of respiratory infection during close contact, Build Environ 176, 106859 (2020). [Google Scholar]
  2. Z. Ai, K. Hashimoto, and A. K. Melikov, Airborne transmission between room occupants during short-term events: Measurement and evaluation, Indoor Air 29, 563–576 (2019). [Google Scholar]
  3. Z. T. Ai and A. K. Melikov, Airborne spread of expiratory droplet nuclei between the occupants of indoor environments: A review, Indoor Air 28, 500–524 (2018). [CrossRef] [PubMed] [Google Scholar]
  4. B. Yang et al. A review of advanced air distribution methods - Theory, practice, limitations and solutions, Energy Build 202, 109359 (2019). [Google Scholar]
  5. P. O. Fanger, Introduction of the olf and the decipol units to quantify air pollution perceived by humans indoors and outdoors, Energy Build 12, 1–6, (1988). [Google Scholar]
  6. Y. Cheng, J. Niu, and N. Gao, Stratified air distribution systems in a large lecture theatre: A numerical method to optimize thermal comfort and maximize energy saving, Energy Build 55, 515–525 (2012). [CrossRef] [Google Scholar]
  7. P. Ole Fanger, Human requirements in future air- conditioned environments, in Advances in Building Technology, 29–38 (2002). [Google Scholar]
  8. M. Fan et al., “A review of different ventilation modes on thermal comfort, air quality and virus spread control, Build Environ 212, 108831 (2022). [Google Scholar]
  9. Z. T. Ai, T. Huang, and A. K. Melikov, Airborne transmission of exhaled droplet nuclei between occupants in a room with horizontal air distribution, Build Environ 163, 106328 (2019). [Google Scholar]
  10. Y. Xie et al., The assessment of personal exposure in restaurants considering heat sources and ventilation strategies, Energy Build (2023). [Google Scholar]
  11. J. Cho, Investigation on the contaminant distribution with improved ventilation system in hospital isolation rooms: Effect of supply and exhaust air diffuser configurations, Appl. Therm. Eng 148, 208–218 (2019). [Google Scholar]
  12. J. Ye, Z. Ai, and Y. Chang, Aerosol transmission in queuing and dining scenarios in canteens and the effectiveness of control measures, J Build Perform Simul, 1–20 (2023). [Google Scholar]
  13. A. K. Melikov, “Human body micro-environment: The benefits of controlling airflow interaction,” Building and Environment, vol. 91, pp. 70–77, 2015, doi: 10.1016/j.buildenv.2015.04.010. [Google Scholar]
  14. A. Jurelionis et al., The impact of the air distribution method in ventilated rooms on the aerosol particle dispersion and removal: The experimental approach, Energy Build 86, 305–313 (2015) [Google Scholar]
  15. Y. Zhang et al., The impact of air change rate on the air quality of surgical microenvironment in an operating room with mixing ventilation, J. Build. Eng 32, 101770 (2020). [Google Scholar]
  16. K. Xue et al., Experimental study on the effect of exhaust airflows on the surgical environment in an operating room with mixing ventilation, J. Build. Eng 32, 101837 (2020). [Google Scholar]
  17. D. Licina, J. Pantelic, A. Melikov, C. Sekhar, and K. W. Them, Experimental investigation of the human convective boundary layer in a quiescent indoor environment, Build Environ 75, 79–91 (2014). [Google Scholar]
  18. F. A. Berlanga, I. Olmedo, M. R. de Adana, J. M. Villafruela, J. S. José, and F. Castro, Experimental assessment of different mixing air ventilation systems on ventilation performance and exposure to exhaled contaminants in hospital rooms, Energy Build 177, 207–219 (2018). [Google Scholar]
  19. J. Zong, J. Liu, Z. Ai, and M. K. Kim, A review of human thermal plume and its influence on the inhalation exposure to particulate matter, Indoor Built Environ 31, 1758–1774 (2022). [Google Scholar]
  20. Z Z. Liu, T. Wang, Y. Wang, H. Liu, G. Cao, and S. Tang, the influence of air supply inlet location on the spatial-temporal distribution of bioaerosol in isolation ward under three mixed ventilation modes, EBE 4, 445–457 (2023). [Google Scholar]
  21. G. Pei, M. Taylor, and D. Rim, Human exposure to respiratory aerosols in a ventilated room: Effects of ventilation condition, emission mode, and social distancing, Sustain Cities Soc 73, 103090 (2021). [Google Scholar]
  22. Z. Jiao, S. Yuan, C. Ji, M. S. Mannan, and Q. Wang, Optimization of dilution ventilation layout design in confined environments using Computational Fluid Dynamics (CFD), J Loss Prev Process Ind 60, 95–202 (2019). [Google Scholar]
  23. G. Feng, Y. Bi, Y. Zhang, Y. Cai, and K. Huang, Study on the motion law of aerosols produced by human respiration under the action of thermal plume of different intensities, Sustain Cities Soc 54, 101935 (2020). [Google Scholar]
  24. H. Alsaad and C. Voelker, Performance evaluation of ductless personalized ventilation in comparison with desk fans using numerical simulations, Indoor Air 30, 776–789 (2020). [Google Scholar]
  25. H. Alsaad and C. Voelker, Could the ductless personalized ventilation be an alternative to the regular ducted personalized ventilation? Indoor Air 31, no. 1, 99–111 (2021). [Google Scholar]
  26. H. Alsaad and C. Voelker, Performance assessment of a ductless personalized ventilation system using a validated CFD model, J Build Perform Simul 11, 689–704 (2018). [Google Scholar]
  27. H. Alsaad and C. Voelker, Qualitative evaluation of the flow supplied by personalized ventilation using schlieren imaging and thermography, Build Environ 167, 106450 (2020). [Google Scholar]
  28. C. Xu, P. V. Nielsen, L. Liu, R. L. Jensen, and G. Gong, Human exhalation characterization with the aid of schlieren imaging technique, Build Environ 112, 190–199 (2017). [Google Scholar]
  29. A. Melikov and J. Kaczmarczyk, “Measurement and prediction of indoor air quality using a breathing thermal manikin, Indoor Air 17, pp. 50–59 (2007). [CrossRef] [PubMed] [Google Scholar]
  30. C. Habchi, K. Ghali, N. Ghaddar, W. Chakroun, and S. Alotaibi, Ceiling personalized ventilation combined with desk fans for reduced direct and indirect cross-contamination and efficient use of office space, Energy Convers Manag 111, 158– 173 (2016). [Google Scholar]
  31. M. Bivolarova, J. Ondráček, A. Melikov, and V. Ždímal, A comparison between tracer gas and aerosol particles distribution indoors: The impact of ventilation rate, interaction of airflows, and presence of objects, Indoor Air 27, 1201–1212, (2017). [CrossRef] [PubMed] [Google Scholar]
  32. Z. Ai, C. M. Mak, N. Gao, and J. Niu, Tracer gas is a suitable surrogate of exhaled droplet nuclei for studying airborne transmission in the built environment, Build. Simul 13, 489–496 (2020). [Google Scholar]
  33. I. J. Al-Rikabi, H. Alsaad, P. Nejat, and C. Voelker, A comprehensive review on mitigating the risk of airborne particles using add-on systems, Build Environ 246, 110983 (2023). [Google Scholar]
  34. E. Katramiz, N. Ghaddar, and K. Ghali, Novel personalized chair-ventilation design integrated with displacement ventilation for cross- contamination mitigation in classrooms, Build Environ 213, 108885 (2022). [Google Scholar]
  35. W. Kierat, M. Bivolarova, E. Zavrl, Z. Popiolek, and A. Melikov, “Accurate assessment of exposure using tracer gas measurements, Build Environ 131, 163–173 (2018). [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.