Influence of air ceiling diffusers in enclosed spaces: An experimental and numerical investigation

Saad, Mina; William, Micheal A.; Hassan, Amr Ali; Hanafy, Ahmed A.

doi:10.1016/j.egyr.2023.05.253

Cited by 2 publications

(6 citation statements)

References 22 publications

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“…The simulation will take place in a workplace located in Alexandria, Egypt with an already tested and published research for air ow in various air ceiling diffusers [42]. The physical model used in this study represents an o ce space with speci c dimensions.…”

Section: Methodsmentioning

confidence: 99%

“…The model development and simulation process utilized the ANSYS package (Version 19.1), which is a software tool suitable for both qualitative and quantitative assessment of air ow and heat transfer within enclosed spaces. The existing HVAC system [42] served as the foundation for this model. The threedimensional (3D) geometry of the model was created using ANSYS-Design Modeler, providing precise control over the placement of diffusers.…”

Section: Methodsmentioning

confidence: 99%

“…The validation process was executed in two consecutive steps. First, the HVAC system was previously validated past research [42] With the concept of comparing measurements taken on site. Second, the validation of the cough particle transportation.…”

Section: Hvac and Cough Particle Validationmentioning

confidence: 99%

“…Comprehensive understanding of CFD modeling of uid ow and turbulence are found in [44]. The computational domain grid veri cation can be found in previous published article by k − ϵ authors [42]. As for the lagrangian model (cough model), the focus is on examining the droplets released during coughing.…”

Section: Euler Model (Air Model)mentioning

confidence: 99%

“…Extending the application of CFD modeling to COVID-19 research has provided crucial insights into virus transmission and prevention strategies [10], [11]. Despite outdoor social distancing measures, studies have revealed the potential for wind to carry saliva droplets up to 6 meters, emphasizing the importance of indoor ventilation in reducing the concentration of infected air.…”

Section: Introductionmentioning

confidence: 99%

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Can Airflow Manipulation Disrupt the Transmission of COVID-19 Variants and Highly Infectious Droplets?

Saad,

Hassan,

Hanafy

et al. 2024

Preprint

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In the ongoing battle against new variants of COVID-19 and airborne-transmitted diseases, the focus on indoor air quality, particularly in enclosed spaces, has intensified. This study utilizes computational fluid dynamics (CFD) modelling to investigate how different air distribution setups can impact the spread of airborne COVID-19 particles. Air distribution systems are at the forefront of this research, specifically examining supply and exhaust diffuser placements and their effects on droplet dispersion dynamics. Results reveal a promising reduction (10–21%) in residual droplet mass over a 10-second period when exhaust diffusers are strategically located above cough sources. This underscores the pivotal role of ventilation design in curbing airborne transmission. Furthermore, the analysis sheds light on variations (2.7–8.9%) in droplet Sauter mean diameter across different configurations, underscoring the significance of airflow patterns in dictating droplet size distribution and infection control efficacy. The study also emphasizes the importance of maintaining social distancing measures, showcasing a substantial decrease (82–89%) in viral concentration at a 2-meter distance, despite ventilation imperfections. In summary, this study highlights the critical role of ventilation design in combating airborne COVID-19 transmission within office environments. These findings offer valuable insights into optimizing airflow patterns, enhancing overall safety measures, and informing effective strategies to tackle the pandemic.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Hvac and Cough Particle Validationmentioning

confidence: 99%

Section: Euler Model (Air Model)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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