Numerical Investigation to Study the Effect of Inlet Inclination on the Turbulence Intensity of the Naturally Ventilated Room Using CFD

Ganesh, Ghogare Abhijeet; Sinha, Shobha Lata; Verma, Tikendra Nath; Dewangan, Satish Kumar

doi:10.1007/978-981-16-8341-1_49

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…From Figure 7, it can be seen the supply diffuser provides the space with airflow with a velocity around 1 m/s as illustrated by Figure 8. It's temperature about 298 K, and compared to case 1 as shown Figure 9, that corresponding to the 0 PMV value, while the area above the bed covered by the range of temperature from [301] to [304] K, which match up with the results of PPD, where (60-100)% of people are not satisfied with the temperature in this region, as shown in Figure 10 Meanwhile, the velocity result shows that adequate velocity is the foundation for thermal comfort (within the permitted velocity range) as shown in Figure 8 [36], and this is proved in both Figures 9 and 10…”

Section: The Validation Of the Numerical Solutionsupporting

confidence: 68%

Section: The Validation Of the Numerical Solutionsupporting

confidence: 61%

“…Figure 5 demonstrates a vertical line next to the patient where the temperature values are taken. The CFD simulations compare well with the experimental temperature results, with a relative error of less than 1.09%, as shown in Figure 6 [5,36,37]. To further guarantee that the findings of PMV and PPD are reasonable, a validation based on two other parameters (temperature and velocity) has been presented for case 1.…”

Section: The Validation Of the Numerical Solutionsupporting

confidence: 57%

“…As shown in Figure 2a, the inlet and outlet of this design are roof-mounted, at 1 m for the inlet and 0.5 m for the outlet from the side wall. Meanwhile, the velocity result shows that adequate velocity is the foundation for thermal comfort (within the permitted velocity range) as shown in Figure 8 [36], and this is proved in both Figures 9 and 10 (case 1).…”

Section: Cases 1 2 Andmentioning

confidence: 67%

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Impact of Diffuser Location on Thermal Comfort Inside a Hospital Isolation Room

Alkhalaf,

Ilinca,

Hayyani

et al. 2024

Designs

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Thermal comfort is increasingly recognized as vital in healthcare facilities, where patients spend 80–90% of their time indoors. Sensing, controlling, and predicting indoor air quality should be monitored for thermal comfort. This study examines the effects of ventilation design on thermal comfort in hospital rooms, proposing four distinct ventilation configurations, each with three airflow rates of 9, 12, and 15 Air Changes per Hour (ACH). The study conducted various ventilation simulation scenarios for a hospital room. The objective is to determine the effect of airflow and the diffuser location distribution on thermal comfort. The Reynolds-Averaged Navier–Stokes (RANS) equations, along with the k–ε turbulence model, were used as the underlying mathematical representation for the airflow. The boundary conditions for the simulations were derived from the ventilation standards set by the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE) and insights from previous studies. Thermal comfort and temperature distribution were assessed using indices like Predicted Percentage Dissatisfaction (PPD), Predicted Mean Vote (PMV), and Air Diffusion Performance Index (ADPI). Although most of the twelve scenarios failed to attain thermal comfort, two of those instances were optimal in this simulation. Those instances involved the return diffuser behind the patient and airflow of 9 ACH, the minimum recommended by previous studies. It should be noted that the ADPI remained unmet in these cases, revealing complexities in achieving ideal thermal conditions in healthcare environments. This study extends the insights from our prior research, advancing our understanding of ventilation impacts on thermal comfort in healthcare facilities. It underscores the need for comprehensive approaches to environmental control, setting the stage for future research to refine these findings further.

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Section: The Validation Of the Numerical Solutionsupporting

confidence: 68%

Section: The Validation Of the Numerical Solutionsupporting

confidence: 61%

Section: The Validation Of the Numerical Solutionsupporting

confidence: 57%

Section: Cases 1 2 Andmentioning

confidence: 67%

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