Modelación CFD de casos básicos de convección en ambientes cerrados: Necesidades de principiantes en CFD para adquirir habilidades y confianza en la modelación CFD

Cortés, Magdalena; Fazio, Paul; Rao, Jiwu; Bustamante, Waldo; Vera, Sergio

doi:10.4067/s0718-50732014000100002

Cited by 9 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In a more recent version of the k-ε model a group renormalization theory (RNG) is used [35]. The RNG model proposes a modification of the transport equation where the source term is solved as follows:…”

Section: Modeling Turbulencementioning

confidence: 99%

Impact of HVAC-Systems on the Dispersion of Infectious Aerosols in a Cardiac Intensive Care Unit

Anghel

Popovici

Stătescu

et al. 2020

IJERPH

View full text Add to dashboard Cite

At the end of 2019, a variation of a coronavirus, named SARS-CoV-2, has been identified as being responsible for a respiratory illness disease (COVID-19). Since ventilation is an important factor that influences airborne transmission, we proposed to study the impact of heating, ventilation and air-conditioning (HVAC) with a variable air volume (VAV) primary air system, on the dispersion of infectious aerosols, in a cardiac intensive care unit, using a transient simulation with computational fluid dynamics (CFD), based on the finite element method (FEM). We analyzed three scenarios that followed the dispersion of pathogen carrying expiratory droplets particles from coughing, from patients possibly infected with COVID-19, depending on the location of the patients in the intensive care unit. Our study provides the mechanism for spread of infectious aerosols, and possibly of COVID-19 infection, by air conditioning systems and also highlights important recommendations for disease control and optimization of ventilation in intensive care units, by increasing the use of outdoor air and the rate of air change, decreasing the recirculation of air and using high-efficiency particulate air (HEPA) filters. The CFD-FEM simulation approach that was applied in our study could also be extended to other targets, such as public transport, theaters, philharmonics and amphitheaters from educational units.

show abstract

Section: Modeling Turbulencementioning

confidence: 99%

Impact of HVAC-Systems on the Dispersion of Infectious Aerosols in a Cardiac Intensive Care Unit

Anghel

Popovici

Stătescu

et al. 2020

IJERPH

View full text Add to dashboard Cite

show abstract

“…After evaluating the overall performance, a mesh size of 240 × 80 was chosen for the CFD validation process. In Reference [37], several turbulence models, standard k − ε, RNG k − ε, realizable k − ε, standard k − ω, and SST k − ω, were adopted and compared for predicting flow patterns. Overall, the velocities predicted by all evaluated k − ε and k − ω models are in good agreement with the measured velocities.…”

Section: Verification and Validation With Benchmark Experimentsmentioning

confidence: 99%

“…Computational Settings and Parameters. The experiment depicted in Figure2was modeled in 2D based on the information provided by reference[37]. The problem was simulated by ANSYS Fluent 2022R2 and treated as a transient model with a time step size of 0.01 seconds.…”

mentioning

confidence: 99%

Airborne Pollutant Removal Effectiveness and Hidden Pollutant Source Identification of Bionic Ventilation Systems: Direct and Inverse CFD Demonstrations

Zhang,

Li,

Shang

et al. 2023

Indoor Air

View full text Add to dashboard Cite

A healthy and efficient ventilation system is essential for establishing a comfortable indoor environment and significantly reducing a building’s energy demand simultaneously. This paper proposed a novel ventilation system and applied it to the IEA Annex 20 mixing ventilation enclosure to verify its feasibility through mathematical modeling and CFD simulations. First, two bionic ventilation systems, single-side and dual-side ventilations, were compared to a conventional constant-volume supply system using CFD simulations, with the results demonstrating that the bionic ventilation system could provide higher ventilation efficiency and more effective pollutant removal from stagnant regions. Furthermore, the present work exercised these two bionic ventilation systems with different temporal periods of sine and rectangular wave functions, identifying a turning point at a period of 0.06 τ n , which could contribute to further enhancement of these bionic ventilation systems. Finally, a methodology depending on the Bayesian inference algorithm was developed for identifying pollution sources in the bionic ventilation system with unstable flow fields, and factors influencing source identification accuracy were discussed. The results show that the peaks of the KDE distributions and the sampling average values of both the source location and intensity are all consistent with the actual source parameters. The potential of the proposed bionic ventilation systems has been well demonstrated by direct and inverse CFD models, paving the way for further engineering applications.

show abstract

“…En la Figura 30 y en la Tabla 19, se muestran las temperaturas y los flujos de aire de la simulación CTF, para la hora y el día de la prueba, que serán acoplados como valores de contorno para las simulaciones CFD. Se ha utilizado el modelo de turbulencia k-ε para todos los cálculos de simulación CFD, tal como recomiendan estudios anteriores sobre la distribución del aire interior de zonas térmicas con bajas velocidades de circulación de aire [119]. La convergencia de los cálculos se ha producido con 6.000 y 10.000 iteraciones, en los modelos as-is STD y as-is T-BIM, respectivamente.…”

Section: Simulación Cfd Para Análisis De Confortunclassified

Análisis metodológico y experimental de modelos térmicos de edificios existentes.

Pérez Andreu

View full text Add to dashboard Cite

show abstract

Modelación CFD de casos básicos de convección en ambientes cerrados: Necesidades de principiantes en CFD para adquirir habilidades y confianza en la modelación CFD

Cited by 9 publications

References 7 publications

Impact of HVAC-Systems on the Dispersion of Infectious Aerosols in a Cardiac Intensive Care Unit

Impact of HVAC-Systems on the Dispersion of Infectious Aerosols in a Cardiac Intensive Care Unit

Airborne Pollutant Removal Effectiveness and Hidden Pollutant Source Identification of Bionic Ventilation Systems: Direct and Inverse CFD Demonstrations

Análisis metodológico y experimental de modelos térmicos de edificios existentes.

Contact Info

Product

Resources

About