Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Computational fluid dynamics and room air movement.

P V Nielsen1

  • 1Aalborg University and International Center for Indoor Environment and Energy, Denmark. pvn@civil.auc.dk

Indoor Air
|August 28, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Three dimensional analysis of the exhalation flow in the proximity of the mouth.

Heliyon·2024
Same author

Dismantling myths on the airborne transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).

The Journal of hospital infection·2021
Same author

Detection of Viable Ascospores of Neosartorya.

Journal of food protection·2019
Same author

Short-range airborne transmission of expiratory droplets between two people.

Indoor air·2016
Same author

Protected zone ventilation and reduced personal exposure to airborne cross-infection.

Indoor air·2014
Same author

Influence of air stability and metabolic rate on exhaled flow.

Indoor air·2014

Computational Fluid Dynamics (CFD) improves building design by enhancing thermal comfort and indoor air quality. Accurate CFD predictions require careful consideration of numerical schemes, boundary conditions, and turbulence models for reliable results.

Area of Science:

  • Building Science
  • Environmental Engineering
  • Computational Physics

Background:

  • Computational Fluid Dynamics (CFD) is crucial for analyzing energy consumption, thermal comfort, and indoor air quality in buildings.
  • Advancements in CFD are vital for optimizing indoor environments.

Purpose of the Study:

  • To evaluate the quality of CFD predictions for indoor environments.
  • To assess the impact of numerical schemes and boundary conditions on simulation accuracy.

Main Methods:

  • Analysis of the Smith and Hutton problem for mass fraction transport.
  • Investigation of numerical diffusion effects.
  • Discussion of boundary condition simulations (Air Terminal Devices, furnishings, occupants).
  • Comparison of turbulence models (k-epsilon, V2-f, Reynolds Stress) for wall jet flow.

Related Experiment Videos

Main Results:

  • The study examines the accuracy of first, second, and third-order schemes in CFD simulations.
  • Numerical diffusion significantly impacts the simulation of supply openings.
  • Different turbulence models yield varying predictions for room airflow.

Conclusions:

  • CFD is a widely adopted design tool for room air distribution.
  • Achieving accurate predictions necessitates attention to the quality of CFD analysis.
  • Appropriate selection of supply opening descriptions, occupied zone details, and turbulence models is essential for practical CFD applications.