Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room
Air velocity is one of the key parameters affecting the sensation of thermal comfort. In mixing ventilation, the air is most often supplied above the occupied zone, and the air movement in a room is caused by jets that generate recirculating flows. An effective tool for predicting airflow in a room...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/5/1261 |
| _version_ | 1797264556100157440 |
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| author | Maria Hurnik Piotr Ciuman Zbigniew Popiolek |
| author_facet | Maria Hurnik Piotr Ciuman Zbigniew Popiolek |
| author_sort | Maria Hurnik |
| collection | DOAJ |
| description | Air velocity is one of the key parameters affecting the sensation of thermal comfort. In mixing ventilation, the air is most often supplied above the occupied zone, and the air movement in a room is caused by jets that generate recirculating flows. An effective tool for predicting airflow in a room is CFD numerical modeling. In order to reproduce the air velocity distribution, it is essential to select a proper turbulence model. In this paper, seven <i>Eddy–Viscosity RANS</i> turbulence models were used to carry out CFD simulations of a sidewall air jet supplied into a room through a wall diffuser. The goal was to determine which model was the most suitable to adopt in this type of airflow. The CFD results were validated using experimental data by comparing the gross and integral parameters, along with the parameters of the quasi-free jet model. The numerical results obtained for <i>Std k-ε</i> and <i>EVTM</i> models were most consistent with the measurements. Their error values slightly exceeded 15%. On the contrary, the <i>k-ω</i> and <i>RNG k-ε</i> models did not reproduce the quasi-free jet parameters correctly. The research findings can prove beneficial for simulating air distribution in supplied air jets during the initial conceptual phases of HVAC system design. |
| first_indexed | 2024-04-25T00:30:46Z |
| format | Article |
| id | doaj.art-1282c1eca536431cb88f3c9710ba7919 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-25T00:30:46Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1282c1eca536431cb88f3c9710ba79192024-03-12T16:43:55ZengMDPI AGEnergies1996-10732024-03-01175126110.3390/en17051261Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a RoomMaria Hurnik0Piotr Ciuman1Zbigniew Popiolek2Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, PolandFaculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, PolandFaculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44-100 Gliwice, PolandAir velocity is one of the key parameters affecting the sensation of thermal comfort. In mixing ventilation, the air is most often supplied above the occupied zone, and the air movement in a room is caused by jets that generate recirculating flows. An effective tool for predicting airflow in a room is CFD numerical modeling. In order to reproduce the air velocity distribution, it is essential to select a proper turbulence model. In this paper, seven <i>Eddy–Viscosity RANS</i> turbulence models were used to carry out CFD simulations of a sidewall air jet supplied into a room through a wall diffuser. The goal was to determine which model was the most suitable to adopt in this type of airflow. The CFD results were validated using experimental data by comparing the gross and integral parameters, along with the parameters of the quasi-free jet model. The numerical results obtained for <i>Std k-ε</i> and <i>EVTM</i> models were most consistent with the measurements. Their error values slightly exceeded 15%. On the contrary, the <i>k-ω</i> and <i>RNG k-ε</i> models did not reproduce the quasi-free jet parameters correctly. The research findings can prove beneficial for simulating air distribution in supplied air jets during the initial conceptual phases of HVAC system design.https://www.mdpi.com/1996-1073/17/5/1261ventilationair distributionsidewall jetCFD predictionvalidationeddy viscosity turbulence model |
| spellingShingle | Maria Hurnik Piotr Ciuman Zbigniew Popiolek Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room Energies ventilation air distribution sidewall jet CFD prediction validation eddy viscosity turbulence model |
| title | Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room |
| title_full | Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room |
| title_fullStr | Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room |
| title_full_unstemmed | Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room |
| title_short | Eddy–Viscosity Reynolds-Averaged Navier–Stokes Modeling of Air Distribution in a Sidewall Jet Supplied into a Room |
| title_sort | eddy viscosity reynolds averaged navier stokes modeling of air distribution in a sidewall jet supplied into a room |
| topic | ventilation air distribution sidewall jet CFD prediction validation eddy viscosity turbulence model |
| url | https://www.mdpi.com/1996-1073/17/5/1261 |
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