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On the suitability of steady RANS CFD for forced mixing ventilation at transitional slot Reynolds numbers
Author(s) -
van Hooff T.,
Blocken B.,
van Heijst G. J. F.
Publication year - 2013
Publication title -
indoor air
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.387
H-Index - 99
eISSN - 1600-0668
pISSN - 0905-6947
DOI - 10.1111/ina.12010
Subject(s) - reynolds averaged navier–stokes equations , reynolds number , mixing (physics) , computational fluid dynamics , mechanics , environmental science , thermodynamics , physics , turbulence , quantum mechanics
Accurate prediction of ventilation flow is of primary importance for designing a healthy, comfortable, and energy‐efficient indoor environment. Since the 1970s, the use of computational fluid dynamics ( CFD ) has increased tremendously, and nowadays, it is one of the primary methods to assess ventilation flow in buildings. The most commonly used numerical approach consists of solving the steady R eynolds‐averaged N avier– S tokes ( RANS ) equations with a turbulence model to provide closure. This article presents a detailed validation study of steady RANS for isothermal forced mixing ventilation of a cubical enclosure driven by a transitional wall jet. The validation is performed using particle image velocimetry ( PIV ) measurements for slot Reynolds numbers of 1000 and 2500. Results obtained with the renormalization group ( RNG ) k ‐ε model, a low‐ R eynolds k ‐ε model, the shear stress transport ( SST ) k ‐ω model, and a R eynolds stress model ( RSM ) are compared with detailed experimental data. In general, the RNG k ‐ε model shows the weakest performance, whereas the low‐ R e k ‐ε model shows the best agreement with the measurements. In addition, the influence of the turbulence model on the predicted air exchange efficiency in the cubical enclosure is analyzed, indicating differences up to 44% for this particular case.