RANS Modelling of a NACA4412 Wake Using Wind Tunnel Measurements

Tabatabaei N, Hajipour M, Mallor F, Orlu R, Vinuesa R, Schlatter P (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Fluids MDPI

Book Volume: 7

Article Number: 153

Journal Issue: 5

DOI: 10.3390/fluids7050153

Abstract

Wake analysis plays a significant role in wind-farm planning through the evaluation of losses and energy yield. Wind-tunnel tests for wake studies have high costs and are time-consuming. Therefore, computational fluid dynamics (CFD) emerges as an efficient alternative. An especially attractive approach is based on the solution of the Reynolds-averaged Navier–Stokes (RANS) equations with two-equation turbulence closure models. The validity of this approach and its inherent limitations, however, remain to be fully understood. To this end, detailed wind-tunnel experiments in the wake of a NACA4412 wing section profile are compared with CFD results. Two-and three-dimensional RANS simulations are carried out for a range of angles of attack up to stall conditions at a chord-and inflow-based Reynolds number of Rec = 4 × 105. Here, we aim to investigate the wake characteristics and self-similar behaviour, both from the experimental and numerical perspectives. The measurements are carried out by means of hot-wire anemometry capturing the wake pattern in several planes. The sensitivity of the CFD model to different configurations of the setup and the considerations required for reliable simulation are discussed. The agreement between CFD, experiments, and the literature is fairly good in many aspects, including the self-similar behaviour and wake parameters, as well as the flow field. Comparison of experiments with URANS/RANS data indicates that the latter is an adequate methodology to characterize wings and their wakes once the CFD setup is designed appropriately and the limitations due to discretization and turbulence modelling are considered.

Authors with CRIS profile

Philipp Schlatter

Involved external institutions

Royal Institute of Technology / Kungliga Tekniska Högskolan (KTH) SE Sweden (SE) Sharif University of Technology / دانشگاه صنعتی شریف (SUT) IR Iran, Islamic Republic of (IR)

How to cite

APA:

Tabatabaei, N., Hajipour, M., Mallor, F., Orlu, R., Vinuesa, R., & Schlatter, P. (2022). RANS Modelling of a NACA4412 Wake Using Wind Tunnel Measurements. Fluids, 7(5). https://doi.org/10.3390/fluids7050153

MLA:

Tabatabaei, Narges, et al. "RANS Modelling of a NACA4412 Wake Using Wind Tunnel Measurements." Fluids 7.5 (2022).

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