Comparison of the wake recovery of the axial-flow and cross-flow turbine concepts

Boudreau, Matthieu; Dumas, Guy

doi:10.1016/j.jweia.2017.03.010

Cited by 67 publications

(48 citation statements)

References 73 publications

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“…Among such studies, Paik et al [7] compared the performances of the URANS approach to different DES methodologies for the flow around two wall-mounted cubes in tandem, Nasif et al [8] investigated the wake characteristics of sharp-edged bluff body in a shallow flow, Muld et al [9] observed the flow structures in the wake of a high-speed train and Muscari et al [1] used this approach to study the wake of a marine propeller and observed a good agreement with the experimental results of Felli et al [10]. Lastly, the authors of the current work have also used this turbulence modeling approach to study the vortex dynamics and the wake recovery of two different types of hydrokinetic turbines, namely the horizontal axis and the vertical axis turbines [11].…”

Section: Introductionsupporting

confidence: 51%

Assessing the Ability of the DDES Turbulence Modeling Approach to Simulate the Wake of a Bluff Body

2017

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Abstract:A detailed numerical investigation of the flow behind a square cylinder at a Reynolds number of 21,400 is conducted to assess the ability of the delayed detached-eddy simulation (DDES) modeling approach to accurately predict the velocity recovery in the wake of a bluff body. Three-dimensional unsteady Reynolds-averaged Navier-Stokes (URANS) and DDES simulations making use of the Spalart-Allmaras turbulence model are carried out using the open-source computational fluid dynamics (CFD) toolbox OpenFOAM-2.1.x, and are compared with available experimental velocity measurements. It is found that the DDES simulation tends to overestimate the averaged streamwise velocity component, especially in the near wake, but a better agreement with the experimental data is observed further downstream of the body. The velocity fluctuations also match reasonably well with the experimental data. Moreover, it is found that the spanwise domain length has a significant impact on the flow, especially regarding the fluctuations of the drag coefficient. Nonetheless, for both the averaged and fluctuating velocity components, the DDES approach is shown to be superior to the URANS approach. Therefore, for engineering purposes, it is found that the DDES approach is a suitable choice to simulate and characterize the velocity recovery in a wake.

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Section: Introductionsupporting

confidence: 51%

Assessing the Ability of the DDES Turbulence Modeling Approach to Simulate the Wake of a Bluff Body

2017

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“…Several recent studies are devoted to the measurement of the efficiency of straight-bladed CFTs, either in wind or marine applications. 5–7 For instance, Bravo et al, 8 Takao et al, 9 and Bachant and Wosnik 10 using a turbine with a similar solidity ( σ = Nc / π D ) in the range from 0.13 to 0.16, at several Reynolds numbers based on the turbine diameter ( R e D = u ∞ D / ν ) from 3 . 2 × 10 5 to 1 . 7 × 10 6 , obtained similar performance curves. Here, N is the number of blades, c the blade chord, D the rotor diameter, u ∞ the freestream velocity, and ν the fluid kinematic viscosity.…”

Section: Introductionmentioning

confidence: 83%

The effect of blade pitch on the flow dynamics inside the rotor of a three-straight-bladed cross-flow turbine

Somoano

Huera-Huarte

2018

Proceedings of the IMechE

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This study analyses the variations in flow dynamics inside the rotor of a three-straight-bladed cross-flow turbine for different blade pitches. A water towing tank facility has been used with a turbine model based on symmetric NACA-0015 profiles with a chord-to-diameter ratio of 0.16. The set-up was especially designed to measure the flow field inside and around the rotor, using planar digital particle image velocimetry. The experiments were made at a constant turbine diameter Reynolds number, [Formula: see text], of 6.1 × 104. The forced rotation of the cross-flow turbine using a direct current motor allowed changes in the ratio of the blade tangential speed to the freestream velocity (tip speed ratio), covering the range of 0.7–2.3. Toe-in and excessive toe-out angles have been associated in the past to low performances in this type of turbines. Pitch angle cases with expected low performances have been chosen, namely, [Formula: see text] of 8° toe-in and 16° toe-out, as well as a case with a high expected efficiency of 8° toe-out and another with [Formula: see text] as the reference case. The the goal is to better understand the flow dynamics and the blade–wake interactions inside the rotor of this type of machines, by studying cases with very different expected performances.

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“…AbdelSalam et al [23] performed experimental procedure and numerical simulation considering a FRM, RANS k-ε modified for atmospheric flows, 2 MW wind turbine SODAR upstream measurements, and wake LIDAR (Light Detection and Ranging) measurements at downstream distances from 2 to 7 diameters. Boudreau et al [24] studied the axial-flow and cross-flow configurations operating at respective optimal efficiency, with Reynolds' number around 10 7 , 3D DES (Detached-Eddy Simulation), and Unsteady RANS. Ammara et al [25] developed a RANS steady CVFEM (Control Volume Finite-Element Method) model, considering a two-row periodic wind farm in a neutral ABL.…”

Section: Nrel 5 Mwmentioning

confidence: 99%

Development of a Computational System to Improve Wind Farm Layout, Part II: Wind Turbine Wakes Interaction

Rodrigues

Lengsfeld

2019

Energies

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The second part of this work describes a wind turbine Computational Fluid Dynamics (CFD) simulation capable of modeling wake effects. The work is intended to establish a computational framework from which to investigate wind farm layout. Following the first part of this work that described the near wake flow field, the physical domain of the validated model in the near wake was adapted and extended to include the far wake. Additionally, the numerical approach implemented allowed to efficiently model the effects of the wake interaction between rows in a wind farm with reduced computational costs. The influence of some wind farm design parameters on the wake development was assessed: Tip Speed Ratio (TSR), free-stream velocity, and pitch angle. The results showed that the velocity and turbulence intensity profiles in the far wake are dependent on the TSR. The wake profile did not present significant sensitivity to the pitch angle for values kept close to the designed condition. The capability of the proposed CFD model showed to be consistent when compared with field data and kinematical models results, presenting similar ranges of wake deficit. In conclusion, the computational models proposed in this work can be used to improve wind farm layout considering wake effects.

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Comparison of the wake recovery of the axial-flow and cross-flow turbine concepts

Cited by 67 publications

References 73 publications

Assessing the Ability of the DDES Turbulence Modeling Approach to Simulate the Wake of a Bluff Body

Assessing the Ability of the DDES Turbulence Modeling Approach to Simulate the Wake of a Bluff Body

The effect of blade pitch on the flow dynamics inside the rotor of a three-straight-bladed cross-flow turbine

Development of a Computational System to Improve Wind Farm Layout, Part II: Wind Turbine Wakes Interaction

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