Numerical simulation of the interaction between tandem wind turbines

Sreenivas, Kidambi; Mittal, Anshul; Hereth, Levi; Taylor, Lafayette K.; Hilbert, Christopher B.

doi:10.1016/j.jweia.2016.09.003

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Rosenberg et al [51] extended efforts of the Vortex Lattice Method (VLM) to analyze aerodynamics of dual-rotor wind turbines. Sreenivas et al [52] studied the interaction between two wind turbines (NREL S826 airfoils) operating in tandem for TSR of 2.5, 4, and 7 in a wind tunnel speed at 10 m•s −1 . Larsen et al [53] reviewed several studies in wake aerodynamics.…”

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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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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“…Sreenivas et al 30 showed that it is possible to reproduce accurately two interacting wind turbines with blade-resolved numerical simulations, even if the downstream turbine is located as near as 3D from the upstream turbine. Mycek et al 31 investigated turbine-wake interaction more thoroughly by comparing the upstream and downstream turbines, by varying the distance between the two turbines and by including the effect of upstream turbulence conditions.…”

Section: Introductionmentioning

confidence: 99%

A numerical study on the interaction between two cross-flow turbines in tandem configuration to support a simplified turbine model approach

Tremblay

Dumas

2020

Journal of Renewable and Sustainable Energy

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In the planning of hydrokinetic turbine array deployment and for the performance prediction of its constituent turbines, the use of simplified turbine models is essential to alleviate the computational costs. The Effective Performance Turbine Model (EPTM) introduced in 2018 is a promising tool for that purpose, allowing array analysis and optimization. Its performance predictions scale with a local flow velocity characterization, which ensures to take into account inherently blockage effects and mean, local flow conditions. However, the characteristics of the local flow within an array also include different types of perturbation such as shear, large-scale temporal fluctuations, and turbulence. To ensure that the model is still reliable in those conditions, this paper presents a validation of the EPTM through the analysis of a large-scale tandem turbine configuration. In fact, three unsteady-Reynolds-averaged-Navier–Stokes simulations of a cross-flow turbine tandem configuration with a longitudinal spacing of six diameters have been conducted in this study, in addition to a simulation of a single turbine with turbulent ambient conditions. This set of simulations allows us to study independently the different types of perturbations associated with array deployment. Whereas the slow-varying large-scale upstream velocity fluctuations do not seem to affect significantly the turbine operation, the upstream non-uniform velocity distribution affects appreciably the extracted power. We find also that the value of the effective power coefficient associated with the EPTM needs to be adapted to the array simulation. Compared to the case of a single turbine in a uniform flow with a low turbulence level, we show that a smaller effective power coefficient value must be used in array simulations. An important result is that the different types of perturbations are found to yield similar effective performance coefficients, which suggests that the same set of values can be used throughout the array. With the appropriate set of values, we show that the EPTM succeeds to predict accurate downstream turbine performance.

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“…Therefore, to study the wake dynamics we utilized the experimental results conducted by the fellow researchers at Norwegian University of Sciences & Technology (NTNU) [12]. These experimental campaigns, known as Blind Test, have become popular for benchmarking and validating the performance evaluation of small wind turbines [1], [2], [13], [14], [15]. Previous studies also incorporated the effect of tower and tunnel blockage using actuator line modeling [16], [17].…”

Section: Introduction and Objectivementioning

confidence: 99%

Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology

Siddiqui

Rasheed

Kvamsdal

et al. 2017

J. Phys.: Conf. Ser.

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Abstract. Dominant flow structures in the wake region behind the turbine employed in the Blind Test campaign [1], [2] is investigated numerically. The effect on the wake configuration at variable operating conditions are studied. The importance of the introduction of turbine tower inside the numerical framework is highlighted. High-fidelity simulations are performed with Multiple Reference Frame (MRF) numerical methodology. A thorough comparison among the cases is presented, and the wake evolution is analyzed at variable stations downstream of the turbine. Streamlines of flow field traveled towards ground adjacent to turbine tower and strongly dependent on the operating tip speed ratio. Wake is composed of tower shadow superimposed by rotor wake. Shadow of the tower varies from x/R=2 until x/R=4 and breaks down into small vortices with the interaction of rotor wake. This study also shows that the wake distribution consists of two zones; inner zone composed of disturbances generated by blade root, nacelle and the tower, and an outer zone consisting of tip vortices.

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Numerical simulation of the interaction between tandem wind turbines

Cited by 5 publications

References 17 publications

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

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

A numerical study on the interaction between two cross-flow turbines in tandem configuration to support a simplified turbine model approach

Influence of Tip Speed Ratio on Wake Flow Characteristics Utilizing Fully Resolved CFD Methodology

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