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Reducing wake losses in wind farms by deflecting the wakes through turbine yawing has been shown to be a feasible wind farm controls approach. Nonetheless, the effectiveness of yawing depends not only on the degree of wake deflection but…

Analytical wake models provide a computationally efficient means to predict velocity distributions in wind turbine wakes in the atmospheric boundary layer (ABL). Most existing models are developed for neutral atmospheric conditions and…

流体动力学 · 物理学 2024-12-17 Ghanesh Narasimhan , Dennice F. Gayme , Charles Meneveau

A quantitative understanding of the dominant mechanisms that govern the generation and decay of the counter-rotating vortex pair (CVP) produced by yawed wind turbines is needed to fully realize the potential of yawing for wind farm power…

流体动力学 · 物理学 2020-10-28 Carl R. Shapiro , Dennice F. Gayme , Charles Meneveau

The proper orthogonal decomposition has been applied on a full-scale horizontal-axis wind turbine to shed light on the wake characteristics behind the wind turbine. In reality, the blade tip experiences high deflections even at the rated…

Large Eddy Simulations (LES) are used to study the effects of veer (the height-dependent lateral deflection of wind velocity due to Coriolis acceleration) on the evolution of wind turbine wakes. Specifically, this work focuses on turbines…

流体动力学 · 物理学 2024-12-06 Ghanesh Narasimhan , Dennice F. Gayme , Charles Meneveau

Arrays of Vertical Axis Wind Turbines (VAWTs) can achieve larger power generation per land area than horizontal axis turbines farms, due to the positive synergy between VATs in close proximity. Theoretical wake models enable the reliable…

流体动力学 · 物理学 2023-01-10 Pablo Ouro , Maxime Lazennec

This work is dedicated to studying the influence of yaw angle on the wake characteristics of a 2.5 MW utility-scale wind turbine using large-eddy simulations with the turbine's blades and nacelle parameterized as actuator surfaces. Four…

流体动力学 · 物理学 2021-07-30 Zhaobin Li , Xiaolei Yang

An analytical wind turbine wake model is proposed to predict the wind velocity distribution for all distances downwind of a wind turbine, including the near-wake. This wake model augments the Jensen model and subsequent derivations thereof,…

流体动力学 · 物理学 2017-02-02 Aidan Keane , Pablo E. Olmos Aguirre , Hannah Ferchland , Peter Clive , Daniel Gallacher

The current study uses large eddy simulations to investigate the transient response of a utility-scale wind turbine wake to dynamic changes in atmospheric and operational conditions, as observed in previous field-scale measurements. Most…

流体动力学 · 物理学 2021-09-29 Aliza Abraham , Luis A. Martinez-Tossas , Jiarong Hong

Several novel wind energy systems produce wakes with annular cross-sections, which are qualitatively different from the wakes with circular cross-sections commonly generated by conventional horizontal-axis wind turbines and by compact…

流体动力学 · 物理学 2021-09-27 Sam Kaufman-Martin , Nicholas Naclerio , Pedro May , Paolo Luzzatto-Fegiz

To design and optimize arrays of vertical-axis wind turbines (VAWTs) for maximal power density and minimal wake losses, a careful consideration of the inherently three-dimensional structure of the wakes of these turbines in real operating…

Accurate prediction of turbulence kinetic energy (TKE) added by wind-turbine wakes is of significant scientific value for understanding the wake recovery mechanisms. Furthermore, this physical quantity is a critical input for engineering…

流体动力学 · 物理学 2025-11-26 Bowen Du , Jingshan Zhu , Baoliang Li , Mingwei Ge , Xintao Li , Yongqian Liu

Floating offshore wind turbines (FOWTs) are subjected to platform motion induced by wind and wave loads. The oscillatory movement trigger vortex instabilities, modifying the wake structure, influencing the flow reaching downstream wind…

流体动力学 · 物理学 2023-03-21 Vitor G. Kleine , Lucas Franceschini , Bruno S. Carmo , Ardeshir Hanifi , Dan S. Henningson

This work focuses on the validation of the dynamic wake meandering (DWM) model against large eddy simulation (LES). The wake deficit, mean deflection, and meandering under different wind turbine misalignment angles in yaw and tilt, for the…

流体动力学 · 物理学 2023-08-03 Irene Rivera-Arreba , Zhaobin Li , Xiaolei Yang , Erin E. Bachynski-Polić

Active wake control (AWC) has emerged as a promising strategy for enhancing wind turbine wake recovery, but accurately modelling its underlying fluid mechanisms remains challenging. This study presents a computationally efficient wake model…

流体动力学 · 物理学 2025-06-25 Zhaobin Li , Xiaolei Yang

This paper presents a new generation of fast-running physics-based models to predict the wake of a semi-infinite wind farm, extending infinitely in the lateral direction but with finite size in the streamwise direction. The assumption of a…

So-called engineering or analytical wind farm flow solvers typically build upon two submodels: one for the velocity deficit and one for the wake-added turbulence intensity. While velocity deficit modelling has received considerable…

流体动力学 · 物理学 2026-05-01 Frédéric Blondel , Erwan Jézéquel , Helen Schottenhamml , Majid Bastankhah

The wake of an isolated model-scale wind turbine is analysed in a set of inflow conditions having freestream turbulence intensity between 3 % and 12 %, and integral time scales in the range of 0.1 to 10 times the convective timescale based…

流体动力学 · 物理学 2023-05-31 Stefano Gambuzza , Bharathram Ganapathisubramani

Super-large-scale particle image velocimetry and flow visualization with natural snowfall is used to collect and analyze multiple datasets in the near wake of a 2.5 MW wind turbine. Each dataset captures the full vertical span of the wake…

流体动力学 · 物理学 2020-05-20 Aliza Abraham , Teja Dasari , Jiarong Hong

The unsteady flow physics of wind-turbine wakes under dynamic forcing conditions are critical to the modeling and control of wind farms for optimal power density. Unsteady forcing in the streamwise direction may be generated by unsteady…

流体动力学 · 物理学 2024-12-04 Nathaniel J. Wei , Adnan El Makdah , JiaCheng Hu , Frieder Kaiser , David E. Rival , John O. Dabiri
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