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Rapid deployment of offshore wind is expected within the coming decades to help meet climate goals. With offshore wind turbine lifetimes of 25-30 years, and new offshore leases spanning 60 years, it is vital to consider long-term changes in…

大气与海洋物理 · 物理学 2024-12-03 Simon C Warder , Matthew D Piggott

Floating wind turbines (FWTs) hold significant potential for the exploitation of offshore renewable energy resources. Nevertheless, prior to the construction of FWTs, it is imperative to tackle several critical challenges, especially the…

系统与控制 · 电气工程与系统科学 2024-06-18 Yingjie Gong , Qinmin Yang , Hua Geng , Wenchao Meng , Lin Wang

Wind, as a clean and sustainable source of energy, has witnessed significant growth in recent years. However, with a growing number of wind farms authorised, constructed and commissioned, the wake effect (the reduced wind speed caused by…

大气与海洋物理 · 物理学 2023-12-01 Rui Li , Jincheng Zhang , Xiaowei Zhao

Wind turbine's wake, being convectively unstable, may behave as an amplifier of upstream perturbations and make the downstream turbine experience strong inflow fluctuations. In this work, we investigate the effects of the side-to-side…

流体动力学 · 物理学 2022-02-02 Zhaobin Li , Guodan Dong , Xiaolei Yang

As wind energy continues to expand, increased interaction between wind farms and their surroundings can be expected. Using natural snowfall to visualize the air flow in the wake of a utility-scale wind turbine at unprecedented…

大气与海洋物理 · 物理学 2020-06-24 Aliza Abraham , Jiarong Hong

A new theoretical approach is proposed to predict a practical upper limit to the efficiency of a very large wind farm. The new theory suggests that the efficiency of ideal turbines in an ideal very large wind farm depends primarily on a…

流体动力学 · 物理学 2016-11-03 Takafumi Nishino

We present results from large eddy simulations (LES) of extended wind-farms for several turbine configurations with a range of different spanwise and streamwise spacing combinations. The results show that for wind-farms arranged in a…

流体动力学 · 物理学 2017-07-07 Richard J. A. M. Stevens , Dennice F. Gayme , Charles Meneveau

We develop a methodology for combined power and loads optimization by coupling a surrogate loads model with an analytical quasi-static Gaussian wake merging model. The look-up table based fatigue model is developed offline through a series…

系统与控制 · 电气工程与系统科学 2023-05-22 Ishaan Sood , Christophe del Fosse et d'Espierres , Johan Meyers

Successful development of wind farms relies on the optimal siting of wind turbines to maximize the power capacity under stochastic wind conditions and wake losses caused by neighboring turbines. This paper presents a novel method to quickly…

最优化与控制 · 数学 2021-02-19 Aditya Dhoot , Enrico G. A. Antonini , David A. Romero , Cristina H. Amon

Accurate prediction of wake dynamics behind hydrofoils is critical for mitigating vortex-induced vibrations and improving the performance of hydraulic machinery. Conventional turbulence modeling approaches often struggle to capture the…

流体动力学 · 物理学 2026-01-30 Gabriele Gaiti , Chirag Trivedi , Kristian F. Sagmo

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

Large offshore wind farm wakes in shallow atmospheric boundary layers (ABL) exhibit often an asymmetric behaviour when observed through Synthetic-Aperture-Radar or simulated through Large-Eddy Simulations (LES). In previous LES of wind…

The state-of-the-art in wind-farm flow-physics modeling is Large Eddy Simulation (LES) which makes accurate predictions of most relevant physics, but requires extensive computational resources. The next-fidelity model types are…

流体动力学 · 物理学 2021-01-19 Julia Steiner , Richard P. Dwight , Axelle Viré

Wind power, as a green energy resource, is growing rapidly worldwide, along with energy storage systems (ESSs) to mitigate its volatility. Sizing of wind power generation and ESSs has become an important problem to be addressed. Wake effect…

系统与控制 · 电气工程与系统科学 2023-06-13 Rui Xie , Wei Wei , Yue Chen

With the increasing amount of available data from simulations and experiments, research for the development of data-driven models for wind-farm power prediction has increased significantly. While the data-driven models can successfully…

流体动力学 · 物理学 2023-04-06 Navid Zehtabiyan-Rezaie , Alexandros Iosifidis , Mahdi Abkar

Numerous studies have shown that wind turbine wakes within a large wind farm bring about changes to both the dynamics and thermodynamics of the atmospheric boundary layers (ABL). Previously, we investigated the relative humidity budget…

流体动力学 · 物理学 2019-09-02 Adrian Sescu , John Haywood , Kevin Adkins

The increasing integration of wind generation is accompanied with a growing concern about secure and reliable power system operation. Due to the intermittent nature of wind, the base-load units need to cycle significantly more than they…

最优化与控制 · 数学 2016-05-20 Ahmad Shabir Ahmadyar , Gregor Verbic

Despite substantial growth in wind energy technology in recent decades, aerodynamic modeling of wind turbines relies on momentum models derived in the late 19th and early 20th centuries, which are well-known to break down under flow regimes…

流体动力学 · 物理学 2024-01-19 Jaime Liew , Kirby S. Heck , Michael F. Howland

The traction force of a kite can be used to drive a cyclic motion for extracting wind energy from the atmosphere. This paper presents a novel quasi-steady modelling framework for predicting the power generated over a full pumping cycle. The…

系统与控制 · 计算机科学 2018-08-24 Rolf van der Vlugt , Anna Bley , Michael Noom , Roland Schmehl

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