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The efficiency of tidal-stream turbines in a large array depends on the balance between negative effects of turbine-wake interactions and positive effects of bypass-flow acceleration due to local blockage, both of which are functions of the…

流体动力学 · 物理学 2021-09-08 Pablo Ouro , Takafumi Nishino

Effective power flow modeling critically affects the ability to efficiently solve large-scale grid optimization problems, especially those with topology-related decision variables. In this work, we put forth a generative modeling approach…

系统与控制 · 电气工程与系统科学 2023-07-25 Young-ho Cho , Hao Zhu

This work introduces the Area Localized Coupled (ALC) model, which extends earlier approaches to coupling classical wake superposition and atmospheric boundary layer models in order to enable applicability to arbitrary wind-farm layouts.…

流体动力学 · 物理学 2024-06-19 Genevieve M. Starke , Charles Meneveau , Jennifer R. King , Dennice F. Gayme

We present and test the coupled wake boundary layer (CWBL) model that describes the distribution of the power output in a wind-farm. The model couples the traditional, industry-standard wake model approach with a "top-down" model for the…

流体动力学 · 物理学 2015-06-19 Richard J. A. M. Stevens , Dennice F. Gayme , Charles Meneveau

With the rapid growth of wind power penetration, wind farms (WFs) are required to implement frequency regulation that active power control to track a given power reference. Due to the wake interaction of the wind turbines (WTs), there is…

系统与控制 · 电气工程与系统科学 2023-08-31 Cheng Zhong , Yicheng Ding , Husai Wang , Jikai Chen , Jian Wang , Yang Li

Many wind farms are placed near coastal regions or in proximity of orographic obstacles. The meso-scale gradients that develop in these zones make wind farms operating in velocity fields that are rarely uniform. However, all existing…

流体动力学 · 物理学 2023-02-15 Luca Lanzilao , Johan Meyers

Wind power prediction is of vital importance in wind power utilization. There have been a lot of researches based on the time series of the wind power or speed, but In fact, these time series cannot express the temporal and spatial changes…

机器学习 · 计算机科学 2018-07-19 Ruiguo Yu , Zhiqiang Liu , Xuewei Li , Wenhuan Lu , Mei Yu , Jianrong Wang , Bin Li

We investigated the dynamics of highly turbulent thermally driven anabatic (upslope) flow on a physical model inside a large water tank using particle image velocimetry (PIV) and a thermocouple grid. The results showed that the flow…

流体动力学 · 物理学 2023-10-02 Roni H. Goldshmid , Dan Liberzon

The LiDAR Statistical Barnes Objective Analysis (LiSBOA), presented in Letizia et al., is a procedure for the optimal design of LiDAR scans and calculation over a Cartesian grid of the statistical moments of the velocity field. The LiSBOA…

流体动力学 · 物理学 2021-09-06 Stefano Letizia , Lu Zhan , Giacomo Valerio Iungo

The global transition towards renewable energy has accelerated the deployment of utility-scale wind farms, increasing the need for accurate performance and economic assessments. Although wind energy offers substantial potential for carbon…

系统与控制 · 电气工程与系统科学 2026-03-25 Ann Mary Toms , Xingpeng Li

With the exploitation of wind power, more turbines will be deployed at remote areas possibly with harsh working conditions (e.g., offshore wind farm). The adverse working environment may lead to massive operating and maintenance costs of…

系统与控制 · 电气工程与系统科学 2020-09-24 Hwei-Ming Chung , Sabita Maharjan , Yan Zhang , Frank Eliassen , Tingting Yuan

The wake behind a cube with a face normal to the flow was investigated experimentally in a water tunnel using laser induced fluorescence visualisation (LIF) and particle image velocimetry (PIV) techniques. Measurements were carried out for…

流体动力学 · 物理学 2017-10-11 L. Klotz , S. Goujon-Durand , J. Rokicki , J. E. Wesfreid

The rapid growth of the wind energy sector underscores the urgent need to optimize turbine operations and ensure effective maintenance through early fault detection systems. While traditional empirical and physics-based models offer…

Wetland biogeochemical transformations are affected by flow and mixing in wetland surface water. We investigate the influence of wind on wetland water flow by simultaneously measuring wind and surface water velocities in an enclosed…

流体动力学 · 物理学 2016-06-22 Ian C. Tse , Cristina M. Poindexter , Evan A. Variano

Low-fidelity wake models are used for wind farm design and control optimization. To generalize to a wind farm model, individually-modeled wakes are commonly superimposed using approximate superposition models. Wake models parameterize…

流体动力学 · 物理学 2023-06-22 Michael J. LoCascio , Catherine Gorle , Michael F. Howland

Wind-wave interactions impose wind forcing on wave surface and wave effects on turbulent wind structures, which essentially influences the wind-wave loading on structures. Existing research treats the wind and wave loading separately and…

流体动力学 · 物理学 2023-10-06 Tianqi Ma , Chao Sun

The strong growth of renewable energy sources and the high volatility in power generation of these sources, as well as the increasing amount of volatile energy consumption is leading to major challenges in the electrical grid. In order to…

信号处理 · 电气工程与系统科学 2020-09-28 Katharina Brauns , Christoph Scholz , Andre Baier , Dominik Jost

The study focuses on the wind loads acting on the standard Commonwealth Advisory Aeronautical Council (CAARC) building model. Numerical modeling has been used instead of employing wind tunnel experiments due to the requirement of high…

流体动力学 · 物理学 2022-02-16 V. A. U. De Alwis , P. H. T. D. Weerarathne , K. K. Wijesundara

Dynamic induction control is a wind farm flow control strategy that utilises wind turbine thrust variations to accelerate breakdown of the aerodynamic wake and improve downstream turbine performance. However, when floating wind turbines are…

Movement of soil moisture associated with tree root-water uptake is ecologically important, but technically challenging to measure. Here, the self-potential (SP) method, a passive electrical geophysical method, is used to characterize water…

地球物理 · 物理学 2019-06-17 Emily Voytek , Holly Barnard , Damien Jougnot , Kamini Singha