遇见数据集

High-TI Synthetic Inflow Dataset for the G1 Wind Farm Control Benchmark

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Zenodo2026-03-15 更新2026-05-26 收录
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This repository provides High turbulence intensity (High-TI) synthetic atmospheric boundary layer inflow field generated through large-eddy simulations (LES) and used in numerical studies of wind-farm control strategies. The inflow field was generated using the Simulator fOr Wind Farm Applications (SOWFA) framework. The numerical setup explicitly reproduces the spires and roughness elements used in the wind-tunnel facility, allowing the numerical simulations to replicate the atmospheric boundary layer conditions generated in the wind-tunnel experiments. The simulation reproduces the wind-tunnel inflow used in the experimental campaign of the three-turbine G1 wind-farm benchmark. Velocity fields were sampled along a vertical plane located 19.1 m downstream of the inlet, corresponding to 10 m upstream of the turntable center in the wind-tunnel setup. This location is therefore very close to the experimental inflow measurement plane. For each time step: the three velocity components (u, v, w) are provided values are sampled at the LES mesh nodes The mesh node coordinates are provided in a separate file. Temporal resolution and duration are: Case Duration Time step High-TI ABL ~40 s 1 ms The inflow fields can be scaled using the same procedure applied to the experimental inflow measurements, as described in the associated dataset paper. This inflow has been used to numerically assess how representative the wakes of G1 wind turbines are of full-scale wakes.

本仓库提供通过大涡模拟(large-eddy simulations, LES)生成的高湍流强度(High-TI)合成大气边界层来流场,该数据集用于风电场控制策略的数值研究。 该来流场基于风电场应用模拟器(Simulator fOr Wind Farm Applications, SOWFA)框架生成。数值设置显式复刻了风洞设施中的螺旋结构与粗糙元,使得数值模拟能够复现风洞实验中产生的大气边界层条件。 本次模拟复现了三涡轮G1风电场基准实验中所用的风洞来流。 速度场沿入口下游19.1m处的垂直平面采样,该位置对应风洞装置中转台中心上游10m处,因此非常接近实验来流测量平面。 针对每个时间步: 提供三个速度分量(u、v、w),采样值取自大涡模拟的网格节点。网格节点坐标存储于单独文件中。 时间分辨率与时长如下: 工况 时长 时间步长 High-TI ABL ~40 s 1 ms 该来流场可按照关联数据集论文中所述的、用于实验来流测量的相同流程进行缩放。 该来流场已被用于数值评估G1风力涡轮机尾流对全尺寸尾流的代表性。

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Zenodo
创建时间:
2026-03-15
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