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Data belonging to the publication: A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies

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DataCite Commons2024-12-16 更新2024-12-14 收录
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https://data.4tu.nl/datasets/29c209fa-f2a4-456d-9353-67cf81be1aaa
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Dataset to recreate the plots from the publication "A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies"The dataset contains different sets of data:Simulation data from OFF, SOWFA, and FLORISInput files to recreate the simulation data from OFFThe input wind direction time seriesFiles to recreate plots from the paper in MATLAB<br><strong>The simulation files</strong>These mainly contain the power of each turbine with the related time step.OFFnawa_grid_zp_*.csvFLORISfloris_nawea_grid_zp_*.csvSOWFAUnlike OFF and FLORIS, the SOWFA simulations only cover smaller subsets of the time frame (see paper).The time frames are decomposed into cases, named after the hours they cover:Time frame 1: 00_to_03Time frame 2: 06_to_09Time frame 3: 12_to_15The measurements are available under "case*_nacYaw" and "case*_powerGenerator".The wind farm layouts for each time frame are given as "Time_frame_*hrs_layout.csv".The wind direction simulated in LES is given as "Time_frame_*hrs_les_dir", which is an offset version of the original wind direction, which is given as "Time_frame_*hrs_original_dir.csv".<br><strong>OFF input files</strong>Named after the ki and phi lim settings, the input files can be found as .yaml files:nawea_grid_*.yamlThese also contain the original wind farm layout and the entire wind direction time series.<br><strong style="background-color:rgb(255, 250, 234);">Wind direction time series</strong>The LiDAR_*.csv files feature the LiDAR data used as wind direction signal, filtered and unfiltered, and the related time.The content of the files is given in rows of 600s data, which needs to be unfolded. See the time data for an intuition.<br><strong>MATLAB plotting scripts</strong>The main plotting script is called "compare_off_and_sowfa.m" and contains comments to guide the users through the data.The remaining .m files are used to generate specific plots or to load data.

本数据集用于复现发表于论文《A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies》中的绘图结果。数据集包含多组数据:分别为来自OFF、SOWFA、FLORIS的仿真数据、用于复现OFF仿真数据的输入文件、输入风向时间序列,以及用于复现论文绘图的MATLAB脚本文件。<br><strong>仿真文件</strong>此类文件主要包含各台风电机组的功率及其对应时间步数据。其中:OFF格式数据命名为`nawa_grid_zp_*.csv`;FLORIS格式数据命名为`floris_nawea_grid_zp_*.csv`;SOWFA格式数据与OFF和FLORIS不同,仅覆盖部分时间区间(详见论文)。其时间区间按覆盖时段命名为三类案例:时间区间1:00_to_03(00时至03时);时间区间2:06_to_09(06时至09时);时间区间3:12_to_15(12时至15时)。测量数据存储于`case*_nacYaw`与`case*_powerGenerator`文件中。各时间区间对应的风电场布局文件命名为`Time_frame_*hrs_layout.csv`。大涡模拟(LES)得到的模拟风向存储于`Time_frame_*hrs_les_dir.csv`,该数据为原始风向的偏移版本;原始风向数据则存储于`Time_frame_*hrs_original_dir.csv`文件中。<br><strong>OFF输入文件</strong>此类文件以ki与phi限制参数命名,存储为.yaml格式文件,命名为`nawea_grid_*.yaml`。文件中同时包含原始风电场布局与完整的风向时间序列。<br><strong style="background-color:rgb(255, 250, 234);">风向时间序列</strong>`LiDAR_*.csv`文件包含用作风向信号的激光雷达(LiDAR)数据,涵盖滤波后与未滤波的风向数据及其对应时间戳。文件内容以600秒数据为一行存储,需展开后使用,可参考时间数据文件获取直观示例。<br><strong>MATLAB绘图脚本</strong>主绘图脚本为`compare_off_and_sowfa.m`,内含注释以引导用户使用数据集。其余.m文件用于生成特定绘图或加载数据。
提供机构:
4TU.ResearchData
创建时间:
2024-11-07
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集是与一篇研究风力发电场流控策略对尾流动力学影响的开放源码模型论文相关的数据,包含来自OFF、SOWFA和FLORIS的模拟数据、输入文件、风方向时间序列以及MATLAB绘图脚本。数据集聚焦于荷兰Hollandse Kust Noord风电场的特定时间点,旨在支持风电场控制策略的分析和可视化,适用于能源、可再生能源和环境研究领域。
以上内容由遇见数据集搜集并总结生成
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