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

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.

本数据集用于复现论文《用于研究风电场流量控制策略响应尾流动力学的动态开源模型》（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：<br>1. 来自OFF、SOWFA与FLORIS的仿真数据<br>2. 用于复现OFF仿真数据的输入文件<br>3. 输入风向时间序列<br>4. 用于复现论文绘图的MATLAB脚本文件<br><br><strong>仿真文件</strong><br>此类文件主要包含各风电机组的功率及其对应时间步数据。<br>- OFF对应数据文件：nawa_grid_zp_*.csv<br>- FLORIS对应数据文件：floris_nawea_grid_zp_*.csv<br>- SOWFA：与OFF和FLORIS不同，SOWFA仿真仅覆盖较小的时间子集（详见论文）。其时间帧按覆盖时段划分为若干工况，以覆盖小时数命名：<br> - 时间帧1：00_to_03（00时至03时）<br> - 时间帧2：06_to_09（06时至09时）<br> - 时间帧3：12_to_15（12时至15时）<br>测量数据存储于"case*_nacYaw"与"case*_powerGenerator"文件中。<br>各时间帧对应的风电场布局存储于"Time_frame_*hrs_layout.csv"文件。<br>大涡模拟（Large Eddy Simulation，简称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；原始风向数据存储于"Time_frame_*hrs_original_dir.csv"文件。<br><br><strong>OFF输入文件</strong><br>此类输入文件以ki与phi lim参数设置命名，格式为.yaml文件：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数据。<br><br><strong style="background-color:rgb(255, 250, 234);">风向时间序列数据</strong><br>LiDAR_*.csv文件包含用作风向信号的激光雷达（LiDAR）滤波前后数据及其对应时间。文件内容按600秒数据块存储，需进行展开处理，可参考时间数据直观理解。<br><br><strong>MATLAB绘图脚本</strong><br>主绘图脚本为"compare_off_and_sowfa.m"，内含注释以指导用户使用数据集。其余.m文件用于生成特定绘图或加载数据。