Scanning wind lidar dataset from the alpha ventus wind farm

In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improve the temporal resolution and prediction quality of the park power in the above time range and thus contribute to grid stability and security of supply. For this purpose, long-range lidar measurements were performed at the alpha ventus wind farm to measure the inflow and wake of the wind farm. The dataset contains wind measurement lidar data from March 2020 to March 2021 which was recorded on top of the nacelle of the AV04 turbine in the farm. The data is provided as hdf5 files with a time resolution of 1h per file. The hdf5 files are zipped month-wise. The lidar did not measure continuously due to e.g. maintenance work of the wind farm. Therefore the zipped files vary in size.

在国家资助项目ParkCast中，将开发、优化并评估适用于海上风电场短期电力预测的新方法。电力预测集中于时长不超过60分钟的时间范围，并具有高时间分辨率。目标是在上述时间范围内显著提升风电场电力的时间分辨率和预测质量，从而为电网稳定性及供电安全作出贡献。为此，在alpha ventus风电场进行了长距离激光雷达测量，以测量风电场的入流和尾流。该数据集包含自2020年3月至2021年3月的风力测量激光雷达数据，这些数据记录于该风电场AV04涡轮机机舱顶部。数据以hdf5文件格式提供，每个文件的时间分辨率为1小时。hdf5文件按月进行压缩。由于例如风电场的维护工作等原因，激光雷达并非连续测量，因此压缩文件的大小存在差异。