Scanning wind lidar dataset from the alpha ventus wind farm

DOI

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.

This dataset is part of the RAVE (Research at alpha ventus) dataset and is of confidential nature. In order to obtain the dataset a data user agreement has to be signed which is provided by the BSH (Bundesamt für Seeschiffart und Hydrographie). Once the agreement is signed access to the data set is provided with a URL link. Until then, the data files are not visible and only metadata is available.
Please send the user agreement to the following address: Bundesamt für Seeschifffahrt und Hydrographie (BSH) M23 RAVE Bernhard-Nocht-Straße 78 20359 Hamburg, Germany In addition please also write a short message via the contact button of this data set, that you would like to have access to. Once the user agreement is at BSH you will then be granted access.

Identifier
DOI https://doi.org/10.18419/darus-2298
Metadata Access https://darus.uni-stuttgart.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18419/darus-2298
Provenance
Creator Würth, Ines ORCID logo; Wigger, Maayen ORCID logo; Berlinger, Philipp ORCID logo
Publisher DaRUS
Contributor Team of RAVE Data repositoriy; Marten Schmager
Publication Year 2022
Funding Reference Bundesministerium für Wirtschaft und Energie (BMWi) FKZ: 0324330
Rights info:eu-repo/semantics/openAccess
OpenAccess true
Contact Team of RAVE Data repositoriy (Federal Maritime and Hydrographic Agency)
Representation
Resource Type lidar data as it is provided by the lidar device and processed information; Dataset
Format image/jpeg
Size 1146379
Version 1.0
Discipline Construction Engineering and Architecture; Earth and Environmental Science; Engineering; Engineering Sciences; Environmental Research; Geosciences; Natural Sciences; Physics
Spatial Coverage On top of the nacelle of the AV04 wind turbine in alpha ventus