Data associated with the publication "Reliable operation of wind-storage systems for baseload power production"
DOI: 10.4121/52056a89-9324-486f-a16b-93c0a1ceae2a
Datacite citation style
Dataset
This dataset contains wind speed forecast and observation data obtained from the European Centre for Medium-Range Weather Forecasts (ECMWF) MARS archive and ERA5 for 18 offshore sites in Northern Europe for the year 2019.
The original data from MARS and from ERA5 were modified by (i) changing its data format to json and (ii) extracting the wind speed for 18 specific locations.
Each json file has 5 entries:
- "time" - represents the time step of the forecast issued time or of the observation data, expressed as datetime64[ns]
- "lat" - Latitude of the location
- "lon" - Longitude of the location
- "steps" - lead time of the issued forecasts, expressed in hours
- "u100" - wind speed component u, in m/s
- "v100" - wind speed component v, in m/s
The data in "u100" and "v100" are stored as a three-dimensional array, where the first dimension corresponds to the time step of the forecast issue or of the observation data and matches the matches the dimension of "time", the second dimension is the forecast scenario (here always equal to one), and the third dimension is the lead-time and matches the dimension of "steps". For the hourly data, since there is no forecast, the data stored in the third dimension of the array is always a scalar.
The forecast files are named as "mars_ptf_2019_60h_xxx.json". The observation data files are named "data_era5_2019_xxx.json". The "xxx" corresponds to the three letter identifier for each site (e.g. "hkn", "sea", etc.).
The research results presented in the associated publication can be reproduced with the open-source code SHIPP: https://github.com/jennaiori/shipp
All datasets are made available under the CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/).
History
- 2025-03-17 first online
- 2025-06-12 published, posted
Publisher
4TU.ResearchDataFormat
jsonAssociated peer-reviewed publication
Reliable operation of wind-storage systems for baseload power productionFunding
- Hollandse Kust Noord wind farm innovation program CrossWind C.V.
Organizations
TU Delft, Faculty of Aerospace Engineering, Wind Energy SectionDATA
Files (36)
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