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OpenWindSCADA

Repository of openly available wind turbine SCADA datasets with high-level descriptions, reusable data loaders for convenient CSV import, and a platform for documenting insights related to data quality and malfunctions.

For questions and feedback, plese reach out to: [email protected]

Table of open source wind turbine SCADA data sets:

ID Dataset .jpynb Loc Met-
mast
Trb
#
Var
#
Logs
✓/✗
Labels
✓/✗
ΔT ∑T Ref Remarks/License
1 EDP Open Data here ESP (on) 5 ~80 1 10m 2y - T09 removed from dataset
2 Winji Gearbox Challenge ? ? 5 ~20 2 10m 3y - register & consent from WinJi
3 Kelmarsh Farm here UK (on) 6 ~99 10m3 5y - farm info
4 Penmanshiel Farm UK (on) 14 >150 10m3 5y - farm info
5 Ørsted Anholt Offshore DEN (off) (✓)4 111 ? ? ? 10m 2y - application/NDA; farm info
6 Ørsted Westermost Rough UK (off) (✓)4 35 ? ? ? 10m 2y - application/NDA; farm info
7a "CAREtoCompare" Windfarm B GER (off) ? 9 64 ? 10m 2y - normalized for anonymization
7b "CAREtoCompare" Windfarm C GER (off) ? 22 238 ? 10m 2y - normalized for anonymization
8 Fuhrländer Farm ? (on) 5 312 5m 3y [2] Eclipse Public License v2.0
9a DSforWind Windfarm 1a ? (on) 6 4 7 10m 1y - -
9b DSforWind Windfarm1b ? (off) 6 2 7 10m 1y - -
9c DSforWind Windfarm 2a ? (on) 6 2 7 10m 1y - -
9d DSforWind Windfarm 2b ? (off) 6 2 7 10m 1y - -
10 PCWG Data Sets ? (on) 3 1 10m 1y - -
11 Norrekaer Windfarm DK (on) 41 3 10m 1.5y [3] farm info
11 Delabole Windfarm UK (on) 10 1 10m 1y [4] farm info
12 Dundalk IoT IRE (on) 1 20 7 10m 14y - urban terrain
13 Kaggle Wind Turbine TUR (on) 1 4 10m 1y - -
14 Small São Paulo BRZ (on) 1 ~40 1m 5y - small, urban turbine
15 Björkö Wind Turbine SWE (on) 1 68 1s 1y - small; turbine info
16 IET-OST Turbine SUI (on) 1 15 1s 1.5y - small; turbine info
17 Pedra do Sal Wind Farm BRZ (on) 20 ~40 10m 1y - farm info
18 Beberibe Wind Farm BRZ (on) 32 ~40 10m 1y - farm info
19 SMARTEOLE Wind Farm FRA (on) 7 ~40 1m 4m [5] wake steering; farm info
98 Engie La Haute Borne FR (on) 4 ~80 10m 8y - offline; farm info
99 Levenmouth Turbine UK (near) 1 >500 10m/1s 3y - not for free (~2000 £)

✗ = no / ✓ = yes

1 Manual annotations of major failures or component replacements
2 SCADA error log indicator
3 Statistics from wave buoy and ground-based LIDAR data.
4 Higher resolution on request
5 Environmental measures (except wind speed & TI) come from metmast
6 Ground-based LIDAR
7 Gearbox replacement in 2018-2019

Notebooks - Data Loaders and Overview Plots:

The jupyter notebooks in the 'notebooks' folder contain a data loader for SCADA signals, logs, annotations as well as community annotations (see next sections). Table 1 indicates whether the respective dataset has already been added. Furthermore, they produce an overview over each dataset such as shown in the following image:

image

Also, for each turbine, there is an 'Overview Cockpit' with a power curve plot, a wind rose and the data avilability over time. An example is shown here:

image

Lastly, operator annotations are listed, if they are part of the dataset. See e.g. for T01 of the edp data set:

image

To run the notebooks yourself, please add the respective .csv-files to the data folder.

Comunity Annotations:

We want to enable researchers to build upon the findings of others who were previously working with the dataset. For every dataset, we have set up a community-annotation folder, containing simple CSV's to collect data quality or malfunction related observations. They contain the following columns:

  • annot_id: unique annotation identifies (running ascending number)
  • turbine_id: which turbine of the respective dataset is affected?
  • signal: which signal exhibits the respective observation?
  • time_start / time_stop: during which time is the observation present?
  • related_log_message (optional): is there a SCADA log message that coincides with the observation?
  • remarks: describe your observation in a few words.

The respective notebooks automatically load, read and display the respective malfuncitons. See e.g. this example from T01 of the edp-dataset:

image

How to contribute:

We welcome contributions to expand the collection of open datasets in this repository as well as community annotations for the respective datasets.

Other Resources:

References:

Many of the above listed datasets are described and analysed in [1].

[1]
[Effenberger, Nina, and Nicole Ludwig. "A collection and categorization of open‐source wind and wind power datasets." Wind Energy 25.10 (2022): 1659-1683.](https://onlinelibrary.wiley.com/doi/full/10.1002/we.2766)
[2]
[Marti-Puig, P., Blanco-M., A., Cusidó, J. et al. Wind turbine database for intelligent operation and maintenance strategies. Sci Data 11, 255 (2024).](https://www.nature.com/articles/s41597-024-03067-9)
[3]
[Hansen, Kurt Schaldemose; Vasiljevic, Nikola; Sørensen, Steen Arne (2022). SCADA data from Norre_m2 wind farm. Technical University of Denmark. Dataset.] (https://doi.org/10.11583/DTU.19076756.v1)
[4]
[Hansen, Kurt Schaldemose (2021). Scada data from Delabole wind farm. Technical University of Denmark. Dataset.] (https://doi.org/10.11583/DTU.14077004)
[5]
[Simley, E., Fleming, P., Girard, N., Alloin, L., Godefroy, E., and Duc, T.: Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance, Wind Energ. Sci., 6, 1427–1453, 2021.](https://doi.org/10.5194/wes-6-1427-2021)

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