DOI: 10.5281/zenodo.10159945
title: Wind power plants layouts according to arbitrary reference points, Thanet, West of Duddon Sands, Ormonde, and Horns Rev 1

description: If this dataset is helpful for your research, please be kind to cite not only the dataset itself, but also the papers further below, which originally enabled me to create this dataset.

This dataset contains the layouts of the Thanet, West of Duddon Sands (WDS), Ormonde and Horns Rev 1 offshore wind power plants (OWPPs), which can be utilized in a variety of studies. 

The x and y coordinates, in kilometers, were written according to arbitrary reference points. The positions of wind turbine generators (WTGs) and substations (SS) for the OWPPs came from the sources below.

Thanet: WTGs from [1], SS based on [3].

WDS: WTGs from [2], SS based on [3].

Ormonde: WTGs and SS from [4].

Horns Rev 1: WTGs and SS from [5].

From figures of the OWPPs' layouts, I used Graph Grabber 2.0.2* to extract the data points. Then, based on visual inspection of [1,2,4,5], I utilized 2D projection to align WTGs that should be aligned. Neither [1] nor [2] provided the SS positions. Thus, I approximated them based on [3]. The resulting layouts can be immediately seen in the png attachment.

Regarding the arbitrary reference points for the coordinates, although the values in the x and y axes differ from [2,5], note that the distances among the WTGs are the same from [2,5]. Furthermore,  There were no axes in [1,4]. Instead, distance measurements were given, which are enough to obtain the layout. Any values in meters were converted to kilometers.

As seen in the attachments, the coordinates can be obtained either via the h5 file or via the csv files, which can be easily read by Matlab, Julia and Python, among others. The name of the datasets in the h5 file are: "Thanet", "WDS", "Ormonde", and "HornsRev1".

In all data matrices, the first row represents the SS coordinates, whereas the subsequent rows represent the WTGs.

 

*Graph Grabber 2.0.2 | Downloads And Demos | Software | Quintessa Limited | Scientific and Mathematical Consultancy

[1] Pearce, B., Fariñas-Franco, J. M., Wilson, C., Pitts, J., deBurgh, A., & Somerfield, P. J. (2014). Repeated mapping of reefs constructed by Sabellaria spinulosa Leuckart 1849 at an offshore wind farm site. Continental Shelf Research, 83, 3-13. https://doi.org/10.1016/j.csr.2014.02.003

[2] Kallehave, D., Byrne, B. W., LeBlanc Thilsted, C., & Mikkelsen, K. K. (2015). Optimization of monopiles for offshore wind turbines. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2035), 20140100. https://doi.org/10.1098/rsta.2014.0100

[3] Pérez-Rúa, J. A., Stolpe, M., Das, K., & Cutululis, N. A. (2019). Global optimization of offshore wind farm collection systems. IEEE Transactions on Power Systems, 35(3), 2256-2267. https://doi.org/10.1109/TPWRS.2019.2957312

[4] Seafish, "Ormonde offshore wind farm," 2024. [Online]. Available: Chart 16 - Ormonde.indd (kis-orca.org)

[5] M. Fischetti and D. Pisinger, "On the impact of using mixed integer programming techniques on real-world offshore wind parks." in ICORES, 2017, pp. 108–118.