Floating offshore wind turbine fatigue loads: 50,000 FAST simulations (damage equivalent loads)

FAST simulations run at the National Renewable Energy Laboratory for P. A. Graf, G. Stewart, M. Lackner, K. Dykes and P. Veers, "High-throughput computation and the applicability of Monte Carlo integration in fatigue load estimation of floating offshore wind turbines", Wind Energy 19(5):861-872, 2016, doi:10.1002/we.1870. NRELwind_testing.txt is a CSV with one header row and 50,000 rows x 13 columns: the run number, five encoded inputs (hub-height wind speed, significant wave height, wave direction, peak wave period, platform direction) and seven short-term damage equivalent loads (blade-root and tower-base bending moments, three anchor tensions). The rows are a subset of the 500,000 Monte Carlo samples of the paper's 5-input study (Sect. 4.3).

These files are deposited as the full-size archive of the data set energy/Offshore_Wind_Turbine_Fatigue in the as-data-sets repository (https://github.com/paulcon/as-data-sets/tree/main/energy/Offshore_Wind_Turbine_Fatigue), a collection of Jupyter notebooks that apply active subspaces (parameter-space dimension reduction) to science and engineering models. The notebook there analyzes these data; its DATA.md documents every file, column, unit and unknown. The repository keeps each file under 10 MB, so it ships a lossless .npz copy of this file.

License: CC BY 4.0. Cite Graf et al. (2016) when you use the data.