DOI: 10.25835/ubouf7p2
title: Simulation data for lifetime reassessment of an offshore wind turbine

description: This data base contains the simulated fatigue loads for an offshore wind turbine and the associated environmental parameters that can be used for a lifetime reassessment or calculation. 

The investigated wind turbine is the NREL 5MW reference turbine (Jonkman et al., 2009) on the OC3 monopile (Jonkman and Musial, 2010).
Environmental conditions are based on statistical distributions by Hübler et al. (2018), which were fitted to the measured environmental conditions at the FINO 3 research platform.
The time series of the bending moments at mudline and blade root are computed using an adapted version of the FASTv8 simulation code by the NREL (Jonkman, 2013) considering soil-structure-interaction (Häfele et al., 2016; Hübler et al., 2018). 
Short-term damage equivalent loads (DELs) representing fatigue were calculated for several relevant positions (at mudline and at the blade root) 

The data base contains the simulated short-term DELs and corresponding input parameter combinations for the following cases: 

* Full lifetime reassessment - available: 200,000 simulated short-term DELs and corresponding input parameter combinations. Normal operation for 3 m/s &lt;= vs &lt;= 25 m/s and idling conditions for vs &lt; 3 m/s and vs &gt; 25 m/s. 
* Full lifetime reassessment - unavailable: 150,000 simulated short-term DELs and corresponding input parameter combinations. Idling for all considered input parameter combinations. 
* IEC 61400-3 reassessment - available: 97,284 (=16,214 x 6 random seeds) simulated short-term DELs and corresponding input parameter combinations. Normal operation for 3 m/s &lt;= vs &lt;= 25 m/s and idling conditions for vs &lt; 3 m/s and vs &gt; 25 m/s. 
* IEC 61400-3 reassessment - unavailable: 97,284 (=16,214 x 6 random seeds) simulated short-term DELs and corresponding input parameter combinations. Idling for all considered input parameter combinations. 

For further information, it is referred to "Schmidt, F., Hübler, C., and Rolfes, R.: Lifetime reassessment of offshore wind turbines considering different operating conditions using Kriging meta-models, submitted to Wind Energy Science, 2026. 

References:

Häfele, J., Hübler, C., Gebhardt, C. G., and Rolfes, R.: An improved two-step soil-structure interaction modeling method for dynamical analyses of offshore wind turbines, Appl. Ocean Res., 55, 141-150, 10.1016/j.apor.2015.12.001, 2016. Hübler, C., Gebhardt, C. G., and Rolfes, R.: Development of a comprehensive database of scattering environmental conditions and simulation constraints for offshore wind turbines, Wind Energ. Sci., 2, 491-505, https://doi.org/10.5194/wes-2-491-2017, 2017.
Hübler, C., Häfele, J., Gebhardt, C. G., and Rolfes, R.: Experimentally supported consideration of operating point dependent soil properties in coupled dynamics of offshore wind turbines, Marine Structures, 57, 18-37, https://doi.org/10.1016/j.egypro.2017.10.381, 2018. Jonkman, J., Butterfield, S., Musial, W., and Scott, G.: Definition of a 5-MW Reference Wind Turbine for Offshore System Development, National Renewable Energy Laboratory, Golden, Colorado, USA, 2009. Jonkman, J. and Musial W.: Offshore Code Comparison Collaboration (OC3) for IEA Task 23 Offshore Wind Technology and Deployment, National Renewable Energy Laboratory, Golden, Colorado, USA, 2010. Jonkman, J.: The New Modularizationi Framework for the FAST Wind Turbine CAE Tool, 51st AiAA Aerospace Sciences Meeting, including the New Horizons Forum and Aerospace Exposiotion, 7-10 January 2013, Dallas,