Preprints
https://doi.org/10.5194/wes-2025-228
https://doi.org/10.5194/wes-2025-228
14 Nov 2025
 | 14 Nov 2025
Status: this preprint is currently under review for the journal WES.

Sensitivity analysis of numerical modeling input parameters on wind turbine loads in deterministic transient load cases

Will Wiley, Jason Jonkman, and Amy Robertson

Abstract. Aero-hydro-elastic-servo numerical models used to design and analyze wind turbines are based on thousands of variable input parameters that dictate the inflow, aerodynamic, structural, and control characteristics of the system as well as sea state, hydrodynamic, and mooring characteristics for fixed-bottom and floating offshore wind turbines. Each of these parameters has some level of uncertainty, which can significantly impact the predicted loads. Understanding the uncertainty in the inputs is critical to understanding the uncertainty in the outputs. This work demonstrates a screening technique to identify which parameters ultimate loads are most sensitive to so that more focus can be given to quantifying the possible range of those parameters. This technique has been demonstrated previously for different turbine and load case types and is extended here for a floating offshore wind turbine in design load cases with transient events both in the inflow and operations. Each load case features a deterministic gust including variations in wind speed, direction, and shear. Load cases are considered with an operating turbine as well as with prescribed fault, startup, and shutdown procedures. The study found that key input parameters with a large impact on loads include the length of the gust, the magnitude of direction change and speed in the gust, the initial wind speed, and the shape of the gust profile.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Wind Energy Science.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Will Wiley, Jason Jonkman, and Amy Robertson

Status: open (until 12 Dec 2025)

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Will Wiley, Jason Jonkman, and Amy Robertson
Will Wiley, Jason Jonkman, and Amy Robertson
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Short summary
Numerical models used to analyze wind turbines are based on thousands of input parameters. Each of these parameters has uncertainty, which can impact the predicted loads. This work demonstrates a screening technique to identify which parameters ultimate loads are most sensitive to so that more focus can be given to quantifying the possible range of those parameters, with a focus on a floating offshore wind turbine in design load cases with transient events both in the inflow and operations.
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