Sensitivity Analysis of Numerical Modeling Input Parameters on Floating Offshore Wind Turbine Loads in Extreme Idling Conditions

Will Wiley, Jason Jonkman, Amy Robertson

Research output: Contribution to journalArticlepeer-review

Abstract

Floating offshore wind turbine (FOWT) systems are subject to complex environmental loads, with significant potential for damage in extreme storm conditions. Design simulations in these conditions are required to assess the survivability of the device with some level of confidence. Aero-hydro-servo-elastic engineering tools can be used with a reasonable balance of accuracy and computational efficiency. The models require many input parameters to describe the air and water conditions, the system properties, and the load calculations. Each of these parameters has some possible range, due to either statistical uncertainty or variations with time. Variation in the input parameters can have important effects on the uncertainty in the resulting loads, but it is not practical to perform detailed assessments of the impact of this uncertainty for every input parameter. This work demonstrates a method to identify the input parameters that have the most impact on the loads to focus further inspection. The process is done specifically for extreme storm load cases defined in the International Electrotechnical Commission design requirements for floating offshore wind turbines. The analysis was performed using the International Energy Agency Wind 15 MW offshore reference wind turbine atop the University of Maine VolturnUS-S reference platform in two US offshore wind regions, the Gulf of Maine and Humboldt Bay. It was found that the direction of incident waves and current, yaw misalignment, and the length of mooring line sections were among the primary sensitivities.
Original languageAmerican English
Pages (from-to)941-970
Number of pages30
JournalWind Energy Science
Volume10
Issue number5
DOIs
StatePublished - 2025

NREL Publication Number

  • NREL/JA-5700-90993

Keywords

  • floating
  • numerical modeling
  • sensitivity

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