Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Optimization-based calibration of hydrodynamic drag coefficients for a semisubmersible platform using experimental data of an irregular sea state

Journal Article · · Journal of Physics. Conference Series
 [1];  [2];  [1];  [1];  [1]
  1. Leibniz Univ., Hannover (Germany)
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
+ Show Author Affiliations

For the simulation of the coupled dynamic response of floating offshore wind turbines, it is crucial to calibrate the hydrodynamic damping with experimental data. The aim of this work is to find a set of hydrodynamic drag coefficients for the semisubmersible platform of the Offshore Code Comparison Collaboration, Continuation, with Correlation and unCertainity (OC6) project which provides suitable results for an irregular sea state. Due to the complex interaction of several degrees of freedom (DOF), it is common to calibrate drag coefficients with the time series of decay tests. However, applying these drag coefficients for the simulation of an irregular sea state results in misprediction of the motions. By using numerical optimization, it is possible to calibrate multiple drag coefficients simultaneously and effectively, while also considering several DOF. This work considers time series of structural displacements from wave tank tests of the OC6 project and from simulations of the same load cases in OpenFAST. Results are transferred into the frequency domain and the deviation between power spectral densities of surge, pitch and heave from experiment and numerical simulation is used as an objective function to obtain the best fitting drag coefficients. This novel numerical optimization approach enables finding one set of drag coefficients for different load cases, which is a major improvement compared to decay-test-tuned drag coefficients.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; German Research Foundation (DFG)
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1735619
Report Number(s):
NREL/JA--5000-75805; MainId:6937; UUID:d24d32d3-3033-ea11-9c2f-ac162d87dfe5; MainAdminID:15176
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1669; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (6)

OC5 Project Phase II: Validation of Global Loads of the DeepCwind Floating Semisubmersible Wind Turbine journal October 2017
Finite element model updating using deterministic optimisation: A global pattern search approach journal September 2019
Total experimental uncertainty in hydrodynamic testing of a semisubmersible wind turbine, considering numerical propagation of systematic uncertainty journal January 2020
Bichromatic Wave Selection for Validation of the Difference-Frequency Transfer Function for the OC6 Validation Campaign conference December 2019
Simulation-Length Requirements in the Loads Analysis of Offshore Floating Wind Turbines
  • Haid, Lorenz; Stewart, Gordon; Jonkman, Jason
  • ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering, Volume 8: Ocean Renewable Energy https://doi.org/10.1115/OMAE2013-11397
conference November 2013
Real-Time Hybrid Model Tests of a Braceless Semi-Submersible Wind Turbine: Part III — Calibration of a Numerical Model
  • Berthelsen, Petter Andreas; Bachynski, Erin E.; Karimirad, Madjid
  • ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, Volume 6: Ocean Space Utilization; Ocean Renewable Energy https://doi.org/10.1115/OMAE2016-54640
conference October 2016

Similar Records

Impact of Limited Degree of Freedom Drag Coefficients on a Floating Offshore Wind Turbine Simulation
Journal Article · Fri Jan 06 23:00:00 EST 2023 · Journal of Marine Science and Engineering · OSTI ID:1908303

Related Subjects

42 ENGINEERING
calibration
floating offshore wind turbines
hydrodynamic damping