Load response of a floating wind turbine to turbulent atmospheric flow
Abstract
The two turbulence-generation models [Kaimal Spectrum Exponential Coherence (KSEC) and Mann] specified in the international standard for wind turbine design assume neutral atmospheric conditions and are based on statistical and spectral methods. Mainly due to the lack of physics, the flow fields simulated with these models ultimately differ in their underlying structure, especially in terms of the spatial coherence of longitudinal velocity perturbations. While this may not be critical for smaller wind turbine rotors, it becomes important when rotor sizes increase. Furthermore, it might be especially important in the context of floating technologies as they are more sensitive to large turbulent coherent structures. Previous work found that these differences between KSEC and Mann can propagate to loads predictions and thereby affect the design space of the entire wind turbine system. It is therefore crucial to determine in which ways these two models are underperforming. Up until now, validation of these models had only been done in the vertical direction because it is extremely difficult to obtain atmospheric turbulence measurements separated laterally, and sampled at heights relevant to wind energy. In this work, we address the lack of measurements by using high-fidelity, high-resolution simulation data as a reference. We perform hour-long,more »
- Authors:
-
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Equinor, Bergen (Norway)
- Publication Date:
- Research Org.:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W); Equinor
- OSTI Identifier:
- 1505929
- Alternate Identifier(s):
- OSTI ID: 1547587
- Report Number(s):
- NREL/JA-5000-72618
Journal ID: ISSN 0306-2619
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Applied Energy
- Additional Journal Information:
- Journal Volume: 242; Journal Issue: C; Journal ID: ISSN 0306-2619
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; turbulence; coherence; loads; offshore; wind; stability
Citation Formats
Doubrawa, Paula, Churchfield, Matthew J., Godvik, Marte, and Sirnivas, Senu. Load response of a floating wind turbine to turbulent atmospheric flow. United States: N. p., 2019.
Web. doi:10.1016/j.apenergy.2019.01.165.
Doubrawa, Paula, Churchfield, Matthew J., Godvik, Marte, & Sirnivas, Senu. Load response of a floating wind turbine to turbulent atmospheric flow. United States. https://doi.org/10.1016/j.apenergy.2019.01.165
Doubrawa, Paula, Churchfield, Matthew J., Godvik, Marte, and Sirnivas, Senu. Thu .
"Load response of a floating wind turbine to turbulent atmospheric flow". United States. https://doi.org/10.1016/j.apenergy.2019.01.165. https://www.osti.gov/servlets/purl/1505929.
@article{osti_1505929,
title = {Load response of a floating wind turbine to turbulent atmospheric flow},
author = {Doubrawa, Paula and Churchfield, Matthew J. and Godvik, Marte and Sirnivas, Senu},
abstractNote = {The two turbulence-generation models [Kaimal Spectrum Exponential Coherence (KSEC) and Mann] specified in the international standard for wind turbine design assume neutral atmospheric conditions and are based on statistical and spectral methods. Mainly due to the lack of physics, the flow fields simulated with these models ultimately differ in their underlying structure, especially in terms of the spatial coherence of longitudinal velocity perturbations. While this may not be critical for smaller wind turbine rotors, it becomes important when rotor sizes increase. Furthermore, it might be especially important in the context of floating technologies as they are more sensitive to large turbulent coherent structures. Previous work found that these differences between KSEC and Mann can propagate to loads predictions and thereby affect the design space of the entire wind turbine system. It is therefore crucial to determine in which ways these two models are underperforming. Up until now, validation of these models had only been done in the vertical direction because it is extremely difficult to obtain atmospheric turbulence measurements separated laterally, and sampled at heights relevant to wind energy. In this work, we address the lack of measurements by using high-fidelity, high-resolution simulation data as a reference. We perform hour-long, large-eddy simulations of turbulent velocity fields that are stability-dependent and contain three-dimensional coherent structures. These flow fields are then used to investigate which stochastic model is a better predictor of loads on a realistic spar-system floating offshore wind turbine, and to quantify how the assumption of neutral stratification propagates to short-term load estimates. Both stochastic turbulence models are found to overpredict fatigue loading in high-wind scenarios (in some cases, by more than 25%) and underpredict it when the wind speed is low (by as much as 20%). The KSEC model matches the high-fidelity flow fields more closely than Mann at high wind speeds, and the opposite is true at low wind speeds. Finally, turbine loading is found to be sensitive to atmospheric stability even when the turbulence intensity remains fairly constant. This sensitivity is most pronounced at low wind speeds, when fatigue load estimates on the spar system can differ by 40%.},
doi = {10.1016/j.apenergy.2019.01.165},
journal = {Applied Energy},
number = C,
volume = 242,
place = {United States},
year = {Thu Mar 28 00:00:00 EDT 2019},
month = {Thu Mar 28 00:00:00 EDT 2019}
}
Web of Science
Works referenced in this record:
Influence of atmospheric stability on wind turbine loads: Atmospheric stability and loads
journal, July 2012
- Sathe, A.; Mann, J.; Barlas, T.
- Wind Energy, Vol. 16, Issue 7
Wind field simulation
journal, October 1998
- Mann, Jakob
- Probabilistic Engineering Mechanics, Vol. 13, Issue 4
Spectral characteristics of surface-layer turbulence
journal, July 1972
- Kaimal, J. C.; Wyngaard, J. C.; Izumi, Y.
- Quarterly Journal of the Royal Meteorological Society, Vol. 98, Issue 417
Effects of normal and extreme turbulence spectral parameters on wind turbine loads
journal, February 2017
- Dimitrov, Nikolay; Natarajan, Anand; Mann, Jakob
- Renewable Energy, Vol. 101
Coherence of Turbulent Wind Under Neutral Wind Conditions at FINO1
journal, September 2016
- Eliassen, Lene; Obhrai, Charlotte
- Energy Procedia, Vol. 94
The Effect of Turbulence Model on the Response of a Large Floating Wind Turbine
conference, September 2017
- Eliassen, Lene; Bachynski, Erin E.
- ASME 2017 36th International Conference on Ocean, Offshore and Arctic Engineering, Volume 10: Ocean Renewable Energy
A Comparison of Standard Coherence Models for Inflow Turbulence With Estimates from Field Measurements
journal, November 2004
- Saranyasoontorn, Korn; Manuel, Lance; Veers, Paul S.
- Journal of Solar Energy Engineering, Vol. 126, Issue 4
The Frøya database and maritime boundary layer wind description
journal, April 2006
- Andersen, Odd Jan; Løvseth, Jørgen
- Marine Structures, Vol. 19, Issue 2-3
Spectral tensor parameters for wind turbine load modeling from forested and agricultural landscapes: Spector tensor parameters for wind loads
journal, February 2014
- Chougule, A.; Mann, J.; Segalini, A.
- Wind Energy, Vol. 18, Issue 3
Wind Coherence Measurement by a Single Pulsed Doppler Wind Lidar
journal, September 2016
- Cheynet, Etienne; Jakobsen, Jasna Bogunović; Svardal, Benny
- Energy Procedia, Vol. 94
The dependence of offshore turbulence intensity on wind speed
journal, August 2010
- Türk, Matthias; Emeis, Stefan
- Journal of Wind Engineering and Industrial Aerodynamics, Vol. 98, Issue 8-9
Wave forecast and its application to the optimal control of offshore floating wind turbine for load mitigation
journal, December 2018
- Ma, Yu; Sclavounos, Paul D.; Cross-Whiter, John
- Renewable Energy, Vol. 128
Modeling and investigation of load and motion characteristics of offshore floating wind turbines
journal, July 2018
- Dai, Juchuan; Hu, Wei; Yang, Xin
- Ocean Engineering, Vol. 159
FAST Modular Framework for Wind Turbine Simulation: New Algorithms and Numerical Examples
conference, January 2015
- Sprague, Michael A.; Jonkman, Jason M.; Jonkman, Bonnie
- 33rd Wind Energy Symposium
The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms
journal, June 1967
- Welch, P.
- IEEE Transactions on Audio and Electroacoustics, Vol. 15, Issue 2
Works referencing / citing this record:
Grand Challenges in the Design, Manufacture, and Operation of Future Wind Turbine Systems
journal, January 2022
- Veers, Paul; Bottasso, Carlo; Manuel, Lance
- Wind Energy Science Discussions
Assessment of Wind Turbine Aero-Hydro-Servo-Elastic Modelling on the Effects of Mooring Line Tension via Deep Learning
journal, May 2020
- Lin, Zi; Liu, Xiaolei
- Energies, Vol. 13, Issue 9