Articles | Volume 7, issue 3
https://doi.org/10.5194/wes-7-1171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-7-1171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jun 2022
Research article |
| 02 Jun 2022
| 02 Jun 2022
Damage equivalent load synthesis and stochastic extrapolation for fatigue life validation
Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, Roskilde 4000, Denmark
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Total article views: 4,908 (including HTML, PDF, and XML)
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Total article views: 3,595 (including HTML, PDF, and XML)
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Total article views: 1,313 (including HTML, PDF, and XML)
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Cited
21 citations as recorded by crossref.
- Power train degradation modelling for multi-objective active power control of wind farms F. Moghadam et al. https://doi.org/10.1007/s10010-023-00617-2
- Wake steering in offshore wind farms: Field experiment and SCADA-driven simulations for quantifying power and blade root loads H. Wang et al. https://doi.org/10.1016/j.oceaneng.2025.124001
- Wind plant wake losses: Disconnect between turbine actuation and control of plant wakes with engineering wake models R. Scott et al. https://doi.org/10.1063/5.0207013
- Investigation of wake steering control effects on the dynamic responses of 15 MW semi-submersible floating wind farms T. Zhang et al. https://doi.org/10.1016/j.renene.2025.123704
- A wind turbine digital shadow for complex inflow conditions H. Hoghooghi & C. Bottasso https://doi.org/10.5194/wes-11-373-2026
- Nonlinear Control of FOWTs with Permanent Magnet Synchronous Generators for MPPT M. Shahir et al. https://doi.org/10.1088/1742-6596/3224/5/052033
- A Neural Network-Based Method for Predicting Wind Turbine Fatigue Loads H. Jia et al. https://doi.org/10.3390/app152412992
- Quantifying the effect of low-frequency fatigue dynamics on offshore wind turbine foundations: a comparative study N. Sadeghi et al. https://doi.org/10.5194/wes-8-1839-2023
- Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines M. Lara et al. https://doi.org/10.1016/j.ifacol.2025.12.048
- A wind turbine digital shadow with tower and blade degrees of freedom - Preliminary results and comparison with a simple tower fore-aft model H. Hoghooghi et al. https://doi.org/10.1088/1742-6596/2767/3/032026
- Feedforward individual pitch control of wind turbines in the nominal region M. Lara et al. https://doi.org/10.1088/1742-6596/3224/5/052002
- Enfoque anticipativo de control de paso individual en turbinas eólicas M. Lara Ortiz et al. https://doi.org/10.17979/ja-cea.2025.46.12058
- Added value of site load measurements in probabilistic lifetime extension: a Lillgrund case study S. Mozafari et al. https://doi.org/10.5194/wes-11-621-2026
- Impact of low-frequency fluctuations on loads of a fixed-bottom offshore reference wind turbine A. Syed et al. https://doi.org/10.1088/1742-6596/2767/5/052041
- Data-Driven Modeling for Wind Turbine Blade Loads Based on Deep Neural Network J. Ao et al. https://doi.org/10.32604/ee.2024.055250
- Digital shadows with optimized bias correction for accurate wind turbine fatigue load estimation H. Hoghooghi & C. Bottasso https://doi.org/10.1088/1742-6596/3224/6/062003
- Structural load estimation of the wheel loader for customer usage profile monitoring J. Cho et al. https://doi.org/10.1007/s12206-024-0620-0
- Individual pitch controller with static inverted decoupling for periodic blade load reduction on monopile offshore wind turbines M. Lara et al. https://doi.org/10.1016/j.oceaneng.2025.121608
- Characterizing fatigue damage by waves and wind using experimental data of a 6 MW monopile offshore wind turbine S. Lauterbach et al. https://doi.org/10.1016/j.weer.2026.100030
- Surrogate Models for Wind Turbine Load Estimation – Validation with Field Data S. Kottakat et al. https://doi.org/10.1088/1742-6596/3224/6/062057
- A reduced order analytical model to reconstruct tower bending moments time series of onshore wind turbines validated with experimental data F. Pimenta et al. https://doi.org/10.1016/j.jsv.2026.119781
21 citations as recorded by crossref.
- Power train degradation modelling for multi-objective active power control of wind farms F. Moghadam et al. https://doi.org/10.1007/s10010-023-00617-2
- Wake steering in offshore wind farms: Field experiment and SCADA-driven simulations for quantifying power and blade root loads H. Wang et al. https://doi.org/10.1016/j.oceaneng.2025.124001
- Wind plant wake losses: Disconnect between turbine actuation and control of plant wakes with engineering wake models R. Scott et al. https://doi.org/10.1063/5.0207013
- Investigation of wake steering control effects on the dynamic responses of 15 MW semi-submersible floating wind farms T. Zhang et al. https://doi.org/10.1016/j.renene.2025.123704
- A wind turbine digital shadow for complex inflow conditions H. Hoghooghi & C. Bottasso https://doi.org/10.5194/wes-11-373-2026
- Nonlinear Control of FOWTs with Permanent Magnet Synchronous Generators for MPPT M. Shahir et al. https://doi.org/10.1088/1742-6596/3224/5/052033
- A Neural Network-Based Method for Predicting Wind Turbine Fatigue Loads H. Jia et al. https://doi.org/10.3390/app152412992
- Quantifying the effect of low-frequency fatigue dynamics on offshore wind turbine foundations: a comparative study N. Sadeghi et al. https://doi.org/10.5194/wes-8-1839-2023
- Multi-objective Optimization of Individual Pitch Control with Static Inverted Decoupling for Blade Fatigue Load Reduction in Wind Turbines M. Lara et al. https://doi.org/10.1016/j.ifacol.2025.12.048
- A wind turbine digital shadow with tower and blade degrees of freedom - Preliminary results and comparison with a simple tower fore-aft model H. Hoghooghi et al. https://doi.org/10.1088/1742-6596/2767/3/032026
- Feedforward individual pitch control of wind turbines in the nominal region M. Lara et al. https://doi.org/10.1088/1742-6596/3224/5/052002
- Enfoque anticipativo de control de paso individual en turbinas eólicas M. Lara Ortiz et al. https://doi.org/10.17979/ja-cea.2025.46.12058
- Added value of site load measurements in probabilistic lifetime extension: a Lillgrund case study S. Mozafari et al. https://doi.org/10.5194/wes-11-621-2026
- Impact of low-frequency fluctuations on loads of a fixed-bottom offshore reference wind turbine A. Syed et al. https://doi.org/10.1088/1742-6596/2767/5/052041
- Data-Driven Modeling for Wind Turbine Blade Loads Based on Deep Neural Network J. Ao et al. https://doi.org/10.32604/ee.2024.055250
- Digital shadows with optimized bias correction for accurate wind turbine fatigue load estimation H. Hoghooghi & C. Bottasso https://doi.org/10.1088/1742-6596/3224/6/062003
- Structural load estimation of the wheel loader for customer usage profile monitoring J. Cho et al. https://doi.org/10.1007/s12206-024-0620-0
- Individual pitch controller with static inverted decoupling for periodic blade load reduction on monopile offshore wind turbines M. Lara et al. https://doi.org/10.1016/j.oceaneng.2025.121608
- Characterizing fatigue damage by waves and wind using experimental data of a 6 MW monopile offshore wind turbine S. Lauterbach et al. https://doi.org/10.1016/j.weer.2026.100030
- Surrogate Models for Wind Turbine Load Estimation – Validation with Field Data S. Kottakat et al. https://doi.org/10.1088/1742-6596/3224/6/062057
- A reduced order analytical model to reconstruct tower bending moments time series of onshore wind turbines validated with experimental data F. Pimenta et al. https://doi.org/10.1016/j.jsv.2026.119781
Saved (final revised paper)
Latest update: 13 Jun 2026
Short summary
The article delineates a novel procedure to use 10 min measurement statistics with few known parameters of the wind turbine to determine the long-term fatigue damage probability and compare this with the expected damage levels from the design to provide an indicator of structural reliability and remaining life. The results are validated with load measurements from a wind turbine within an offshore wind farm.
The article delineates a novel procedure to use 10 min measurement statistics with few known...
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