Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-469-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/wes-2-469-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Brief communication
| 
12 Sep 2017
Brief communication |
| 12 Sep 2017
Brief communication: Structural monitoring for lifetime extension of offshore wind monopiles: can strain measurements at one level tell us everything?
Ramboll Wind, 20097 Hamburg, Germany
Department of Civil and Environmental Engineering, Norwegian
University of Science and Technology NTNU, 7491 Trondheim, Norway
Ursula Smolka
Ramboll Wind, 20097 Hamburg, Germany
Nicolai Cosack
Ramboll Wind, 20097 Hamburg, Germany
Michael Muskulus
Department of Civil and Environmental Engineering, Norwegian
University of Science and Technology NTNU, 7491 Trondheim, Norway
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Cited
20 citations as recorded by crossref.
- A systematic Failure Mode Effects and Criticality Analysis for offshore wind turbine systems towards integrated condition based maintenance strategies M. Scheu et al. 10.1016/j.oceaneng.2019.02.048
- Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks F. de N Santos et al. 10.1016/j.renene.2023.01.093
- Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers F. de N Santos et al. 10.1002/we.2888
- Strain estimation for offshore wind turbines with jacket substructures using dual-band modal expansion M. Henkel et al. 10.1016/j.marstruc.2020.102731
- Validated extrapolation of measured damage within an offshore wind farm using instrumented fleet leaders N. Noppe et al. 10.1088/1742-6596/1618/2/022005
- Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression S. Gibson et al. 10.1177/14759217221140080
- Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations E. Branlard et al. 10.5194/wes-5-1155-2020
- Structural monitoring for lifetime extension of offshore wind monopiles: Verification of strain-based load extrapolation algorithm L. Ziegler et al. 10.1016/j.marstruc.2019.04.003
- Preliminary Test for 3D Surface Strain Measurement in the Tower and Foundation of Offshore Wind Turbines Using DOFS T. Yang et al. 10.3390/s23156734
- Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities M. Shafiee 10.3390/en17164191
- Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK L. Ziegler et al. 10.1016/j.rser.2017.09.100
- Systems Engineering for Lidar-Assisted Control: A Sequential Approach D. Schlipf et al. 10.1088/1742-6596/1102/1/012014
- Modeling of quasi-static thrust load of wind turbines based on 1 s SCADA data N. Noppe et al. 10.5194/wes-3-139-2018
- Probabilistic temporal extrapolation of fatigue damage of offshore wind turbine substructures based on strain measurements C. Hübler & R. Rolfes 10.5194/wes-7-1919-2022
- A review of challenges and framework development for corrosion fatigue life assessment of monopile-supported horizontal-axis offshore wind turbines V. Okenyi et al. 10.1080/17445302.2022.2140531
- Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022
- Virtual sensing in an onshore wind turbine tower using a Gaussian process latent force model J. Bilbao et al. 10.1017/dce.2022.38
- A Framework and Baseline for the Integration of a Sustainable Circular Economy in Offshore Wind A. Velenturf 10.3390/en14175540
- A digital twin solution for floating offshore wind turbines validated using a full-scale prototype E. Branlard et al. 10.5194/wes-9-1-2024
- Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation M. Martinez-Luengo et al. 10.1016/j.oceaneng.2019.01.003
20 citations as recorded by crossref.
- A systematic Failure Mode Effects and Criticality Analysis for offshore wind turbine systems towards integrated condition based maintenance strategies M. Scheu et al. 10.1016/j.oceaneng.2019.02.048
- Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks F. de N Santos et al. 10.1016/j.renene.2023.01.093
- Farm‐wide interface fatigue loads estimation: A data‐driven approach based on accelerometers F. de N Santos et al. 10.1002/we.2888
- Strain estimation for offshore wind turbines with jacket substructures using dual-band modal expansion M. Henkel et al. 10.1016/j.marstruc.2020.102731
- Validated extrapolation of measured damage within an offshore wind farm using instrumented fleet leaders N. Noppe et al. 10.1088/1742-6596/1618/2/022005
- Distributions of fatigue damage from data-driven strain prediction using Gaussian process regression S. Gibson et al. 10.1177/14759217221140080
- Augmented Kalman filter with a reduced mechanical model to estimate tower loads on a land-based wind turbine: a step towards digital-twin simulations E. Branlard et al. 10.5194/wes-5-1155-2020
- Structural monitoring for lifetime extension of offshore wind monopiles: Verification of strain-based load extrapolation algorithm L. Ziegler et al. 10.1016/j.marstruc.2019.04.003
- Preliminary Test for 3D Surface Strain Measurement in the Tower and Foundation of Offshore Wind Turbines Using DOFS T. Yang et al. 10.3390/s23156734
- Extending the Lifetime of Offshore Wind Turbines: Challenges and Opportunities M. Shafiee 10.3390/en17164191
- Lifetime extension of onshore wind turbines: A review covering Germany, Spain, Denmark, and the UK L. Ziegler et al. 10.1016/j.rser.2017.09.100
- Systems Engineering for Lidar-Assisted Control: A Sequential Approach D. Schlipf et al. 10.1088/1742-6596/1102/1/012014
- Modeling of quasi-static thrust load of wind turbines based on 1 s SCADA data N. Noppe et al. 10.5194/wes-3-139-2018
- Probabilistic temporal extrapolation of fatigue damage of offshore wind turbine substructures based on strain measurements C. Hübler & R. Rolfes 10.5194/wes-7-1919-2022
- A review of challenges and framework development for corrosion fatigue life assessment of monopile-supported horizontal-axis offshore wind turbines V. Okenyi et al. 10.1080/17445302.2022.2140531
- Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022
- Virtual sensing in an onshore wind turbine tower using a Gaussian process latent force model J. Bilbao et al. 10.1017/dce.2022.38
- A Framework and Baseline for the Integration of a Sustainable Circular Economy in Offshore Wind A. Velenturf 10.3390/en14175540
- A digital twin solution for floating offshore wind turbines validated using a full-scale prototype E. Branlard et al. 10.5194/wes-9-1-2024
- Data management for structural integrity assessment of offshore wind turbine support structures: data cleansing and missing data imputation M. Martinez-Luengo et al. 10.1016/j.oceaneng.2019.01.003
Latest update: 14 Dec 2024
Short summary
The first larger offshore wind farms are reaching a mature age. Operators have to take actions for monitoring now in order to have accurate knowledge on structural reserves later. This knowledge is important to make decisions on lifetime extension. Many offshore wind turbines have one set of strain gauges already installed at the transition piece. We present a simple and robust method to extrapolate these measurements to other locations of the monopile without need of additional instrumentation.
The first larger offshore wind farms are reaching a mature age. Operators have to take actions...
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