Articles | Volume 2, issue 2
https://doi.org/10.5194/wes-2-491-2017
© 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-2-491-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
26 Oct 2017
Research article |
| 26 Oct 2017
Development of a comprehensive database of scattering environmental conditions and simulation constraints for offshore wind turbines
Clemens Hübler
CORRESPONDING AUTHOR
Institute of Structural Analysis, Leibniz Universität Hannover, Appelstr. 9a, 30167 Hanover, Germany
Cristian Guillermo Gebhardt
Institute of Structural Analysis, Leibniz Universität Hannover, Appelstr. 9a, 30167 Hanover, Germany
Raimund Rolfes
Institute of Structural Analysis, Leibniz Universität Hannover, Appelstr. 9a, 30167 Hanover, Germany
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Cited
26 citations as recorded by crossref.
- On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus V. Pettas et al. https://doi.org/10.5194/wes-6-1455-2021
- A novel dataset and feature selection for data-driven conceptual design of offshore jacket substructures H. Qian et al. https://doi.org/10.1016/j.oceaneng.2024.117679
- Polymorphic uncertainty in met-ocean conditions and the influence on fatigue loads C. Hübler et al. https://doi.org/10.1088/1742-6596/1669/1/012005
- Reliability assessment of an offshore wind turbine jacket under one ultimate limit state considering stress concentration with active learning approaches C. Ren et al. https://doi.org/10.1016/j.oceaneng.2023.114657
- Analysis of the influence of climate change on the fatigue lifetime of offshore wind turbines using imprecise probabilities C. Hübler & R. Rolfes https://doi.org/10.1002/we.2572
- Stiffness-proportional foundation damping to linearise soil-monopile interaction models for wind turbines A. Tombari et al. https://doi.org/10.1016/j.soildyn.2025.109387
- Embedding physical constraints into C-vine copulas for joint probabilistic modeling of wind-wave parameters Y. Song et al. https://doi.org/10.1007/s00477-026-03234-x
- Nonlinear dynamics of slender structures: a new object-oriented framework C. Gebhardt et al. https://doi.org/10.1007/s00466-018-1592-7
- Effect of turbulence intensity on the linear quadratic control of spar buoy floating wind turbines R. da Cunha Barroso Ramos https://doi.org/10.1007/s40868-021-00098-4
- Effects of Simulation Length and Flexible Foundation on Long-Term Response Extrapolation of a Bottom-Fixed Offshore Wind Turbine D. Barreto et al. https://doi.org/10.1115/1.4053030
- Dynamic coupling of wake added turbulence and array effects: nonlinear impacts on power performance and fatigue damage of 22 MW floating offshore wind turbines Z. Xu et al. https://doi.org/10.1016/j.renene.2026.125441
- An open-access database for meta-models for fatigue calculations of reference wind turbines F. Schmidt et al. https://doi.org/10.1088/1742-6596/3224/7/072003
- Analysis of Offshore Wind Turbine by considering Soil-Pile-Structure Interaction: Effects of Foundation and Sea-Wave Properties M. Fard et al. https://doi.org/10.1080/13632469.2021.1961936
- Site-specific ultimate limit state fragility of offshore wind turbines on monopile substructures D. Wilkie & C. Galasso https://doi.org/10.1016/j.engstruct.2019.109903
- Impact of climate-change scenarios on offshore wind turbine structural performance D. Wilkie & C. Galasso https://doi.org/10.1016/j.rser.2020.110323
- Meta-model-based fatigue analysis of 25 MW offshore jackets: relevance of wind and wave conditions M. Moattari et al. https://doi.org/10.1016/j.oceaneng.2026.124475
- Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation C. Hübler https://doi.org/10.1016/j.ress.2019.106749
- Uncertainty models for the structural design of floating offshore wind turbines: A review M. Ramezani et al. https://doi.org/10.1016/j.rser.2023.113610
- A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models J. Häfele et al. https://doi.org/10.5194/wes-3-553-2018
- Assessment of a standard ULS design procedure for offshore wind turbine sub-structures C. Hübler et al. https://doi.org/10.1088/1742-6596/1104/1/012013
- Exploring uncharted waters of future crop systems: Pioneering Ulva intestinalis seedling development for a sustainable full-life-cycle offshore aquaculture in the wider Baltic Sea area S. Steinhagen et al. https://doi.org/10.1007/s10811-026-03867-z
- Methodologies for fatigue assessment of offshore wind turbines considering scattering environmental conditions and the uncertainty due to finite sampling C. Hübler et al. https://doi.org/10.1002/we.2216
- Gaussian process regression for fatigue reliability analysis of offshore wind turbines D. Wilkie & C. Galasso https://doi.org/10.1016/j.strusafe.2020.102020
- Kriging meta-models for damage equivalent load assessment of idling offshore wind turbines F. Schmidt et al. https://doi.org/10.5194/wes-10-3069-2025
- A comparison study on jacket substructures for offshore wind turbines based on optimization J. Häfele et al. https://doi.org/10.5194/wes-4-23-2019
- Influence of structural design variations on economic viability of offshore wind turbines: An interdisciplinary analysis C. Hübler et al. https://doi.org/10.1016/j.renene.2019.06.113
26 citations as recorded by crossref.
- On the effects of inter-farm interactions at the offshore wind farm Alpha Ventus V. Pettas et al. https://doi.org/10.5194/wes-6-1455-2021
- A novel dataset and feature selection for data-driven conceptual design of offshore jacket substructures H. Qian et al. https://doi.org/10.1016/j.oceaneng.2024.117679
- Polymorphic uncertainty in met-ocean conditions and the influence on fatigue loads C. Hübler et al. https://doi.org/10.1088/1742-6596/1669/1/012005
- Reliability assessment of an offshore wind turbine jacket under one ultimate limit state considering stress concentration with active learning approaches C. Ren et al. https://doi.org/10.1016/j.oceaneng.2023.114657
- Analysis of the influence of climate change on the fatigue lifetime of offshore wind turbines using imprecise probabilities C. Hübler & R. Rolfes https://doi.org/10.1002/we.2572
- Stiffness-proportional foundation damping to linearise soil-monopile interaction models for wind turbines A. Tombari et al. https://doi.org/10.1016/j.soildyn.2025.109387
- Embedding physical constraints into C-vine copulas for joint probabilistic modeling of wind-wave parameters Y. Song et al. https://doi.org/10.1007/s00477-026-03234-x
- Nonlinear dynamics of slender structures: a new object-oriented framework C. Gebhardt et al. https://doi.org/10.1007/s00466-018-1592-7
- Effect of turbulence intensity on the linear quadratic control of spar buoy floating wind turbines R. da Cunha Barroso Ramos https://doi.org/10.1007/s40868-021-00098-4
- Effects of Simulation Length and Flexible Foundation on Long-Term Response Extrapolation of a Bottom-Fixed Offshore Wind Turbine D. Barreto et al. https://doi.org/10.1115/1.4053030
- Dynamic coupling of wake added turbulence and array effects: nonlinear impacts on power performance and fatigue damage of 22 MW floating offshore wind turbines Z. Xu et al. https://doi.org/10.1016/j.renene.2026.125441
- An open-access database for meta-models for fatigue calculations of reference wind turbines F. Schmidt et al. https://doi.org/10.1088/1742-6596/3224/7/072003
- Analysis of Offshore Wind Turbine by considering Soil-Pile-Structure Interaction: Effects of Foundation and Sea-Wave Properties M. Fard et al. https://doi.org/10.1080/13632469.2021.1961936
- Site-specific ultimate limit state fragility of offshore wind turbines on monopile substructures D. Wilkie & C. Galasso https://doi.org/10.1016/j.engstruct.2019.109903
- Impact of climate-change scenarios on offshore wind turbine structural performance D. Wilkie & C. Galasso https://doi.org/10.1016/j.rser.2020.110323
- Meta-model-based fatigue analysis of 25 MW offshore jackets: relevance of wind and wave conditions M. Moattari et al. https://doi.org/10.1016/j.oceaneng.2026.124475
- Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation C. Hübler https://doi.org/10.1016/j.ress.2019.106749
- Uncertainty models for the structural design of floating offshore wind turbines: A review M. Ramezani et al. https://doi.org/10.1016/j.rser.2023.113610
- A systematic approach to offshore wind turbine jacket predesign and optimization: geometry, cost, and surrogate structural code check models J. Häfele et al. https://doi.org/10.5194/wes-3-553-2018
- Assessment of a standard ULS design procedure for offshore wind turbine sub-structures C. Hübler et al. https://doi.org/10.1088/1742-6596/1104/1/012013
- Exploring uncharted waters of future crop systems: Pioneering Ulva intestinalis seedling development for a sustainable full-life-cycle offshore aquaculture in the wider Baltic Sea area S. Steinhagen et al. https://doi.org/10.1007/s10811-026-03867-z
- Methodologies for fatigue assessment of offshore wind turbines considering scattering environmental conditions and the uncertainty due to finite sampling C. Hübler et al. https://doi.org/10.1002/we.2216
- Gaussian process regression for fatigue reliability analysis of offshore wind turbines D. Wilkie & C. Galasso https://doi.org/10.1016/j.strusafe.2020.102020
- Kriging meta-models for damage equivalent load assessment of idling offshore wind turbines F. Schmidt et al. https://doi.org/10.5194/wes-10-3069-2025
- A comparison study on jacket substructures for offshore wind turbines based on optimization J. Häfele et al. https://doi.org/10.5194/wes-4-23-2019
- Influence of structural design variations on economic viability of offshore wind turbines: An interdisciplinary analysis C. Hübler et al. https://doi.org/10.1016/j.renene.2019.06.113
Saved (final revised paper)
Latest update: 01 Jun 2026
Short summary
For the design of offshore wind turbines, the knowledge of environmental conditions is important. However, real high-quality data are rare. This is why a comprehensive database of environmental conditions at wind turbine locations in the North and Baltic Sea is derived using real data. The main purpose of this work is to collect realistic data for probabilistic approaches. Hence, all results are freely available.
For the design of offshore wind turbines, the knowledge of environmental conditions is...
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