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A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures

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  • Häfele, Jan
  • Hübler, Clemens
  • Gebhardt, Cristian Guillermo
  • Rolfes, Raimund

Abstract

Designing jacket substructures for offshore wind turbines demands numerous time domain simulations to face different combinations of wind, wave, and current states. Regarding sophisticated design methods incorporating structural optimization algorithms, a load set reduction is highly desirable. To obtain knowledge about the required size of the design load set, a study on fatigue limit state load sets is conducted, which addresses mainly two aspects. The first one is a statistical evaluation of random subsets derived from probabilistic load sets with realistic environmental data obtained from the research platform FINO3. A full set comprising 2048 load simulations is gradually reduced to subsets and the results are compared to each other. The second aspect is a systematic load set reduction with the assumption of unidirectional wind, waves, and current. Firstly, critical directions are determined. Then, unidirectional load sets are systematically reduced. The corresponding damages are compared to those obtained from probabilistic load sets for eight test structures. It is shown that the omission of wind-, wave-, and current-misalignment does not necessarily imply an excessive simplification, if considered wisely. The outcome of this study can be used to decrease the numerical effort of the jacket design process and the levelized costs of energy.

Suggested Citation

  • Häfele, Jan & Hübler, Clemens & Gebhardt, Cristian Guillermo & Rolfes, Raimund, 2018. "A comprehensive fatigue load set reduction study for offshore wind turbines with jacket substructures," Renewable Energy, Elsevier, vol. 118(C), pages 99-112.
    • Handle: RePEc:eee:renene:v:118:y:2018:i:c:p:99-112
    DOI: 10.1016/j.renene.2017.10.097
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    References listed on IDEAS

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    1. Hübler, Clemens & Gebhardt, Cristian Guillermo & Rolfes, Raimund, 2017. "Hierarchical four-step global sensitivity analysis of offshore wind turbines based on aeroelastic time domain simulations," Renewable Energy, Elsevier, vol. 111(C), pages 878-891.
    2. Benedikt Ernst & Jörg R. Seume, 2012. "Investigation of Site-Specific Wind Field Parameters and Their Effect on Loads of Offshore Wind Turbines," Energies, MDPI, vol. 5(10), pages 1-21, October.
    3. Morató, A. & Sriramula, S. & Krishnan, N. & Nichols, J., 2017. "Ultimate loads and response analysis of a monopile supported offshore wind turbine using fully coupled simulation," Renewable Energy, Elsevier, vol. 101(C), pages 126-143.
    4. Toft, Henrik Stensgaard & Svenningsen, Lasse & Sørensen, John Dalsgaard & Moser, Wolfgang & Thøgersen, Morten Lybech, 2016. "Uncertainty in wind climate parameters and their influence on wind turbine fatigue loads," Renewable Energy, Elsevier, vol. 90(C), pages 352-361.
    5. Dong, Wenbin & Moan, Torgeir & Gao, Zhen, 2012. "Fatigue reliability analysis of the jacket support structure for offshore wind turbine considering the effect of corrosion and inspection," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 11-27.
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    Cited by:

    1. Pim van der Male & Marco Vergassola & Karel N. van Dalen, 2020. "Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures," Energies, MDPI, vol. 13(19), pages 1-35, October.
    2. Njiri, Jackson G. & Beganovic, Nejra & Do, Manh H. & Söffker, Dirk, 2019. "Consideration of lifetime and fatigue load in wind turbine control," Renewable Energy, Elsevier, vol. 131(C), pages 818-828.
    3. Ren, Chao & Xing, Yihan, 2023. "AK-MDAmax: Maximum fatigue damage assessment of wind turbine towers considering multi-location with an active learning approach," Renewable Energy, Elsevier, vol. 215(C).
    4. Clemens Hübler & Wout Weijtjens & Cristian G. Gebhardt & Raimund Rolfes & Christof Devriendt, 2019. "Validation of Improved Sampling Concepts for Offshore Wind Turbine Fatigue Design," Energies, MDPI, vol. 12(4), pages 1-20, February.
    5. Maximilian Henkel & Wout Weijtjens & Christof Devriendt, 2021. "Fatigue Stress Estimation for Submerged and Sub-Soil Welds of Offshore Wind Turbines on Monopiles Using Modal Expansion," Energies, MDPI, vol. 14(22), pages 1-21, November.
    6. Ju, Shen-Haw, 2022. "Increasing the fatigue life of offshore wind turbine jacket structures using yaw stiffness and damping," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Chen, Chao & Duffour, Philippe & Fromme, Paul & Hua, Xugang, 2021. "Numerically efficient fatigue life prediction of offshore wind turbines using aerodynamic decoupling," Renewable Energy, Elsevier, vol. 178(C), pages 1421-1434.
    8. Hübler, Clemens, 2020. "Global sensitivity analysis for medium-dimensional structural engineering problems using stochastic collocation," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    9. Ju, Shen-Haw & Su, Feng-Chien & Ke, Yi-Pei & Xie, Min-Hsuan, 2019. "Fatigue design of offshore wind turbine jacket-type structures using a parallel scheme," Renewable Energy, Elsevier, vol. 136(C), pages 69-78.

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