Articles | Volume 4, issue 3
https://doi.org/10.5194/wes-4-479-2019
© Author(s) 2019. 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-4-479-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Sep 2019
Research article |
| 10 Sep 2019
| 10 Sep 2019
Sensitivity analysis of the effect of wind characteristics and turbine properties on wind turbine loads
National Renewable Energy Laboratory, 15013 Denver West Parkway,
Golden, CO 80401, USA
Kelsey Shaler
National Renewable Energy Laboratory, 15013 Denver West Parkway,
Golden, CO 80401, USA
Latha Sethuraman
National Renewable Energy Laboratory, 15013 Denver West Parkway,
Golden, CO 80401, USA
Jason Jonkman
National Renewable Energy Laboratory, 15013 Denver West Parkway,
Golden, CO 80401, USA
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34 citations as recorded by crossref.
- Analysis of offshore wind spectra and coherence under neutral stability condition using the two LES models PALM and SOWFA X. Ning et al. 10.1088/1742-6596/2018/1/012027
- An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools H. Verdonck et al. 10.1088/1742-6596/2265/4/042039
- From shear to veer: theory, statistics, and practical application M. Kelly & M. van der Laan 10.5194/wes-8-975-2023
- Influence of wind-wave characteristics on floating wind turbine loads: A sensitivity analysis across different floating concepts L. Reddy et al. 10.1088/1742-6596/2767/6/062030
- Investigation of H∞$$ {\mathcal{H}}_{\infty } $$‐Tuned Individual Pitch Control for Wind Turbines A. Henry et al. 10.1002/we.2945
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- Transient torque reversals in indirect drive wind turbines S. Sarkar et al. 10.1002/we.2824
- Allowable Pitch Angle of Aerodynamic Imbalance Due to Individual Pitch Movement for Ultimate Loads on Offshore Wind Turbine Using Artificial Neural Network B. Kim et al. 10.3390/app12105177
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities V. Pettas & P. Cheng 10.3390/en17061284
- Quantifying the impact of sensor precision on power output of a wind turbine: A sensitivity analysis via Monte Carlo simulation study M. Sarbandi & H. Khaloozadeh 10.1177/0309524X231211315
- Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison H. Verdonck et al. 10.5194/wes-9-1747-2024
- Reliability‐based layout optimization in offshore wind energy systems C. Clark et al. 10.1002/we.2664
- Hierarchical sensitivity study on the aeroelastic stability of the IEA 15 MW reference wind turbine H. Verdonck & O. Hach 10.1088/1742-6596/2767/2/022036
- Variable importance analysis of wind turbine extreme responses with Shapley value explanation X. Zhang & N. Dimitrov 10.1016/j.renene.2024.121049
- Unfrozen Skewed Turbulence for Wind Loading on Structures E. Cheynet et al. 10.3390/app12199537
- Blade loading performance of a floating wind turbine in wave basin model tests B. Wen et al. 10.1016/j.oceaneng.2020.107061
- Assessment of sensitivity and accuracy of BEM-based aeroelastic models on wind turbine load predictions M. Caboni et al. 10.1088/1742-6596/1618/4/042015
- Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures A. Shittu et al. 10.1016/j.ijnaoe.2022.100441
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- Data analysis of the TetraSpar demonstrator measurements D. Singh et al. 10.1088/1742-6596/2767/6/062025
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- Wind power variation by wind veer characteristics with two wind farms U. Tumenbayar & K. Ko 10.1038/s41598-023-37957-6
- Effect of the integral length scales of turbulent inflows on wind turbine loads B. Stanislawski et al. 10.1016/j.renene.2023.119218
- Shell buckling of suction buckets for offshore wind turbines considering imperfection and soil parameter sensitivity M. Böhm et al. 10.1016/j.engstruct.2023.117310
- Wind turbine quantification and reduction of uncertainties based on a data-driven data assimilation approach A. Hirvoas et al. 10.1063/5.0086255
- Sensitivity of fatigue reliability in wind turbines: effects of design turbulence and the Wöhler exponent S. Mozafari et al. 10.5194/wes-9-799-2024
- Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains R. Barthelmie et al. 10.3390/en13164269
- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
- Increasing turbine dimensions: impact on shear and power R. Barthelmie et al. 10.1088/1742-6596/1618/6/062024
- Fatigue design sensitivities of large monopile offshore wind turbines S. Sørum et al. 10.1002/we.2755
- Investigation of wind veer characteristics on complex terrain using ground-based lidar U. Tumenbayar & K. Ko 10.14710/ijred.2023.56352
- Quantification and reduction of uncertainties in a wind turbine numerical model based on a global sensitivity analysis and a recursive Bayesian inference approach A. Hirvoas et al. 10.1002/nme.6630
33 citations as recorded by crossref.
- Analysis of offshore wind spectra and coherence under neutral stability condition using the two LES models PALM and SOWFA X. Ning et al. 10.1088/1742-6596/2018/1/012027
- An open-source framework for the uncertainty quantification of aeroelastic wind turbine simulation tools H. Verdonck et al. 10.1088/1742-6596/2265/4/042039
- From shear to veer: theory, statistics, and practical application M. Kelly & M. van der Laan 10.5194/wes-8-975-2023
- Influence of wind-wave characteristics on floating wind turbine loads: A sensitivity analysis across different floating concepts L. Reddy et al. 10.1088/1742-6596/2767/6/062030
- Investigation of H∞$$ {\mathcal{H}}_{\infty } $$‐Tuned Individual Pitch Control for Wind Turbines A. Henry et al. 10.1002/we.2945
- Sensitivity analysis of numerical modeling input parameters on floating offshore wind turbine loads W. Wiley et al. 10.5194/wes-8-1575-2023
- Transient torque reversals in indirect drive wind turbines S. Sarkar et al. 10.1002/we.2824
- Allowable Pitch Angle of Aerodynamic Imbalance Due to Individual Pitch Movement for Ultimate Loads on Offshore Wind Turbine Using Artificial Neural Network B. Kim et al. 10.3390/app12105177
- Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
- Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities V. Pettas & P. Cheng 10.3390/en17061284
- Quantifying the impact of sensor precision on power output of a wind turbine: A sensitivity analysis via Monte Carlo simulation study M. Sarbandi & H. Khaloozadeh 10.1177/0309524X231211315
- Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison H. Verdonck et al. 10.5194/wes-9-1747-2024
- Reliability‐based layout optimization in offshore wind energy systems C. Clark et al. 10.1002/we.2664
- Hierarchical sensitivity study on the aeroelastic stability of the IEA 15 MW reference wind turbine H. Verdonck & O. Hach 10.1088/1742-6596/2767/2/022036
- Variable importance analysis of wind turbine extreme responses with Shapley value explanation X. Zhang & N. Dimitrov 10.1016/j.renene.2024.121049
- Unfrozen Skewed Turbulence for Wind Loading on Structures E. Cheynet et al. 10.3390/app12199537
- Blade loading performance of a floating wind turbine in wave basin model tests B. Wen et al. 10.1016/j.oceaneng.2020.107061
- Assessment of sensitivity and accuracy of BEM-based aeroelastic models on wind turbine load predictions M. Caboni et al. 10.1088/1742-6596/1618/4/042015
- Sensitivity analysis of design parameters for reliability assessment of offshore wind turbine jacket support structures A. Shittu et al. 10.1016/j.ijnaoe.2022.100441
- Wind Fields in Category 1–3 Tropical Cyclones Are Not Fully Represented in Wind Turbine Design Standards M. Sanchez Gomez et al. 10.1029/2023JD039233
- Data analysis of the TetraSpar demonstrator measurements D. Singh et al. 10.1088/1742-6596/2767/6/062025
- Uncertainty and Global Sensitivity Analysis of Wind Turbines Fatigue in Non-ideal Conditions B. Mazetto & T. Ritto 10.1007/s42417-022-00632-7
- Sensitivity analysis of the effect of wind and wake characteristics on wind turbine loads in a small wind farm K. Shaler et al. 10.5194/wes-8-25-2023
- Wind power variation by wind veer characteristics with two wind farms U. Tumenbayar & K. Ko 10.1038/s41598-023-37957-6
- Effect of the integral length scales of turbulent inflows on wind turbine loads B. Stanislawski et al. 10.1016/j.renene.2023.119218
- Shell buckling of suction buckets for offshore wind turbines considering imperfection and soil parameter sensitivity M. Böhm et al. 10.1016/j.engstruct.2023.117310
- Wind turbine quantification and reduction of uncertainties based on a data-driven data assimilation approach A. Hirvoas et al. 10.1063/5.0086255
- Sensitivity of fatigue reliability in wind turbines: effects of design turbulence and the Wöhler exponent S. Mozafari et al. 10.5194/wes-9-799-2024
- Power and Wind Shear Implications of Large Wind Turbine Scenarios in the US Central Plains R. Barthelmie et al. 10.3390/en13164269
- Turbulence in a coastal environment: the case of Vindeby R. Putri et al. 10.5194/wes-7-1693-2022
- Increasing turbine dimensions: impact on shear and power R. Barthelmie et al. 10.1088/1742-6596/1618/6/062024
- Fatigue design sensitivities of large monopile offshore wind turbines S. Sørum et al. 10.1002/we.2755
- Investigation of wind veer characteristics on complex terrain using ground-based lidar U. Tumenbayar & K. Ko 10.14710/ijred.2023.56352
Latest update: 22 Nov 2024
Short summary
This paper identifies the most sensitive parameters for the load response of a 5 MW wind turbine. Two sets of parameters are examined: one set relating to the wind excitation characteristics and a second related to the physical properties of the wind turbine. The two sensitivity analyses are done separately, and the top most-sensitive parameters are identified for different load outputs throughout the structure. The findings will guide future validation campaigns and measurement needs.
This paper identifies the most sensitive parameters for the load response of a 5 MW wind...
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