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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Discussion papers
https://doi.org/10.5194/wes-2019-2
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2019-2
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research articles 04 Feb 2019

Research articles | 04 Feb 2019

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Wind Energy Science (WES) and is expected to appear here in due course.

Sensitivity of Uncertainty in Wind Characteristics and Wind Turbine Properties on Wind Turbine Extreme and Fatigue Loads

Amy N. Robertson, Kelsey Shaler, Latha Sethuraman, and Jason Jonkman Amy N. Robertson et al.
  • National Renewable Energy Laboratory, 15013 Denver West Parkway, Golden, CO 80401, USA

Abstract. Wind turbine design relies on the ability to accurately predict turbine ultimate and fatigue loads. The loads analysis process requires precise knowledge of the expected wind-inflow conditions as well as turbine structural and aerodynamic properties. However, uncertainty in most parameters is inevitable. It is therefore important to understand the impact such uncertainties have on the resulting loads. The goal of this work is to assess which input parameters have the greatest influence on turbine power, fatigue loads, and ultimate loads during normal turbine operation. An Elementary Effects (EE) sensitivity analysis is performed to identify the most sensitive parameters. Separate case studies are performed on (1) wind-inflow conditions and (2) turbine structural and aerodynamic properties, both using the National Renewable Energy Laboratory (NREL) 5-MW baseline wind turbine. The focus is on individual parameter sensitivity, though interactions between parameters are considered.

The results of this work show that for wind-inflow conditions, turbulence in the primary wind direction and shear are the most sensitivity parameters for turbine loads, which is expected. Secondary parameters of importance are identified as veer, u-direction integral length, and components of the IEC coherence model (au and bu), as well as the exponent (γ). For the turbine properties, the most sensitive parameters are yaw misalignment (θ) and outboard lift coefficient (Cl,t) distribution. This information can be used to help establish error bars around the predictions of engineering models during validation efforts, and provide insight to probabilistic design methods and site-suitability analyses.

Amy N. Robertson et al.
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Amy N. Robertson et al.
Amy N. Robertson et al.
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Latest update: 23 Jul 2019
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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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