4.7 Article

Estimation of blade forces in wind turbines using blade root strain measurements with OpenFAST verification

Journal

RENEWABLE ENERGY
Volume 184, Issue -, Pages 662-676

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2021.11.094

Keywords

Wind turbines; Condition monitoring; Strain sensors; Wind energy; Structural health monitoring

Funding

  1. National Science Foundation [1903972]
  2. Div Of Civil, Mechanical, & Manufact Inn
  3. Directorate For Engineering [1903972] Funding Source: National Science Foundation

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This paper introduces an inference method for computing the forces and bending moments on operating wind turbine blades using strain measurements and SCADA data. The method accurately estimates the internal forces and bending moments on the blades by inferring missing information and comparing with a reference turbine.
This paper introduces an inference method for computing the forces and bending moments on operating wind turbine blades using strain measurements and supervisory control and data acquisition (SCADA) data. Operational data from four months of a Clipper Liberty C96 2.5 MW turbine instrumented with interferometric strain sensors at the blade roots as well as SCADA data such as wind speed, rotor hub speed, and blade pitch angle allow for accurate calculation of blade forces and moments. To perform such calculations, certain structural properties of the turbine blades must be inferred in the absence of detailed, proprietary information. This is done by inferring missing information from the National Renewable Energy Laboratory (NREL) 3 MW WindPACT reference wind turbine specifications. The derived forces and moments computed on the blades of the Clipper turbine are compared with the behavior of the NREL 3 MW reference turbine according to OpenFAST simulation outputs. Comparison of blade root reaction forces to OpenFAST outputs match closely, demonstrating that this inference method can be used to successfully estimate the internal forces and bending moments acting on the blades. These methods are useful on turbines for which all the structural information is not available.(c) 2021 Elsevier Ltd. All rights reserved.

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