Preprints
https://doi.org/10.5194/wes-2023-166
https://doi.org/10.5194/wes-2023-166
16 Jan 2024
 | 16 Jan 2024
Status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

One-to-one aeroservoelastic validation of operational loads and performance of a 2.8 MW wind turbine model in OpenFAST

Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Chris Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind

Abstract. This paper presents a validation study of the popular aeroservoelastic code suite OpenFAST leveraging weeks of measurements obtained during normal operation of a 2.8 MW land-based wind turbine. Measured wind conditions were used to generate one-to-one turbulent flow fields (i.e., comparing simulation to measurement in 10-minute increments, or bins) through unconstrained and constrained assimilation methods using the kinematic turbulence generators TurbSim and PyConTurb. A total of 253 10-minute bins of normal turbine operation were selected for analysis, and a statistical comparison in terms of performance and loads is presented. We show that successful validation of the model is not strongly dependent on the type of inflow assimilation method used for mean quantities of interest, which have modeling errors generally within 5–10 % of the measurement. The type of inflow assimilation method does have a larger effect on the fatigue predictions for blade-root flapwise and tower-base fore-aft quantities, which surprisingly see larger errors from the assumed higher-fidelity assimilation methods. Further work including improvements to the induction modeling in OpenFAST during high shear, as well as other possible improvements to the aerodynamic, blade, and controller modeling, may offer insight on the origin of the ∼5–40 % overprediction of fatigue for these quantities.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Chris Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-166', Anonymous Referee #1, 06 Feb 2024
  • RC2: 'Comment on wes-2023-166', Anonymous Referee #2, 10 Feb 2024
  • RC3: 'Comment on wes-2023-166', Anonymous Referee #3, 08 Mar 2024
  • RC4: 'Comment on wes-2023-166', Anonymous Referee #4, 20 Mar 2024
  • AC1: 'Comment on wes-2023-166', Kenneth Brown, 11 Jun 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2023-166', Anonymous Referee #1, 06 Feb 2024
  • RC2: 'Comment on wes-2023-166', Anonymous Referee #2, 10 Feb 2024
  • RC3: 'Comment on wes-2023-166', Anonymous Referee #3, 08 Mar 2024
  • RC4: 'Comment on wes-2023-166', Anonymous Referee #4, 20 Mar 2024
  • AC1: 'Comment on wes-2023-166', Kenneth Brown, 11 Jun 2024
Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Chris Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind
Kenneth Brown, Pietro Bortolotti, Emmanuel Branlard, Mayank Chetan, Scott Dana, Nathaniel deVelder, Paula Doubrawa, Nicholas Hamilton, Chris Ivanov, Jason Jonkman, Christopher Kelley, and Daniel Zalkind

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Short summary
This paper presents a study of the popular wind turbine design tool OpenFAST. We compare simulation results to measurements obtained from a 2.8 MW land-based wind turbine. Measured wind conditions were used to generate turbulent flowfields through several techniques. We show that successful validation of the tool is not strongly dependent on the inflow generation technique used for mean quantities of interest. The type of inflow assimilation method has a larger effect on fatigue quantities.
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