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Title: Trailed vorticity modeling for aeroelastic wind turbine simulations in stand still

Abstract

Current fast aeroelastic wind turbine codes suitable for certification lack an induction model for standstill conditions. A trailed vorticity model previously used as addition to a blade element momentum theory based aerodynamic model in normal operation has been extended to allow computing the induced velocities in standstill. The model is validated against analytical results for an elliptical wing in constant inflow and against stand still measurements from the NREL/NASA Phase VI unsteady experiment. The extended model obtains good results in case of the elliptical wing, but underpredicts the steady loading for the Phase VI blade in attached flow. The prediction of the dynamic force coefficient loops from the Phase VI experiment is improved by the trailed vorticity modeling in both attached flow and stall in most cases. The exception is the tangential force coefficient in stall, where the codes and measurements deviate and no clear improvement is visible.

Authors:
 [1];  [1];  [2]
  1. Technical Univ. of Denmark, Lyngby (Denmark). Wind Energy Dept.
  2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1335580
Report Number(s):
NREL/JA-5000-67548
Journal ID: ISSN 1742-6588
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 753; Journal Issue: C; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind turbine codes; simulation; aerodynamics

Citation Formats

Pirrung, Georg, Madsen, Helge, and Schreck, Scott. Trailed vorticity modeling for aeroelastic wind turbine simulations in stand still. United States: N. p., 2016. Web. doi:10.1088/1742-6596/753/4/042007.
Pirrung, Georg, Madsen, Helge, & Schreck, Scott. Trailed vorticity modeling for aeroelastic wind turbine simulations in stand still. United States. doi:https://doi.org/10.1088/1742-6596/753/4/042007
Pirrung, Georg, Madsen, Helge, and Schreck, Scott. Mon . "Trailed vorticity modeling for aeroelastic wind turbine simulations in stand still". United States. doi:https://doi.org/10.1088/1742-6596/753/4/042007. https://www.osti.gov/servlets/purl/1335580.
@article{osti_1335580,
title = {Trailed vorticity modeling for aeroelastic wind turbine simulations in stand still},
author = {Pirrung, Georg and Madsen, Helge and Schreck, Scott},
abstractNote = {Current fast aeroelastic wind turbine codes suitable for certification lack an induction model for standstill conditions. A trailed vorticity model previously used as addition to a blade element momentum theory based aerodynamic model in normal operation has been extended to allow computing the induced velocities in standstill. The model is validated against analytical results for an elliptical wing in constant inflow and against stand still measurements from the NREL/NASA Phase VI unsteady experiment. The extended model obtains good results in case of the elliptical wing, but underpredicts the steady loading for the Phase VI blade in attached flow. The prediction of the dynamic force coefficient loops from the Phase VI experiment is improved by the trailed vorticity modeling in both attached flow and stall in most cases. The exception is the tangential force coefficient in stall, where the codes and measurements deviate and no clear improvement is visible.},
doi = {10.1088/1742-6596/753/4/042007},
journal = {Journal of Physics. Conference Series},
number = C,
volume = 753,
place = {United States},
year = {2016},
month = {10}
}

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Cited by: 2 works
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Works referenced in this record:

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journal, March 2016

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    journal, September 2018

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    Aeroelastic stability of idling wind turbines
    journal, January 2017

    • Wang, Kai; Riziotis, Vasilis A.; Voutsinas, Spyros G.
    • Wind Energy Science, Vol. 2, Issue 2
    • DOI: 10.5194/wes-2-415-2017