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Title: Contributions of the stochastic shape wake model to predictions of aerodynamic loads and power under single wake conditions

Abstract

The contribution of wake meandering and shape asymmetry to load and power estimates is quantified by comparing aeroelastic simulations initialized with different inflow conditions: an axisymmetric base wake, an unsteady stochastic shape wake, and a large-eddy simulation with rotating actuator-line turbine representation. Time series of blade-root and tower base bending moments are analyzed. We find that meandering has a large contribution to the fluctuation of the loads. Moreover, considering the wake edge intermittence via the stochastic shape model improves the simulation of load and power fluctuations and of the fatigue damage equivalent loads. Furthermore, these results indicate that the stochastic shape wake simulator is a valuable addition to simplified wake models when seeking to obtain higher-fidelity computationally inexpensive predictions of loads and power.

Authors:
 [1];  [1];  [1];  [2]
  1. Cornell Univ., Ithaca, NY (United States)
  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:
1335214
Report Number(s):
NREL/JA-5000-67537
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: G; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; modeling; simulation; wake meandering; shape asymmetry; aeroelastic simulations

Citation Formats

Doubrawa, P., Barthelmie, R. J., Wang, H., and Churchfield, M. J. Contributions of the stochastic shape wake model to predictions of aerodynamic loads and power under single wake conditions. United States: N. p., 2016. Web. https://doi.org/10.1088/1742-6596/753/8/082006.
Doubrawa, P., Barthelmie, R. J., Wang, H., & Churchfield, M. J. Contributions of the stochastic shape wake model to predictions of aerodynamic loads and power under single wake conditions. United States. https://doi.org/10.1088/1742-6596/753/8/082006
Doubrawa, P., Barthelmie, R. J., Wang, H., and Churchfield, M. J. Mon . "Contributions of the stochastic shape wake model to predictions of aerodynamic loads and power under single wake conditions". United States. https://doi.org/10.1088/1742-6596/753/8/082006. https://www.osti.gov/servlets/purl/1335214.
@article{osti_1335214,
title = {Contributions of the stochastic shape wake model to predictions of aerodynamic loads and power under single wake conditions},
author = {Doubrawa, P. and Barthelmie, R. J. and Wang, H. and Churchfield, M. J.},
abstractNote = {The contribution of wake meandering and shape asymmetry to load and power estimates is quantified by comparing aeroelastic simulations initialized with different inflow conditions: an axisymmetric base wake, an unsteady stochastic shape wake, and a large-eddy simulation with rotating actuator-line turbine representation. Time series of blade-root and tower base bending moments are analyzed. We find that meandering has a large contribution to the fluctuation of the loads. Moreover, considering the wake edge intermittence via the stochastic shape model improves the simulation of load and power fluctuations and of the fatigue damage equivalent loads. Furthermore, these results indicate that the stochastic shape wake simulator is a valuable addition to simplified wake models when seeking to obtain higher-fidelity computationally inexpensive predictions of loads and power.},
doi = {10.1088/1742-6596/753/8/082006},
journal = {Journal of Physics. Conference Series},
number = G,
volume = 753,
place = {United States},
year = {2016},
month = {10}
}

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Works referenced in this record:

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    Works referencing / citing this record:

    Optimization-Based Calibration of FAST.Farm Parameters against Large-Eddy Simulations
    conference, January 2018

    • Doubrawa, Paula; Annoni, Jennifer R.; Jonkman, Jason M.
    • 2018 Wind Energy Symposium
    • DOI: 10.2514/6.2018-0512