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Title: Toward flow control: An assessment of the curled wake model in the FLORIS framework

Abstract

In this work, a new controls-oriented wake model is modified and compared to an analytical Gaussian wake model, high-fidelity simulation data, and experimental wind tunnel campaign. This model, called the curled wake model, captures a wake phenomenon that occurs behind yawed turbines, modeled as a collection of vortices shed from the rotor plane. Through turbine simulations, these vortices are shown to have a significant impact on the prediction of the wake steering's performance. Overall, the results support the concept of secondary steering, or a yawed turbine's ability to deflect the wake of a downstream turbine, and suggest that future turbine wake studies and yaw optimizations should include the curled wake phenomenon.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [2]; ORCiD logo [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States). National Wind Technology Center
  2. Univ. of Oldenburg (Germany). Inst. of Physics
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
OSTI Identifier:
1665812
Report Number(s):
NREL/JA-5000-77138
Journal ID: ISSN 1742-6588; MainId:26084;UUID:f24c4bc7-43f7-4de7-8aea-f203bd3ac7b1;MainAdminID:17351
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1618; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
49 EE - Wind and Water Power Program - Wind (EE-4W); FLORIS; wind energy; wind farm control; offshore wind energy; flow control

Citation Formats

Bay, Christopher J., King, Jennifer, Martinez-Tossas, Luis A., Mudafort, Rafael, Hulsman, Paul, Kühn, Martin, and Fleming, Paul. Toward flow control: An assessment of the curled wake model in the FLORIS framework. United States: N. p., 2020. Web. doi:10.1088/1742-6596/1618/2/022033.
Bay, Christopher J., King, Jennifer, Martinez-Tossas, Luis A., Mudafort, Rafael, Hulsman, Paul, Kühn, Martin, & Fleming, Paul. Toward flow control: An assessment of the curled wake model in the FLORIS framework. United States. doi:10.1088/1742-6596/1618/2/022033.
Bay, Christopher J., King, Jennifer, Martinez-Tossas, Luis A., Mudafort, Rafael, Hulsman, Paul, Kühn, Martin, and Fleming, Paul. Tue . "Toward flow control: An assessment of the curled wake model in the FLORIS framework". United States. doi:10.1088/1742-6596/1618/2/022033. https://www.osti.gov/servlets/purl/1665812.
@article{osti_1665812,
title = {Toward flow control: An assessment of the curled wake model in the FLORIS framework},
author = {Bay, Christopher J. and King, Jennifer and Martinez-Tossas, Luis A. and Mudafort, Rafael and Hulsman, Paul and Kühn, Martin and Fleming, Paul},
abstractNote = {In this work, a new controls-oriented wake model is modified and compared to an analytical Gaussian wake model, high-fidelity simulation data, and experimental wind tunnel campaign. This model, called the curled wake model, captures a wake phenomenon that occurs behind yawed turbines, modeled as a collection of vortices shed from the rotor plane. Through turbine simulations, these vortices are shown to have a significant impact on the prediction of the wake steering's performance. Overall, the results support the concept of secondary steering, or a yawed turbine's ability to deflect the wake of a downstream turbine, and suggest that future turbine wake studies and yaw optimizations should include the curled wake phenomenon.},
doi = {10.1088/1742-6596/1618/2/022033},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1618,
place = {United States},
year = {2020},
month = {9}
}

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