Exploring the complexities associated with full-scale wind plant wake mitigation control experiments

<p>Recent research promotes implementing next-generation wind plant control methods to mitigate turbine-to-turbine wake effects. Numerical simulation and wind tunnel experiments have previously demonstrated the potential benefit of wind plant control for wind plant optimization, but full-scale...

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Main Authors: J. B. Duncan Jr., B. D. Hirth, J. L. Schroeder
Format: Article
Language:English
Published: Copernicus Publications 2020-04-01
Series:Wind Energy Science
Online Access:https://www.wind-energ-sci.net/5/469/2020/wes-5-469-2020.pdf
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spelling doaj-5a3b9552c52844c59bfc24bca62caaca2020-11-25T02:32:10ZengCopernicus PublicationsWind Energy Science2366-74432366-74512020-04-01546948810.5194/wes-5-469-2020Exploring the complexities associated with full-scale wind plant wake mitigation control experimentsJ. B. Duncan Jr.0B. D. Hirth1J. L. Schroeder2National Wind Institute, Texas Tech University, Lubbock, 79409, USANational Wind Institute, Texas Tech University, Lubbock, 79409, USADepartment of Geosciences, Texas Tech University, Lubbock, 79409, USA<p>Recent research promotes implementing next-generation wind plant control methods to mitigate turbine-to-turbine wake effects. Numerical simulation and wind tunnel experiments have previously demonstrated the potential benefit of wind plant control for wind plant optimization, but full-scale validation of the wake-mitigating control strategies remains limited. As part of this study, the yaw and blade pitch of a utility-scale wind turbine were strategically modified for a limited time period to examine wind turbine wake response to first-order turbine control changes. Wind turbine wake response was measured using Texas Tech University's Ka-band Doppler radars and dual-Doppler scanning strategies. Results highlight some of the complexities associated with executing and analyzing wind plant control at full scale using brief experimental control periods. Some difficulties include (1) the ability to accurately implement the desired control changes, (2) identifying reliable data sources and methods to allow these control changes to be accurately quantified, and (3) attributing variations in wake structure to turbine control changes rather than a response to the underlying atmospheric conditions (e.g., boundary layer streak orientation, atmospheric stability). To better understand wake sensitivity to the underlying atmospheric conditions, wake evolution within the early-evening transition was also examined using a single-Doppler data collection approach. Analysis of both wake length and meandering during this period of transitioning atmospheric stability indicates the potential benefit and feasibility of wind plant control should be enhanced when the atmosphere is stable.</p>https://www.wind-energ-sci.net/5/469/2020/wes-5-469-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. B. Duncan Jr.
B. D. Hirth
J. L. Schroeder
spellingShingle J. B. Duncan Jr.
B. D. Hirth
J. L. Schroeder
Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
Wind Energy Science
author_facet J. B. Duncan Jr.
B. D. Hirth
J. L. Schroeder
author_sort J. B. Duncan Jr.
title Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
title_short Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
title_full Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
title_fullStr Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
title_full_unstemmed Exploring the complexities associated with full-scale wind plant wake mitigation control experiments
title_sort exploring the complexities associated with full-scale wind plant wake mitigation control experiments
publisher Copernicus Publications
series Wind Energy Science
issn 2366-7443
2366-7451
publishDate 2020-04-01
description <p>Recent research promotes implementing next-generation wind plant control methods to mitigate turbine-to-turbine wake effects. Numerical simulation and wind tunnel experiments have previously demonstrated the potential benefit of wind plant control for wind plant optimization, but full-scale validation of the wake-mitigating control strategies remains limited. As part of this study, the yaw and blade pitch of a utility-scale wind turbine were strategically modified for a limited time period to examine wind turbine wake response to first-order turbine control changes. Wind turbine wake response was measured using Texas Tech University's Ka-band Doppler radars and dual-Doppler scanning strategies. Results highlight some of the complexities associated with executing and analyzing wind plant control at full scale using brief experimental control periods. Some difficulties include (1) the ability to accurately implement the desired control changes, (2) identifying reliable data sources and methods to allow these control changes to be accurately quantified, and (3) attributing variations in wake structure to turbine control changes rather than a response to the underlying atmospheric conditions (e.g., boundary layer streak orientation, atmospheric stability). To better understand wake sensitivity to the underlying atmospheric conditions, wake evolution within the early-evening transition was also examined using a single-Doppler data collection approach. Analysis of both wake length and meandering during this period of transitioning atmospheric stability indicates the potential benefit and feasibility of wind plant control should be enhanced when the atmosphere is stable.</p>
url https://www.wind-energ-sci.net/5/469/2020/wes-5-469-2020.pdf
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