Optimal yaw strategy for optimized power and load in various wake situations

Paper

Albert M. Urbán*, Torben J. Larsen, Gunner Chr. Larsen, Dominique P. Held, Ebba Dellwik, David Robert Verelst

*Corresponding author for this work

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

The interaction between nearby wind turbines in a wind farm modifies the power and loads compared to their stand-alone values. The increased turbulence intensity and the modified turbulence structure at the downstream turbines creates higher fatigue loading, which can be mitigated by wind farm and/or wind turbine control. To alleviate loads and maximize power possible strategies such as wake steering, where the turbine is yawed to redirect the wake such that it does not impinge the downstream turbine, have been studied. The work presented here focuses on situations where the wake is nevertheless affecting the downstream turbine, and more specifically how high loads can be avoided by yawing the wake-affected turbine. The analysis is conducted on a 2.3 MW machine, and the flow field is simulated using the Dynamic Wake Meandering model. The study investigates the impact on power and loads for different longitudinal interspacing and turbulence intensities. Optimal yaw strategies are defined for above rated regions where no power loss occurs. The potential load alleviation for different load sensors are studied, but the presentation is focussed on the blade root flapwise fatigue loading. For full wake at 3D interspacing and turbulence intensity of 5 %, around 35 % of load reduction on the 1 Hz Damage Equivalent Loads can be achieved at high wind speeds. Smaller reductions are achieved for higher atmospheric turbulence; the analogue case with 15 % turbulence intensity shows 17 % potential alleviation. The alleviation on the wind turbine lifetime is also calculated and compared for different turbulence intensities and mean wind speeds. Small reductions are achieved for sites with low mean wind speed and high turbulence intensity, but high reductions, of around 19 %, are accomplished in low turbulence intensity with high mean wind speed.
Original languageEnglish
Article number012019
Book seriesJournal of Physics: Conference Series
Volume1102
Issue number1
Number of pages13
ISSN1742-6596
DOIs
Publication statusPublished - 2018
EventWindEurope 2018 Conference at the Global Wind Summit - Hamburg, Germany
Duration: 25 Sep 201828 Sep 2018

Conference

ConferenceWindEurope 2018 Conference at the Global Wind Summit
CountryGermany
CityHamburg
Period25/09/201828/09/2018

Cite this

@inproceedings{3f23414980a24e22a029ebc916cd5b9c,
title = "Optimal yaw strategy for optimized power and load in various wake situations: Paper",
abstract = "The interaction between nearby wind turbines in a wind farm modifies the power and loads compared to their stand-alone values. The increased turbulence intensity and the modified turbulence structure at the downstream turbines creates higher fatigue loading, which can be mitigated by wind farm and/or wind turbine control. To alleviate loads and maximize power possible strategies such as wake steering, where the turbine is yawed to redirect the wake such that it does not impinge the downstream turbine, have been studied. The work presented here focuses on situations where the wake is nevertheless affecting the downstream turbine, and more specifically how high loads can be avoided by yawing the wake-affected turbine. The analysis is conducted on a 2.3 MW machine, and the flow field is simulated using the Dynamic Wake Meandering model. The study investigates the impact on power and loads for different longitudinal interspacing and turbulence intensities. Optimal yaw strategies are defined for above rated regions where no power loss occurs. The potential load alleviation for different load sensors are studied, but the presentation is focussed on the blade root flapwise fatigue loading. For full wake at 3D interspacing and turbulence intensity of 5 {\%}, around 35 {\%} of load reduction on the 1 Hz Damage Equivalent Loads can be achieved at high wind speeds. Smaller reductions are achieved for higher atmospheric turbulence; the analogue case with 15 {\%} turbulence intensity shows 17 {\%} potential alleviation. The alleviation on the wind turbine lifetime is also calculated and compared for different turbulence intensities and mean wind speeds. Small reductions are achieved for sites with low mean wind speed and high turbulence intensity, but high reductions, of around 19 {\%}, are accomplished in low turbulence intensity with high mean wind speed.",
author = "Urbán, {Albert M.} and Larsen, {Torben J.} and Larsen, {Gunner Chr.} and Held, {Dominique P.} and Ebba Dellwik and Verelst, {David Robert}",
year = "2018",
doi = "10.1088/1742-6596/1102/1/012019",
language = "English",
volume = "1102",
journal = "Journal of Physics: Conference Series (Online)",
issn = "1742-6596",
publisher = "IOP Publishing",
number = "1",

}

Optimal yaw strategy for optimized power and load in various wake situations : Paper. / Urbán, Albert M.; Larsen, Torben J.; Larsen, Gunner Chr.; Held, Dominique P.; Dellwik, Ebba; Verelst, David Robert.

In: Journal of Physics: Conference Series, Vol. 1102, No. 1, 012019, 2018.

Research output: Contribution to journalConference articleResearchpeer-review

TY - GEN

T1 - Optimal yaw strategy for optimized power and load in various wake situations

T2 - Paper

AU - Urbán, Albert M.

AU - Larsen, Torben J.

AU - Larsen, Gunner Chr.

AU - Held, Dominique P.

AU - Dellwik, Ebba

AU - Verelst, David Robert

PY - 2018

Y1 - 2018

N2 - The interaction between nearby wind turbines in a wind farm modifies the power and loads compared to their stand-alone values. The increased turbulence intensity and the modified turbulence structure at the downstream turbines creates higher fatigue loading, which can be mitigated by wind farm and/or wind turbine control. To alleviate loads and maximize power possible strategies such as wake steering, where the turbine is yawed to redirect the wake such that it does not impinge the downstream turbine, have been studied. The work presented here focuses on situations where the wake is nevertheless affecting the downstream turbine, and more specifically how high loads can be avoided by yawing the wake-affected turbine. The analysis is conducted on a 2.3 MW machine, and the flow field is simulated using the Dynamic Wake Meandering model. The study investigates the impact on power and loads for different longitudinal interspacing and turbulence intensities. Optimal yaw strategies are defined for above rated regions where no power loss occurs. The potential load alleviation for different load sensors are studied, but the presentation is focussed on the blade root flapwise fatigue loading. For full wake at 3D interspacing and turbulence intensity of 5 %, around 35 % of load reduction on the 1 Hz Damage Equivalent Loads can be achieved at high wind speeds. Smaller reductions are achieved for higher atmospheric turbulence; the analogue case with 15 % turbulence intensity shows 17 % potential alleviation. The alleviation on the wind turbine lifetime is also calculated and compared for different turbulence intensities and mean wind speeds. Small reductions are achieved for sites with low mean wind speed and high turbulence intensity, but high reductions, of around 19 %, are accomplished in low turbulence intensity with high mean wind speed.

AB - The interaction between nearby wind turbines in a wind farm modifies the power and loads compared to their stand-alone values. The increased turbulence intensity and the modified turbulence structure at the downstream turbines creates higher fatigue loading, which can be mitigated by wind farm and/or wind turbine control. To alleviate loads and maximize power possible strategies such as wake steering, where the turbine is yawed to redirect the wake such that it does not impinge the downstream turbine, have been studied. The work presented here focuses on situations where the wake is nevertheless affecting the downstream turbine, and more specifically how high loads can be avoided by yawing the wake-affected turbine. The analysis is conducted on a 2.3 MW machine, and the flow field is simulated using the Dynamic Wake Meandering model. The study investigates the impact on power and loads for different longitudinal interspacing and turbulence intensities. Optimal yaw strategies are defined for above rated regions where no power loss occurs. The potential load alleviation for different load sensors are studied, but the presentation is focussed on the blade root flapwise fatigue loading. For full wake at 3D interspacing and turbulence intensity of 5 %, around 35 % of load reduction on the 1 Hz Damage Equivalent Loads can be achieved at high wind speeds. Smaller reductions are achieved for higher atmospheric turbulence; the analogue case with 15 % turbulence intensity shows 17 % potential alleviation. The alleviation on the wind turbine lifetime is also calculated and compared for different turbulence intensities and mean wind speeds. Small reductions are achieved for sites with low mean wind speed and high turbulence intensity, but high reductions, of around 19 %, are accomplished in low turbulence intensity with high mean wind speed.

U2 - 10.1088/1742-6596/1102/1/012019

DO - 10.1088/1742-6596/1102/1/012019

M3 - Conference article

VL - 1102

JO - Journal of Physics: Conference Series (Online)

JF - Journal of Physics: Conference Series (Online)

SN - 1742-6596

IS - 1

M1 - 012019

ER -