Full-Scale Field Test of Wake Steering

Fleming, Paul; Annoni, Jennifer; Scholbrock, Andrew; Quon, Eliot; Dana, Scott; Schreck, Scott; Raach, Steffen; Haizmann, Florian; Schlipf, David

doi:10.1088/1742-6596/854/1/012013

Full-Scale Field Test of Wake Steering

Journal Article · Tue Jun 13 00:00:00 EDT 2017 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/854/1/012013· OSTI ID:1371522

Fleming, Paul ^[1]; Annoni, Jennifer ^[1]; Scholbrock, Andrew ^[1]; Quon, Eliot ^[1]; Dana, Scott ^[1]; Schreck, Scott ^[1]; Raach, Steffen ^[2]; Haizmann, Florian ^[2]; Schlipf, David ^[2]

National Renewable Energy Lab. (NREL), Golden, CO (United States)
Univ. of Stuttgart, Stuttgart (Germany)

Wind farm control, in which turbine controllers are coordinated to improve farmwide performance, is an active field of research. One form of wind farm control is wake steering, in which a turbine is yawed to the inflow to redirect its wake away from downstream turbines. Wake steering has been studied in depth in simulations as well as in wind tunnels and scaled test facilities. This work performs a field test of wake steering on a full-scale turbine. In the campaign, the yaw controller of the turbine has been set to track different yaw misalignment set points while a nacelle-mounted lidar scans the wake at several ranges downwind. The lidar measurements are combined with turbine data, as well as measurements of the inflow made by a highly instrumented meteorological mast. In conclusion, these measurements are then compared to the predictions of a wind farm control-oriented model of wakes.

Research Organization:: National Renewable Energy Lab. (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1371522

Report Number(s):: NREL/JA--5000-68396

Journal Information:: Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 854; ISSN 1742-6588

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

References (10)

Application of a LES technique to characterize the wake deflection of a wind turbine in yaw Jiménez, Ángel; Crespo, Antonio; Migoya, Emilio Wind Energy, Vol. 13, Issue 6 https://doi.org/10.1002/we.380	journal	December 2009
Evaluating techniques for redirecting turbine wakes using SOWFA Fleming, Paul A.; Gebraad, Pieter M. O.; Lee, Sang Renewable Energy, Vol. 70 https://doi.org/10.1016/j.renene.2014.02.015	journal	October 2014
Experimental and theoretical study of wind turbine wakes in yawed conditions Bastankhah, Majid; Porté-Agel, Fernando Journal of Fluid Mechanics, Vol. 806 https://doi.org/10.1017/jfm.2016.595	journal	October 2016
A control-oriented dynamic wind farm flow model: “WFSim” Boersma, S.; Gebraad, P. M. O.; Vali, M. Journal of Physics: Conference Series, Vol. 753 https://doi.org/10.1088/1742-6596/753/3/032005	journal	September 2016
Lidar-based wake tracking for closed-loop wind farm control Raach, Steffen; Schlipf, David; Cheng, Po Wen Journal of Physics: Conference Series, Vol. 753 https://doi.org/10.1088/1742-6596/753/5/052009	journal	September 2016
Wind tunnel testing of wake control strategies Campagnolo, Filippo; Petrovic, Vlaho; Bottasso, Carlo L. 2016 American Control Conference (ACC) https://doi.org/10.1109/ACC.2016.7524965	conference	July 2016
Wind tunnel testing of wake control strategies Campagnolo, Filippo; Petrovic, Vlaho; Bottasso, Carlo L. 2016 American Control Conference (ACC) https://doi.org/10.1109/acc.2016.7524965	conference	July 2016
Lidar-based wake tracking for closed-loop wind farm control Raach, Steffen; Schlipf, David; Cheng, Po Wen Universität Stuttgart https://doi.org/10.18419/opus-9839	collection	January 2017
Field test of wake steering at an offshore wind farm Fleming, Paul; Annoni, Jennifer; Shah, Jigar J. Wind Energy Science, Vol. 2, Issue 1 https://doi.org/10.5194/wes-2-229-2017	journal	January 2017
Lidar-based wake tracking for closed-loop wind farm control Raach, Steffen; Schlipf, David; Cheng, Po Wen Wind Energy Science, Vol. 2, Issue 1 https://doi.org/10.5194/wes-2-257-2017	journal	January 2017

Cited By (13)

Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes Bromm, Marc; Rott, Andreas; Beck, Hauke Wind Energy, Vol. 21, Issue 11 https://doi.org/10.1002/we.2210	journal	June 2018
Investigation of the near-wake behaviour of a utility-scale wind turbine Abraham, Aliza; Dasari, Teja; Hong, Jiarong Journal of Physics: Conference Series, Vol. 1452 https://doi.org/10.1088/1742-6596/1452/1/012067	journal	January 2020
Improving the FLORIS wind plant model for compatibility with gradient-based optimization Thomas, Jared J.; Gebraad, Pieter MO; Ning, Andrew Wind Engineering, Vol. 41, Issue 5 https://doi.org/10.1177/0309524x17722000	journal	May 2017
Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms Ahmad, Tanvir; Basit, Abdul; Ahsan, Muneeb Energies, Vol. 12, Issue 7 https://doi.org/10.3390/en12071266	journal	April 2019
Investigation of the near-wake behaviour of a utility-scale wind turbine Abraham, Aliza; Dasari, Teja; Hong, Jiarong arXiv https://doi.org/10.48550/arxiv.1908.02455	text	January 2019
Wind sensing with drone-mounted wind lidars: proof of concept Vasiljević, Nikola; Harris, Michael; Tegtmeier Pedersen, Anders Atmospheric Measurement Techniques, Vol. 13, Issue 2 https://doi.org/10.5194/amt-13-521-2020	journal	January 2020
Field test of wake steering at an offshore wind farm Fleming, Paul; Annoni, Jennifer; Shah, Jigar J. Wind Energy Science, Vol. 2, Issue 1 https://doi.org/10.5194/wes-2-229-2017	journal	January 2017
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control Doekemeijer, Bart; Boersma, Sjoerd; Pao, Lucy Wind Energy Science Discussions https://doi.org/10.5194/wes-2018-33	posted_content	April 2018
Initial Results From a Field Campaign of Wake Steering Applied at a Commercial Wind Farm: Part 1 Fleming, Paul; King, Jennifer; Dykes, Katherine Wind Energy Science Discussions https://doi.org/10.5194/wes-2019-5	posted_content	February 2019
A simulation study demonstrating the importance of large-scale trailing vortices in wake steering Fleming, Paul; Annoni, Jennifer; Churchfield, Matthew Wind Energy Science, Vol. 3, Issue 1 https://doi.org/10.5194/wes-3-243-2018	journal	January 2018
Analysis of control-oriented wake modeling tools using lidar field results Annoni, Jennifer; Fleming, Paul; Scholbrock, Andrew Wind Energy Science, Vol. 3, Issue 2 https://doi.org/10.5194/wes-3-819-2018	journal	January 2018
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 Fleming, Paul; King, Jennifer; Dykes, Katherine Wind Energy Science, Vol. 4, Issue 2 https://doi.org/10.5194/wes-4-273-2019	journal	January 2019
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control Doekemeijer, Bart M.; Boersma, Sjoerd; Pao, Lucy Y. Zenodo https://doi.org/10.5281/zenodo.2556504	text	January 2018

Similar Records

Analysis of Control-Oriented Wake Modeling Tools Using Lidar Field Results

Journal Article · Wed Feb 07 23:00:00 EST 2018 · Wind Energy Science Discussions · OSTI ID:1433602

Analysis of control-oriented wake modeling tools using lidar field results

Journal Article · Wed Oct 31 20:00:00 EDT 2018 · Wind Energy Science (Online) · OSTI ID:1481841

Related Subjects

17 WIND ENERGY
CFD simulations
control
wake steering
wind energy
wind farm
wind plant

Full-Scale Field Test of Wake Steering

Citation Formats

References (10)

Cited By (13)

Similar Records

Related Subjects