Articles | Volume 3, issue 2
Wind Energ. Sci., 3, 489–502, 2018
https://doi.org/10.5194/wes-3-489-2018
Wind Energ. Sci., 3, 489–502, 2018
https://doi.org/10.5194/wes-3-489-2018

Research article 15 Aug 2018

Research article | 15 Aug 2018

Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines

Jan Bartl et al.

Related authors

Blind test comparison on the wake behind a yawed wind turbine
Franz Mühle, Jannik Schottler, Jan Bartl, Romain Futrzynski, Steve Evans, Luca Bernini, Paolo Schito, Martín Draper, Andrés Guggeri, Elektra Kleusberg, Dan S. Henningson, Michael Hölling, Joachim Peinke, Muyiwa S. Adaramola, and Lars Sætran
Wind Energ. Sci., 3, 883–903, https://doi.org/10.5194/wes-3-883-2018,https://doi.org/10.5194/wes-3-883-2018, 2018
Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear
Jan Bartl, Franz Mühle, Jannik Schottler, Lars Sætran, Joachim Peinke, Muyiwa Adaramola, and Michael Hölling
Wind Energ. Sci., 3, 329–343, https://doi.org/10.5194/wes-3-329-2018,https://doi.org/10.5194/wes-3-329-2018, 2018
Short summary
Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width
Jannik Schottler, Jan Bartl, Franz Mühle, Lars Sætran, Joachim Peinke, and Michael Hölling
Wind Energ. Sci., 3, 257–273, https://doi.org/10.5194/wes-3-257-2018,https://doi.org/10.5194/wes-3-257-2018, 2018
Short summary
Aerodynamic Performance of the NREL S826 Airfoil in Icing Conditions
Julie Krøgenes, Lovisa Brandrud, Richard Hann, Jan Bartl, Tania Bracchi, and Lars Sætran
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2017-39,https://doi.org/10.5194/wes-2017-39, 2017
Preprint withdrawn
Short summary
Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions
Jan Bartl and Lars Sætran
Wind Energ. Sci., 2, 55–76, https://doi.org/10.5194/wes-2-55-2017,https://doi.org/10.5194/wes-2-55-2017, 2017
Short summary

Related subject area

Control and system identification
Model-based design of a wave-feedforward control strategy in floating wind turbines
Alessandro Fontanella, Mees Al, Jan-Willem van Wingerden, and Marco Belloli
Wind Energ. Sci., 6, 885–901, https://doi.org/10.5194/wes-6-885-2021,https://doi.org/10.5194/wes-6-885-2021, 2021
Short summary
Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections
Sebastian Perez-Becker, David Marten, and Christian Oliver Paschereit
Wind Energ. Sci., 6, 791–814, https://doi.org/10.5194/wes-6-791-2021,https://doi.org/10.5194/wes-6-791-2021, 2021
Short summary
Wind inflow observation from load harmonics: initial steps towards a field validation
Marta Bertelè, Carlo L. Bottasso, and Johannes Schreiber
Wind Energ. Sci., 6, 759–775, https://doi.org/10.5194/wes-6-759-2021,https://doi.org/10.5194/wes-6-759-2021, 2021
Short summary
Control-oriented model for secondary effects of wake steering
Jennifer King, Paul Fleming, Ryan King, Luis A. Martínez-Tossas, Christopher J. Bay, Rafael Mudafort, and Eric Simley
Wind Energ. Sci., 6, 701–714, https://doi.org/10.5194/wes-6-701-2021,https://doi.org/10.5194/wes-6-701-2021, 2021
Short summary
Condition monitoring of roller bearings using acoustic emission
Daniel Cornel, Francisco Gutiérrez Guzmán, Georg Jacobs, and Stephan Neumann
Wind Energ. Sci., 6, 367–376, https://doi.org/10.5194/wes-6-367-2021,https://doi.org/10.5194/wes-6-367-2021, 2021
Short summary

Cited articles

Adaramola, M. and Krogstad, P.-Å.: Experimental investigation of wake effects on wind turbine performance, Renew. Energ., 36, 2078–2086, https://doi.org/10.1016/j.renene.2011.01.024, 2011. a
Andersen, S., Sørensen, J., and Mikkelsen, R.: Performance and Equivalent Loads of Wind Turbines in Large Wind Farms, J. Phys. Conf. Ser., 854, 012001, https://doi.org/10.1088/1742-6596/854/1/012001, 2017. a
Annoni, J., Gebraad, P., Scholbrock, A., Fleming, P., and van Wingerden, J.: Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model, Wind Energy, 19, 1135–1150, https://doi.org/10.1002/we.1891, 2016. a
Bartl, J. and Sætran, L.: Experimental testing of axial induction based control strategies for wake control and wind farm optimization, J. Phys. Conf. Ser., 753, 032035, https://doi.org/10.1088/1742-6596/753/3/032035, 2016. a, b
Bartl, J. and Sætran, L.: Blind test comparison of the performance and wake flow between two in-line wind turbines exposed to different turbulent inflow conditions, Wind Energ. Sci., 2, 55–76, https://doi.org/10.5194/wes-2-55-2017, 2017. a, b
Download
Short summary
Our experimental wind tunnel study on a pair of model wind turbines demonstrates a significant potential of turbine yaw angle control for the combined optimization of turbine power and rotor loads. Depending on the turbines' relative positions to the incoming wind, a combined power increase and individual rotor load reduction can be achieved by operating the turbine rotors slightly misaligned with the main wind direction (i.e., at a certain yaw angle).