Articles | Volume 4, issue 1
Wind Energ. Sci., 4, 127–138, 2019
https://doi.org/10.5194/wes-4-127-2019
Wind Energ. Sci., 4, 127–138, 2019
https://doi.org/10.5194/wes-4-127-2019
Research article
05 Mar 2019
Research article | 05 Mar 2019

The aerodynamics of the curled wake: a simplified model in view of flow control

Luis A. Martínez-Tossas et al.

Related authors

FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models
Michael J. LoCascio, Christopher J. Bay, Majid Bastankhah, Garrett E. Barter, Paul A. Fleming, and Luis A. Martínez-Tossas
Wind Energ. Sci., 7, 1137–1151, https://doi.org/10.5194/wes-7-1137-2022,https://doi.org/10.5194/wes-7-1137-2022, 2022
Short summary
Comparison of Free Vortex Wake and BEM Structural Results Against Large Eddy Simulations Results for Highly Flexible Turbines Under Challenging Inflow Conditions
Kelsey Shaler, Benjamin Anderson, Luis A. Martinez-Tossas, Emmanuel Branlard, and Nick Johnson
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2021-130,https://doi.org/10.5194/wes-2021-130, 2022
Preprint under review for WES
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
The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows
Luis A. Martínez-Tossas, Jennifer King, Eliot Quon, Christopher J. Bay, Rafael Mudafort, Nicholas Hamilton, Michael F. Howland, and Paul A. Fleming
Wind Energ. Sci., 6, 555–570, https://doi.org/10.5194/wes-6-555-2021,https://doi.org/10.5194/wes-6-555-2021, 2021
Short summary
Unlocking the Full Potential of Wake Steering: Implementation and Assessment of a Controls-Oriented Model
Christopher J. Bay, Jennifer King, Paul Fleming, Rafael Mudafort, and Luis A. Martínez-Tossas
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-19,https://doi.org/10.5194/wes-2019-19, 2019
Preprint withdrawn
Short summary

Related subject area

Aerodynamics and hydrodynamics
FLOW Estimation and Rose Superposition (FLOWERS): an integral approach to engineering wake models
Michael J. LoCascio, Christopher J. Bay, Majid Bastankhah, Garrett E. Barter, Paul A. Fleming, and Luis A. Martínez-Tossas
Wind Energ. Sci., 7, 1137–1151, https://doi.org/10.5194/wes-7-1137-2022,https://doi.org/10.5194/wes-7-1137-2022, 2022
Short summary
High-Reynolds-number investigations on the ability of the full-scale e-TellTale sensor to detect flow separation on a wind turbine blade section
Antoine Soulier, Caroline Braud, Dimitri Voisin, and Frédéric Danbon
Wind Energ. Sci., 7, 1043–1052, https://doi.org/10.5194/wes-7-1043-2022,https://doi.org/10.5194/wes-7-1043-2022, 2022
Short summary
Experimental investigation of mini Gurney flaps in combination with vortex generators for improved wind turbine blade performance
Jörg Alber, Marinos Manolesos, Guido Weinzierl-Dlugosch, Johannes Fischer, Alexander Schönmeier, Christian Navid Nayeri, Christian Oliver Paschereit, Joachim Twele, Jens Fortmann, Pier Francesco Melani, and Alessandro Bianchini
Wind Energ. Sci., 7, 943–965, https://doi.org/10.5194/wes-7-943-2022,https://doi.org/10.5194/wes-7-943-2022, 2022
Short summary
Parked and operating load analysis in the aerodynamic design of multi-megawatt-scale floating vertical-axis wind turbines
Mohammad Sadman Sakib and D. Todd Griffith
Wind Energ. Sci., 7, 677–696, https://doi.org/10.5194/wes-7-677-2022,https://doi.org/10.5194/wes-7-677-2022, 2022
Short summary
High-Reynolds-number wind turbine blade equipped with root spoilers – Part 1: Unsteady aerodynamic analysis using URANS simulations
Thomas Potentier, Emmanuel Guilmineau, Arthur Finez, Colin Le Bourdat, and Caroline Braud
Wind Energ. Sci., 7, 647–657, https://doi.org/10.5194/wes-7-647-2022,https://doi.org/10.5194/wes-7-647-2022, 2022
Short summary

Cited articles

Adaramola, M. and Krogstad, P.-A.: Experimental investigation of wake effects on wind turbine performance, Renew. Energ., 36, 2078–2086, 2011. a
Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C., Porte-Agel, F., Raach, S., Haizmann, F., and Schlipf, D.: Analysis of control-oriented wake modeling tools using lidar field results, Wind Energ. Sci., 3, 819-831, https://doi.org/10.5194/wes-3-819-2018, 2018. a, b, c
Bartl, J., Mühle, F., Schottler, J., Sætran, L., Peinke, J., Adaramola, M., and Hölling, M.: Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear, Wind Energ. Sci., 3, 329–343, https://doi.org/10.5194/wes-3-329-2018, 2018. a
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, https://doi.org/10.1017/jfm.2016.595, 2016. a, b, c, d, e, f, g, h, i, j, k, l
Download
Short summary
A new control-oriented model is developed to compute the wake of a wind turbine under yaw. The model uses a simplified version of the Navier–Stokes equation with assumptions. Good agreement is found between the model-proposed and large eddy simulations of a wind turbine in yaw.