Articles | Volume 4, issue 1
Wind Energ. Sci., 4, 71–88, 2019
Wind Energ. Sci., 4, 71–88, 2019
Research article
29 Jan 2019
Research article | 29 Jan 2019

Wake behavior and control: comparison of LES simulations and wind tunnel measurements

Jiangang Wang et al.

Related authors

Scale-adaptive simulation of wind turbines, and its verification with respect to wind tunnel measurements
Jiangang Wang, Chengyu Wang, Filippo Campagnolo, and Carlo L. Bottasso
Wind Energ. Sci. Discuss.,,, 2018
Revised manuscript has not been submitted
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,,, 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,,, 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,,, 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,,, 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,,, 2022
Short summary

Cited articles

Abkar, M. and Dabiri, J. O.: Self-similarity and flow characteristics of vertical-axis wind turbine wakes: an LES study, J. Turbul., 18, 373–389, 2017. a
Bandringa, H.: Immersed boundary methods, Masters thesis, University of Groningen, 2010. a
Barthelmie, R. J., Larsen, G., Frandsen, S., Folkerts, L., Rados, K., Pryor, S., Lange, B., and Schepers, G.: Comparison of wake model simulations with offshore wind turbine wake profiles measured by SODAR, J. Atmos. Ocean. Tech., 23, 888–901, 2006. a
Barthelmie, R. J., Frandsen, S. T., Nielsen, M., Pryor, S., Rethore, P.-E., and Jørgensen, H. E.: Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm, Wind Energy, 10, 517–528, 2007. a
Bartl, J., Pierella, F., and Sætrana, L.: Wake measurements behind an array of two model wind turbines, Enrgy. Proced., 24, 305–312, 2012. a
Short summary
This paper describes an LES approach for the simulation of wind turbines and their wakes. The simulation model is used to develop a complete digital copy of experiments performed with scaled wind turbines in a boundary layer wind tunnel, including the passive generation of a sheared turbulent flow. Numerical results are compared with experimental measurements, with a good overall matching between the two.