Journal cover Journal topic
Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
Journal topic
WES | Articles | Volume 4, issue 2
Wind Energ. Sci., 4, 287–302, 2019
https://doi.org/10.5194/wes-4-287-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 4, 287–302, 2019
https://doi.org/10.5194/wes-4-287-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 22 May 2019

Research article | 22 May 2019

Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm

Thomas Duc et al.
Related authors  
Model-free Estimation of Available Power using Deep Learning
Tuhfe Göçmen, Jaime Liew, Albert Meseguer Urban, and Alan Wai Hou Lio
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-80,https://doi.org/10.5194/wes-2019-80, 2019
Manuscript under review for WES
Short summary
Optimizing Wind Farm Control through Wake Steering using Surrogate Models based on High Fidelity Simulations
Paul Hulsman, Søren Juhl Andersen, and Tuhfe Göçmen
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-46,https://doi.org/10.5194/wes-2019-46, 2019
Revised manuscript accepted for WES
Short summary
Preface: Interdisciplinary contributions from the Division on Energy, Resources and the Environment at the EGU General Assembly 2019
Sonja Martens, Christopher Juhlin, Viktor J. Bruckman, Gregor Giebel, Thomas Nagel, Antonio P. Rinaldi, and Michael Kühn
Adv. Geosci., 49, 31–35, https://doi.org/10.5194/adgeo-49-31-2019,https://doi.org/10.5194/adgeo-49-31-2019, 2019
Related subject area  
Wind and turbulence
Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms
Niranjan S. Ghaisas, Aditya S. Ghate, and Sanjiva K. Lele
Wind Energ. Sci., 5, 51–72, https://doi.org/10.5194/wes-5-51-2020,https://doi.org/10.5194/wes-5-51-2020, 2020
Short summary
Cluster wakes impact on a far-distant offshore wind farm's power
Jörge Schneemann, Andreas Rott, Martin Dörenkämper, Gerald Steinfeld, and Martin Kühn
Wind Energ. Sci., 5, 29–49, https://doi.org/10.5194/wes-5-29-2020,https://doi.org/10.5194/wes-5-29-2020, 2020
Short summary
A double-multiple streamtube model for vertical axis wind turbines of arbitrary rotor loading
Anis A. Ayati, Konstantinos Steiros, Mark A. Miller, Subrahmanyam Duvvuri, and Marcus Hultmark
Wind Energ. Sci., 4, 653–662, https://doi.org/10.5194/wes-4-653-2019,https://doi.org/10.5194/wes-4-653-2019, 2019
Short summary
On the self-similarity of wind turbine wakes in a complex terrain using large eddy simulation
Arslan Salim Dar, Jacob Berg, Niels Troldborg, and Edward G. Patton
Wind Energ. Sci., 4, 633–644, https://doi.org/10.5194/wes-4-633-2019,https://doi.org/10.5194/wes-4-633-2019, 2019
Short summary
Adjoint-based calibration of inlet boundary condition for atmospheric computational fluid dynamics solvers
Siamak Akbarzadeh, Hassan Kassem, Renko Buhr, Gerald Steinfeld, and Bernhard Stoevesandt
Wind Energ. Sci., 4, 619–632, https://doi.org/10.5194/wes-4-619-2019,https://doi.org/10.5194/wes-4-619-2019, 2019
Short summary
Cited articles  
Ahmad, T., Coupiac, O., Petit, A., Guignard, S., Girard, N., Kazemtabrizi, B., and Matthews, P.: Field Implementation and Trial of Coordinated Control of Wind Farms, IEEE Transactions on Sustainable Energy, 1169–1176, https://doi.org/10.1109/TSTE.2017.2774508, 2017. a
Annoni, J., Gebraad, P. M., Scholbrock, A. K., Fleming, P. A., and Wingerden, J.-W. v.: Analysis of axial-induction-based wind plant control using an engineering and a high-order wind plant model, Wind Energy, 19, 1135–1150, 2016. a, b
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
Barthelmie, R. J., Hansen, K., Frandsen, S. T., Rathmann, O., Schepers, J., Schlez, W., Phillips, J., Rados, K., Zervos, A., Politis, E., and Chaviaropoulos, P. K.: Modelling and measuring flow and wind turbine wakes in large wind farms offshore, Wind Energy, 12, 431–444, 2009. a
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, https://doi.org/10.1016/j.renene.2014.01.002, 2014. a, b, c
Publications Copernicus
Download
Short summary
Wind turbine wake recovery is very sensitive to ambient atmospheric conditions. This paper presents a way of including a local turbulence intensity estimation from SCADA into the Jensen wake model to improve its accuracy. This new model procedure is used to optimize power production of an operating wind farm and shows that some gains can be expected even if uncertainties remain high. These optimized settings are to be implemented in a field test campaign in the scope of the SMARTEOLE project.
Wind turbine wake recovery is very sensitive to ambient atmospheric conditions. This paper...
Citation