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 4
Wind Energ. Sci., 4, 549–561, 2019
https://doi.org/10.5194/wes-4-549-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 4, 549–561, 2019
https://doi.org/10.5194/wes-4-549-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 11 Oct 2019

Research article | 11 Oct 2019

Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control

Hector Mendez Reyes et al.

Related authors

Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments
Joeri Alexis Frederik, Robin Weber, Stefano Cacciola, Filippo Campagnolo, Alessandro Croce, Carlo Bottasso, and Jan-Willem van Wingerden
Wind Energ. Sci., 5, 245–257, https://doi.org/10.5194/wes-5-245-2020,https://doi.org/10.5194/wes-5-245-2020, 2020
Short summary
Feedforward-Feedback wake redirection for wind farm control
Steffen Raach, Bart Doekemeijer, Sjoerd Boersma, Jan-Willem van Wingerden, and Po Wen Cheng
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-54,https://doi.org/10.5194/wes-2019-54, 2019
Preprint under review for WES
Short summary
Robust active wake control in consideration of wind direction variability and uncertainty
Andreas Rott, Bart Doekemeijer, Janna Kristina Seifert, Jan-Willem van Wingerden, and Martin Kühn
Wind Energ. Sci., 3, 869–882, https://doi.org/10.5194/wes-3-869-2018,https://doi.org/10.5194/wes-3-869-2018, 2018
Short summary
Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control
Bart M. Doekemeijer, Sjoerd Boersma, Lucy Y. Pao, Torben Knudsen, and Jan-Willem van Wingerden
Wind Energ. Sci., 3, 749–765, https://doi.org/10.5194/wes-3-749-2018,https://doi.org/10.5194/wes-3-749-2018, 2018
Short summary
Control design, implementation, and evaluation for an in-field 500 kW wind turbine with a fixed-displacement hydraulic drivetrain
Sebastiaan Paul Mulders, Niels Frederik Boudewijn Diepeveen, and Jan-Willem van Wingerden
Wind Energ. Sci., 3, 615–638, https://doi.org/10.5194/wes-3-615-2018,https://doi.org/10.5194/wes-3-615-2018, 2018
Short summary

Related subject area

Control and system identification
Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments
Joeri Alexis Frederik, Robin Weber, Stefano Cacciola, Filippo Campagnolo, Alessandro Croce, Carlo Bottasso, and Jan-Willem van Wingerden
Wind Energ. Sci., 5, 245–257, https://doi.org/10.5194/wes-5-245-2020,https://doi.org/10.5194/wes-5-245-2020, 2020
Short summary
Uncertainty identification of blade-mounted lidar-based inflow wind speed measurements for robust feedback–feedforward control synthesis
Róbert Ungurán, Vlaho Petrović, Lucy Y. Pao, and Martin Kühn
Wind Energ. Sci., 4, 677–692, https://doi.org/10.5194/wes-4-677-2019,https://doi.org/10.5194/wes-4-677-2019, 2019
Short summary
Wind direction estimation using SCADA data with consensus-based optimization
Jennifer Annoni, Christopher Bay, Kathryn Johnson, Emiliano Dall'Anese, Eliot Quon, Travis Kemper, and Paul Fleming
Wind Energ. Sci., 4, 355–368, https://doi.org/10.5194/wes-4-355-2019,https://doi.org/10.5194/wes-4-355-2019, 2019
Short summary
Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1
Paul Fleming, Jennifer King, Katherine Dykes, Eric Simley, Jason Roadman, Andrew Scholbrock, Patrick Murphy, Julie K. Lundquist, Patrick Moriarty, Katherine Fleming, Jeroen van Dam, Christopher Bay, Rafael Mudafort, Hector Lopez, Jason Skopek, Michael Scott, Brady Ryan, Charles Guernsey, and Dan Brake
Wind Energ. Sci., 4, 273–285, https://doi.org/10.5194/wes-4-273-2019,https://doi.org/10.5194/wes-4-273-2019, 2019
Short summary
An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer
Mehdi Vali, Vlaho Petrović, Gerald Steinfeld, Lucy Y. Pao, and Martin Kühn
Wind Energ. Sci., 4, 139–161, https://doi.org/10.5194/wes-4-139-2019,https://doi.org/10.5194/wes-4-139-2019, 2019
Short summary

Cited articles

Annoni, J., Gebraad, P., Scholbrock, A., Fleming, P., and van Wingerden, J.-W.: 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
Bak, C., Zahle, F., Bitsche, R., Kim, T., de, A., Henriksen, L. C., Natarajan, A., and Hansen, M.: Description of the DTU 10 MW Reference Wind Turbine, Tech. Rep. DTU Wind Energy Report-I-0092, DTU Wind Energy, 2013. a
Boorsma, K.: Power and loads for wind turbines in yawed conditions, Tech. Rep. ECN-E–12-047, Energy reserach Center of the Netherlands, 2012. a, b, c, d
Boorsma, K.: Active Wake Control by pitch adjustment. Analysis of field measurements, Tech. Rep. ECN-E–15-042, Energy research Centre of the Netherlands, 2015. a
Boorsma, K. and Schepers, J.: New MEXICO Experiment, Preliminary overview with initial validation, Tech. Rep. ECN-E–14-048, ECN, 2014. a, b
Publications Copernicus
Download
Short summary
Within wind farms, the wind turbines interact with each other through their wakes. Turbines operating in these wakes have lower power production and increased wear and tear. Wake redirection is control strategy to steer the wakes aside from downstream turbines, increasing the power yield of the farm. Models for predicting the power gain and impacts on wear exist, but they are still immature and require validation. The validation of such a model is the purpose of this paper.
Within wind farms, the wind turbines interact with each other through their wakes. Turbines...
Citation