Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 815–839, 2021
https://doi.org/10.5194/wes-6-815-2021
Wind Energ. Sci., 6, 815–839, 2021
https://doi.org/10.5194/wes-6-815-2021

Research article 04 Jun 2021

Research article | 04 Jun 2021

Wind farm layout optimization using pseudo-gradients

Erik Quaeghebeur et al.

Related authors

How to improve the state of the art in metocean measurement datasets
Erik Quaeghebeur and Michiel B. Zaaijer
Wind Energ. Sci., 5, 285–308, https://doi.org/10.5194/wes-5-285-2020,https://doi.org/10.5194/wes-5-285-2020, 2020
Short summary
WESgraph: a graph database for the wind farm domain
Erik Quaeghebeur, Sebastian Sanchez Perez-Moreno, and Michiel B. Zaaijer
Wind Energ. Sci., 5, 259–284, https://doi.org/10.5194/wes-5-259-2020,https://doi.org/10.5194/wes-5-259-2020, 2020
Short summary

Related subject area

Design methods, reliability and uncertainty modelling
Aeroelastic loads on a 10 MW turbine exposed to extreme events selected from a year-long large-eddy simulation over the North Sea
Gerard Schepers, Pim van Dorp, Remco Verzijlbergh, Peter Baas, and Harmen Jonker
Wind Energ. Sci., 6, 983–996, https://doi.org/10.5194/wes-6-983-2021,https://doi.org/10.5194/wes-6-983-2021, 2021
Short summary
Optimal scheduling of the next preventive maintenance activity for a wind farm
Quanjiang Yu, Michael Patriksson, and Serik Sagitov
Wind Energ. Sci., 6, 949–959, https://doi.org/10.5194/wes-6-949-2021,https://doi.org/10.5194/wes-6-949-2021, 2021
Short summary
A method for preliminary rotor design – Part 1: Radially Independent Actuator Disc model
Kenneth Loenbaek, Christian Bak, Jens I. Madsen, and Michael McWilliam
Wind Energ. Sci., 6, 903–915, https://doi.org/10.5194/wes-6-903-2021,https://doi.org/10.5194/wes-6-903-2021, 2021
Short summary
A method for preliminary rotor design – Part 2: Wind turbine Optimization with Radial Independence
Kenneth Loenbaek, Christian Bak, and Michael McWilliam
Wind Energ. Sci., 6, 917–933, https://doi.org/10.5194/wes-6-917-2021,https://doi.org/10.5194/wes-6-917-2021, 2021
Short summary
On the scaling of wind turbine rotors
Helena Canet, Pietro Bortolotti, and Carlo L. Bottasso
Wind Energ. Sci., 6, 601–626, https://doi.org/10.5194/wes-6-601-2021,https://doi.org/10.5194/wes-6-601-2021, 2021
Short summary

Cited articles

Archer, C. L., Vasel-Be-Hagh, A., Yan, C., Wu, S., Pan, Y., Brodie, J. F., and Maguire, A. E.: Review and evaluation of wake loss models for wind energy applications, Appl. Energ., 226, 1187–1207, https://doi.org/10.1016/j.apenergy.2018.05.085, 2018. a
Baker, N. F., Stanley, A. P. J., Thomas, J. J., Ning, A., and Dykes, K.: Best practices for wake model and optimization algorithm selection in wind farm layout optimization, in: AIAA Scitech 2019 Forum, https://doi.org/10.2514/6.2019-0540, Correction: Baker et al. (2019b), 2019a. a, b, c, d
Baker, N. F., Stanley, A. P. J., Thomas, J. J., Ning, A., and Dykes, K.: Correction: Best Practices for Wake Model and Optimization Algorithm Selection in Wind Farm Layout Optimization, in: AIAA Scitech 2019 Forum, https://doi.org/10.2514/6.2019-0540.c1, 2019b. 
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
Changshui, Z., Guangdong, H., and Jun, W.: A fast algorithm based on the submodular property for optimization of wind turbine positioning, Renew. Energ., 36, 2951–2958, https://doi.org/10.1016/j.renene.2011.03.045, 2011. a
Download
Short summary
We present a technique to support the optimal layout (placement) of wind turbines in a wind farm. It efficiently determines good directions and distances for moving turbines. An improved layout reduces production losses and so makes the farm project economically more attractive. Compared to most existing techniques, our approach requires less time. This allows wind farm designers to explore more alternatives and provides the flexibility to adapt the layout to site-specific requirements.