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 1
Wind Energ. Sci., 4, 99–114, 2019
https://doi.org/10.5194/wes-4-99-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Wind Energ. Sci., 4, 99–114, 2019
https://doi.org/10.5194/wes-4-99-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research articles 30 Jan 2019

Research articles | 30 Jan 2019

Coupled wind turbine design and layout optimization with nonhomogeneous wind turbines

Andrew P. J. Stanley and Andrew Ning
Related authors  
Massive Simplification of the Wind Farm Layout Optimization Problem
Andrew P. J. Stanley and Andrew Ning
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-37,https://doi.org/10.5194/wes-2019-37, 2019
Manuscript under review for WES
Short summary
Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization
Andrés Santiago Padrón, Jared Thomas, Andrew P. J. Stanley, Juan J. Alonso, and Andrew Ning
Wind Energ. Sci., 4, 211–231, https://doi.org/10.5194/wes-4-211-2019,https://doi.org/10.5194/wes-4-211-2019, 2019
Short summary
Actuator cylinder theory for multiple vertical axis wind turbines
Andrew Ning
Wind Energ. Sci., 1, 327–340, https://doi.org/10.5194/wes-1-327-2016,https://doi.org/10.5194/wes-1-327-2016, 2016
Short summary
Related subject area  
Design methods, reliability and uncertainty modelling
Performance of non-intrusive uncertainty quantification in the aeroservoelastic simulation of wind turbines
Pietro Bortolotti, Helena Canet, Carlo L. Bottasso, and Jaikumar Loganathan
Wind Energ. Sci., 4, 397–406, https://doi.org/10.5194/wes-4-397-2019,https://doi.org/10.5194/wes-4-397-2019, 2019
Short summary
Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization
Andrés Santiago Padrón, Jared Thomas, Andrew P. J. Stanley, Juan J. Alonso, and Andrew Ning
Wind Energ. Sci., 4, 211–231, https://doi.org/10.5194/wes-4-211-2019,https://doi.org/10.5194/wes-4-211-2019, 2019
Short summary
Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine
Mads H. Aa. Madsen, Frederik Zahle, Niels N. Sørensen, and Joaquim R. R. A. Martins
Wind Energ. Sci., 4, 163–192, https://doi.org/10.5194/wes-4-163-2019,https://doi.org/10.5194/wes-4-163-2019, 2019
Short summary
Sensitivity of Uncertainty in Wind Characteristics and Wind Turbine Properties on Wind Turbine Extreme and Fatigue Loads
Amy N. Robertson, Kelsey Shaler, Latha Sethuraman, and Jason Jonkman
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-2,https://doi.org/10.5194/wes-2019-2, 2019
Revised manuscript accepted for WES
Short summary
Comparison between upwind and downwind designs of a 10 MW wind turbine rotor
Pietro Bortolotti, Abhinav Kapila, and Carlo L. Bottasso
Wind Energ. Sci., 4, 115–125, https://doi.org/10.5194/wes-4-115-2019,https://doi.org/10.5194/wes-4-115-2019, 2019
Short summary
Cited articles  
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
Barthelmie, R. J., Hansen, K., Frandsen, S. T., Rathmann, O., Schepers, J., Schlez, W., Phillips, J., Rados, K., Zervos, A., Politis, E. S., and Chaviaropoulos, P. K.: Modelling and measuring flow and wind turbine wakes in large wind farms offshore, Wind Energy, 12, 431–444, 2009. a
Brand, A., Wagenaar, J., Eecen, P., and Holtslag, M.: Database of measurements on the offshore wind farm Egmond aan Zee, EWEA, Copenhagen, 2012. a
Briggs, K.: Navigating the complexities of wake losses, Norik American Windpower, 10, 2013. a
Chen, Y., Li, H., Jin, K., and Song, Q.: Wind farm layout optimization using genetic algorithm with different hub height wind turbines, Energ. Convers. Manage., 70, 56–65, 2013. a, b
Publications Copernicus
Download
Short summary
We show that optimizing wind turbine design and wind turbine layout at the same time is superior to doing so sequentially. This coupled optimization can reduce the cost of energy by 2–5 % compared to sequential optimization. We also demonstrate that wind farms with closely spaced wind turbines can greatly benefit from different turbine designs throughout the farm. Heterogeneous turbine design can reduce the cost of energy by up to 10 % compared to farms with all identical turbines.
We show that optimizing wind turbine design and wind turbine layout at the same time is superior...
Citation