Articles | Volume 6, issue 5
Wind Energ. Sci., 6, 1143–1167, 2021
https://doi.org/10.5194/wes-6-1143-2021
Wind Energ. Sci., 6, 1143–1167, 2021
https://doi.org/10.5194/wes-6-1143-2021

Research article 09 Sep 2021

Research article | 09 Sep 2021

Objective and algorithm considerations when optimizing the number and placement of turbines in a wind power plant

Andrew P. J. Stanley et al.

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Cited articles

Abdelsalam, A. M. and El-Shorbagy, M.: Optimization of wind turbines siting in a wind farm using genetic algorithm based local search, Renew. Energ., 123, 748–755, 2018.  a
Abkar, M. and Porté-Agel, F.: Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids, 27, https://doi.org/10.1063/1.4913695, 2015. 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, 7–11 January 2019, San Diego, CA, AIAA 2019-0540, https://doi.org/10.2514/6.2019-0540, 2019. a, b, c
Balasubramanian, K., Thanikanti, S. B., Subramaniam, U., Sudhakar, N., and Sichilalu, S.: A novel review on Optimization Techniques used in Wind Farm Modelling, Renewable Energy Focus, 35, 84–96, 2020. a, b
Bastankhah, M. and Porté-Agel, F.: Experimental and theoretical study of wind turbine wakes in yawed conditions, J. Fluid Mech., 806, 506–541, 2016. a, b
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Short summary
Wind farm layout optimization is an essential part of wind farm design. In this paper, we present different methods to determine the number of turbines in a wind farm, as well as their placement. Also in this paper we explore the effect that the objective function has on the wind farm design and found that wind farm layout is highly sensitive to the objective. The optimal number of turbines can vary greatly, from 15 to 54 for the cases in this paper, depending on the metric that is optimized.