Articles | Volume 9, issue 2
https://doi.org/10.5194/wes-9-321-2024
https://doi.org/10.5194/wes-9-321-2024
Research article
 | 
07 Feb 2024
Research article |  | 07 Feb 2024

Speeding up large-wind-farm layout optimization using gradients, parallelization, and a heuristic algorithm for the initial layout

Rafael Valotta Rodrigues, Mads Mølgaard Pedersen, Jens Peter Schøler, Julian Quick, and Pierre-Elouan Réthoré

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Cited articles

Abdulrahman, M. and Wood, D.: Investigating the Power-COE trade-off for wind farm layout optimization considering commercial turbine selection and hub height variation, Renew. Energ., 102, 267–278, 2017. a
Allen, J., King, R., and Barter, G.: Wind farm simulation and layout optimization in complex terrain, J. Phys., 1452, 012066, https://doi.org/10.1088/1742-6596/1452/1/012066, 2020. a
Baker, N. F., Stanley, A. P., 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, p. 0540, https://doi.org/10.2514/6.2019-0540, 2019. a, b, c, d
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, 2014. a
Bortolotti, P., Dykes, K., Merz, K., and Zahle, F.: IEA Wind Task 37 on systems engineering in wind energy, WP2-Reference Wind Turbines: IEA Wind Task, 37, https://doi.org/10.2172/1529216, 2019. a
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Short summary
The use of wind energy has been growing over the last few decades, and further increase is predicted. As the wind energy industry is starting to consider larger wind farms, the existing numerical methods for analysis of small and medium wind farms need to be improved. In this article, we have explored different strategies to tackle the problem in a feasible and timely way. The final product is a set of recommendations when carrying out trade-off analysis on large wind farms.
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