Articles | Volume 6, issue 3
Wind Energ. Sci., 6, 737–758, 2021
https://doi.org/10.5194/wes-6-737-2021
Wind Energ. Sci., 6, 737–758, 2021
https://doi.org/10.5194/wes-6-737-2021

Research article 28 May 2021

Research article | 28 May 2021

Design and analysis of a wake model for spatially heterogeneous flow

Alayna Farrell et al.

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Cited articles

Abkar, M. and Porté-Agel, F.: Influence of atmospheric stability on wind-turbine wakes: A large-eddy simulation study, Phys. Fluids, 27, 035104, https://doi.org/10.1063/1.4913695, 2015. a, b, c
Annoni, J., Fleming, P., Scholbrock, A., Roadman, J., Dana, S., Adcock, C., Porte-Agel, F., Raach, S., Haizmann, F., and Schlipf, D.: Analysis of control-oriented wake modeling tools using lidar field results, Wind Energ. Sci., 3, 819–831, https://doi.org/10.5194/wes-3-819-2018, 2018. a, b
Barber, C. B., Dobkin, D. P., and Huhdanpaa, H.: The Quickhull Algorithm for Convex Hulls, ACM T. Math. Software, 22, 469–483, https://doi.org/10.1145/235815.235821, 1996. a, b
Bastankhah, M. and Porté-Agel, F.: A new analytical model for wind-turbine wakes, Renew. Energ., 70, 116–123, 2014. 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, c, d
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Short summary
Most current wind turbine wake models struggle to accurately simulate spatially variant wind conditions at a low computational cost. In this paper, we present an adaptation of NREL's FLOw Redirection and Induction in Steady State (FLORIS) wake model, which calculates wake losses in a heterogeneous flow field using local weather measurement inputs. Two validation studies are presented where the adapted model consistently outperforms previous versions of FLORIS that simulated uniform flow only.