2020
DOI: 10.5194/wes-2020-86
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The curled wake model: A three-dimensional and extremely fast steady-state wake solver for wind plant flows

Abstract: Abstract. This work focuses on minimizing the computational cost of steady-state wind power plant flow simulations that take into account wake steering physics. We present a simple wake solver with a computational cost on the order of seconds for large wind plants. The solver uses a simplified form of the Reynolds-averaged Navier-Stokes equations to obtain a parabolic equation for the wake deficit of a wind plant. We compare results from the model to supervisory control and data acquisition (SCADA) fro… Show more

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Cited by 11 publications
(18 citation statements)
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“…With the two-dimensional secondary steering model presented in this study, the modified linear and convective wake superposition methods underpredict the LES power given wake steering operation for all control update steps, suggesting the influence of three-dimensional curled wake effects [31] and wind speed and direction shear effects [62]. Future work should consider the novel hybrid RANS/analytic wake model developed by Martínez-Tossas et al, (2020) [43], which reduces the predictive bias compared analytic wake models by capturing the three-dimensional curled wake deformation [31]. Future work should also incorporate yaw actuation duty into the closedloop yaw misalignment set-point optimization framework [21].…”
Section: Discussionmentioning
confidence: 75%
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“…With the two-dimensional secondary steering model presented in this study, the modified linear and convective wake superposition methods underpredict the LES power given wake steering operation for all control update steps, suggesting the influence of three-dimensional curled wake effects [31] and wind speed and direction shear effects [62]. Future work should consider the novel hybrid RANS/analytic wake model developed by Martínez-Tossas et al, (2020) [43], which reduces the predictive bias compared analytic wake models by capturing the three-dimensional curled wake deformation [31]. Future work should also incorporate yaw actuation duty into the closedloop yaw misalignment set-point optimization framework [21].…”
Section: Discussionmentioning
confidence: 75%
“…As a result, the wake generated by a yaw aligned turbine operating in the wake of a yaw misaligned turbine will be deflected in the lateral direction as a function of x; this effect is termed secondary steering [33]. The development of a three-dimensional secondary steering model is on-going [42,43]; in this study, we develop a simple, analytical, two-dimensional secondary steering model to capture the effects of the non-vanishing δv(x).…”
Section: Two-dimensional Secondary Steering Modelmentioning
confidence: 99%
“…Further improvements in active wake control are necessary to increase the efficacy of wake steering, such as closed-loop control [22,28,33,38] or machine learning based methods [39]. Additionally, further improvements in flow control models are necessary to capture three dimensional effects such as wake curling [40,41,42], veer [19,43], and stability [22,44].…”
Section: Discussionmentioning
confidence: 99%
“…An instantaneous snapshot Flow field heterogeneity can be physically modeled in future work (e.g. Starke et al, 2021;Martínez-Tossas et al, 2021).…”
Section: Setup Of Large Eddy Simulations Of the Diurnal Cyclementioning
confidence: 99%