Continued Results from a Field Campaign of Wake Steering
Applied at a Commercial Wind Farm: Part 2

Fleming, Paul; King, Jennifer; Simley, Eric; Roadman, Jason; Scholbrock, Andrew; Murphy, P. J.; Lundquist, Julie K.; Moriarty, Patrick; Fleming-Dutra, Katherine E; Dam, Jeroen van; Bay, Christopher J.; Mudafort, Rafael; Jäger, D.; Skopek, Jason; Scott, Michael L.; Ryan, Brady; Guernsey, Charles; Brake, Dan

doi:10.5194/wes-2019-104

Cited by 15 publications

(23 citation statements)

References 21 publications

(46 reference statements)

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“…Details of cross‐stream components of wake velocity have been examined by Martínez‐Tossas et al, 11 in which a ‘curled‐wake’ model is formulated, and by Shapiro et al, 12 in which yawed turbines are viewed as lifting lines. In recent developments, several wind tunnel studies (for example, 13‐16 ), numerical simulations (for example, 17‐20 ), as well as field studies (for example, 21‐26 ) have examined wake steering for wind farms of single‐rotor wind turbines, in which improvements have been seen in terms of both power output and reliability.…”

Section: Introductionmentioning

confidence: 99%

Wake steering of multirotor wind turbines

et al. 2021

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In this paper, wake steering is applied to multirotor turbines to determine whether it has the potential to reduce wind plant wake losses. Through application of rotor yaw to multirotor turbines, a new degree of freedom is introduced to wind farm control such that wakes can be expanded, channelled or redirected to improve inflow conditions for downstream turbines. Five different yaw configurations are investigated (including a baseline case) by employing large‐eddy simulations (LES) to generate a detailed representation of the velocity field downwind of a multirotor wind turbine. Two lower‐fidelity models from single‐rotor yaw studies (curled‐wake model and analytical Gaussian wake model) are extended to the multirotor case, and their results are compared with the LES data. For each model, the wake is analysed primarily by examining wake cross‐sections at different downwind distances. Further quantitative analysis is carried out through characterisations of wake centroids and widths over a range of streamwise locations and through a brief analysis of power production. Most significantly, it is shown that rotor yaw can have a considerable impact on both the distribution and magnitude of the wake velocity deficit, leading to power gains for downstream turbines. The lower‐fidelity models show small deviation from the LES results for specific configurations; however, both are able to reasonably capture the wake trends over a large streamwise range.

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Section: Introductionmentioning

confidence: 99%

Wake steering of multirotor wind turbines

et al. 2021

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“…This model will demonstrate how it compares with LES of two-turbines (Section 3), three turbines (Section 4), five turbines (Section 5), and a 38-turbine wind farm (Section 6). In addition to these simulations, the proposed model is also validated using the results of a wake steering field campaign at a commercial wind farm (Fleming et al (2019b)).…”

Section: Introductionmentioning

confidence: 99%

Controls-Oriented Model for Secondary Effects of Wake Steering

King¹,

Fleming²,

King³

et al. 2020

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Abstract. This paper presents a model to incorporate the secondary effects of wake steering in large arrays of turbines. Previous models have focused on the aerodynamic interaction of wake steering between two turbines. The model proposed in this paper builds on these models to include yaw-induced wake recovery and secondary steering seen in large arrays of turbines when wake steering is performed. Turbines operating in yaw misaligned conditions generate counter-rotating vortices that entrain momentum and contribute to the deformation and deflection of the wake at downstream turbines. Rows of turbines can compound the effects of wake steering that benefit turbines far downstream. This model quantifies these effects and demonstrates that wake steering has greater potential to increase the performance of a wind farm due to these counter-rotating vortices especially for large rows of turbines. This is validated using numerous large eddy simulations for two-turbine, three-turbine, five-turbine, and wind farm scenarios.

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“…These small differences can have direct consequences on the power production of the farm. The validation efforts and loads analysis were summarized into several articles [5,6,9] (Task 5.4). Table I provides a comparison between simulation and measurements for a wind direction of 340 deg.…”

Section: Phase II Task #4: Run Experimental Campaign On Selected Subset Of Wind Plant Turbine Pairsmentioning

confidence: 99%