Abstract:Wind turbines are typically closely spaced in wind farms, and thus operate in the wake of upstream turbines and experience power losses. Currently, one of the techniques to reduce the wake interaction between turbines within a wind farm is to yaw the upstream turbine with regards to the incident wind direction. The objective is to deflect the wake, which can potentially increase the overall power output and the annual energy production of the wind farm. Experimental data can aid the process to thoroughly analy… Show more
“…This is consistent with recent laboratory results reported by Hulsman et al. (2020). The next important term in the momentum equation is the Reynolds normal stress.…”
Section: Derivation Of Wind Farm Analytical Solutionsupporting
“…This is consistent with recent laboratory results reported by Hulsman et al. (2020). The next important term in the momentum equation is the Reynolds normal stress.…”
Section: Derivation Of Wind Farm Analytical Solutionsupporting
“…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.…”
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.
“…This way a collective pitching of all three rotor blades is achieved. Initially the rotor blade shafts of the MoWiTO 0.6 have been connected via screws to the rotor blade mount 5 O. However, both the exact positioning of the drill hole for the screws and the tightening of the screws led to blade misalignments mentioned above.…”
Section: New Procedures For Precise Rotor Blade Mountingmentioning
confidence: 99%
“…Experiments that take advantage of more than one model wind turbine, especially experiments which aim at simulating whole wind farms, create a demand for relatively small model wind turbines due to limited wind tunnel sizes. In Oldenburg, this need is met with a new version of the MoWiTO 0.6 that has a rotor diameter of 0.58 m [5] [6]. The rotor blades are based on an SD7003 airfoil profile [4].…”
Section: Introductionmentioning
confidence: 99%
“…The rotor blades are based on an SD7003 airfoil profile [4]. This model turbine type is well suited for multiple turbine experiments inside the Oldenburg wind tunnel, with a size of 3 x 3 x 30 m³ [5]. However, its small size comes at the cost of having a collective pitch control mechanism explained in [6], instead of an individual pitch control.…”
Model wind turbines with rotor diameters below 1 m often make use of a collective pitch control instead of an individual pitch control. As a result it is more difficult to achieve a high precision in the rotor blade pitch angle, especially when it comes to achieving the same pitch angle on each rotor blade. For the Model Wind Turbine Oldenburg 0.6 (MoWiTO 0.6) a rotor blade misalignment between the individual blades of up to 2.5 degrees was found. Due to the design, similar blade misalignments could also occur at other model wind turbines with a collective pitch mechanism. Here, it is shown that even small rotor blade misalignments influence the experimental results of small model wind turbines and should be avoided. In addition, a new mounting procedure is presented that serves to minimize blade misalignments when assembling the individual rotor blades in the manufacturing process. This procedure makes use of 3D printed parts that enclose the rotor blade during the mounting process and guarantee a precise pitch angle. The presented procedure is easily applicable to other model wind turbines as well. The subsequent experimental investigations of blade misalignments in the range of ±2.5 degrees show a significant influence on the turbine performance and thrust. A blade misalignment of +2.4 degrees for only one blade already decreases the mean power output of the turbine by up to 9%. Additionally, the mean thrust measurements show a clear influence of the blade misalignment (up to 17% difference) in comparison to the optimal pitch reference case. Furthermore the 1P (one-per-revolution) peaks of the thrust spectrum are significantly increased with present blade misalignments which suggests cyclic loads. These results underline the relevance of a precise rotor blade attachment for model wind turbines used in wind tunnel experiments.
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