the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Direct integration of non-axisymmetric Gaussian wind-turbine wake including yaw and wind-veer effects
Abstract. The performance of a wind farm is significantly influenced by turbine-wake interactions. These interactions are typically quantified for each turbine by evaluating its rotor-averaged wind speed, which is impacted by upstream wakes, using numerical methods that involve discrete points across the rotor disk. Although various point distributions exist in the literature, we introduce an analytical expression for integrating a Gaussian wake over a circular disk, which accounts for wake stretching and shearing resulting from upstream turbine yaw and wind veer. This expression is versatile, accommodating any lateral offset and hub-height difference between the wake source (upstream turbines) and the target turbine. Validation against numerical evaluations of the rotor-averaged deficit at various downstream locations from the wake source demonstrates excellent agreement. Furthermore, the analytical expression is shown to be compatible with multiple wake superposition models. The presented solution is differentiable, providing a foundation for deriving mathematical expressions for the gradients of a turbine's power generation concerning its location within a farm and/or the operational conditions of upstream turbines. This capability is particularly advantageous for optimization-based applications.
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Status: open (until 27 Oct 2024)
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RC1: 'Comment on wes-2024-107', Anonymous Referee #1, 20 Sep 2024
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General Comments
The use of engineering wake models, and hence their development, is still of key interest to the wind industry. Over recent years, the individual building blocks of such models have been rightfully challenged and revised. This paper presents a rigorous exploration of one key aspect of such models that has received comparatively little attention, and in so doing derives a analytic solution to the Rotor Averaged Wind Speed problem that may significantly improve the computational speed of such models.
The mathematical derivation is clear, well linked to the physics of the problem, and relies on deep mathematical insights.
Specific Comments
- The wake model of Bastankhah and Porté-Agel is used extensively to demonstrate the solution, however the solution would be applicable to a wide range of other wake models in which the Gaussian profile is used. The wider applicability of this result should be more clearly stated in section 2.1.
- Rather than “Rotor Average Windspeed”, many wake models use Root Mean Squared (RMS) speed or “Root Mean Cubed” (RMS) in calculation of thrust or power respectively. Assuming this method cannot be readily extended to RMS and RMC, a note to this restriction should be made in the text.
- Many wake models only use the “nacelle wind speed” (i.e. no rotor averaging) in order to reduce computational cost. I would recommend:
- In the abstract “These interactions are typically quantified for each turbine by evaluating its rotor-averaged wind speed” be amended,
- The nacelle point wind speed be included on the axes in figure 2 to highlight the benefit or rotor average wind speed over single point wind speed.
The following 2 comments relate to all “rotor average wind speed” methods, but should also be considered in the text:
- The impact of rotor induction perturbing the inflow profile (i.e. the rotor average speed the rotor experiences could be different from that calculated here)
- The impact of the blade geometry (i.e. in a real turbine, the wind-speed at the nacelle is much less important than the wind speed at ~2/3 of the blade length).
Technical Points:
- Line 23: Jensen 1983 also proposed a “Cosine-bell” profile.
- Figure 1: this figure is not that clear given the number of measurements that must be shown. Perhaps a set of orthographic views would be clearer?
- Line 121: “solution” (end of line) should be “approximation” or “approximate solution”.
- Line 136: This is the first introduction of Kappa in the text and its importance and meaning are lost. Please define kappa after Eqn. 8 or 9 (as a numbered display equation), and include a short description of it’s physical meaning (i.e. “equation 8 is valid for low values of kappa. Kappa is high if…”).
- Line 247 to end of page: “the number of turbines with non-negligible deficits”… In large windfarms, the sum of a large number of upstream “negligible” wakes becomes extremely significant. It is not safe to “neglect” the large number of up-stream turbines just because each one has a small impact, as this results in significant deltas in total windfarm power.
Citation: https://doi.org/10.5194/wes-2024-107-RC1
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