Abstract
Abstract. In this article, the authors present a test of wake steering at a commercial wind farm. A single fixed yaw offset, rather than an optimized offset schedule, is alternately applied to an upstream wind turbine, and the effect on downstream turbines is analyzed. This experimental design allows for comparison with engineering wake models independent of the controller's ability to track a varying offset and correctly measure wind direction. Additionally, by applying the same offset in beneficial and detrimental conditions, we are able to collect important data for assessing second-order wake model predictions. Results of the article from collected data show good agreement with the FLOw Redirection and Induction in Steady State (FLORIS) engineering model and offer support for the asymmetry of wake steering predicted by newer models, such as the Gauss–curl hybrid model.
Highlights
Wake steering is a form of wind farm control in which intentional yaw misalignments are applied to upstream wind turbines to change their wakes to benefit downstream turbines (Wagenaar et al, 2012)
The FLOw Redirection and Induction in Steady State (FLORIS) software framework (National Renewable Energy Laboratory, 2019) is one such engineering tool, and it includes several engineering models of wake and wake steering, as well as the tools used in the design and analysis of wind farm control strategies
Since its incorporation into FLORIS, it is the standard tool used in design, optimization, and analysis of wind farm control, because of its ability to predict the second-order effects of secondary steering and yaw-added recovery, in addition to wake deflection
Summary
Wake steering is a form of wind farm control in which intentional yaw misalignments are applied to upstream wind turbines to change their wakes to benefit downstream turbines (Wagenaar et al, 2012). Since its incorporation into FLORIS, it is the standard tool used in design, optimization, and analysis of wind farm control, because of its ability to predict the second-order effects of secondary steering and yaw-added recovery, in addition to wake deflection. In Fleming et al (2020), for example, it is posited that the main gap in achieved versus modeled wake-steering results is attributable to this tracking/controller problem This experiment offers a test of that supposition. A second advantage is that because the same offset is applied regardless of whether the wake would be steered away from a downstream wind turbine (normal wake steering) or toward a downstream wind turbine (what might be called “wrong-way steering”), we can examine the asymmetry of wake steering This provides an important test of the yaw-added recovery component of the GCH model of wake steering. Model predictions are compared to measured results to assess agreement
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
