Research work carried out with the support of the CL-Windcon EU project where flow control strategies (flow redirection or yaw misalignment, and flow induction control or de-rating) are validated. These strategies were divided in optimizing a wind farm (WF) in terms of wind farm Annual Energy Production (AEP), and in optimizing the wind farm to reduce the worst Damage Equivalent Load (DEL) in blade root flap-wise moment that sees a wind turbine (WT) while keeping the WF AEP as high as possible. Two numerical methods were employed. A modified FLORIS that takes into account the DEL was used in the optimization process and the simulations, the baselines and the optimized configurations, were replicated with a higher fidelity method, SOWFA, to verify the lower fidelity tool results prior to implementation in a real system. From the studied cases, it has been found that the wake steering approaches maximized the total power by 6 to 15%, and the flow induction strategies, despite having a poor performance increasing of the overall power productions, showed their validity for reducing the flap-wise moment DEL of the WT blade. Numerically, SOWFA and FLORIS simulations showed significant discrepancies in partial wake conditions, which suggested a need of a new tuning of the FLORIS parameters for partial wake conditions. Finally, mention that now, thanks to EU CL-Windcon project there are publicly available experimental data, wind tunnel data, and SOWFA data that could be used for validation purpose.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.