Print Email Facebook Twitter Unscented Kalman filter-based blade-effective wind speed estimation for a vertical-axis wind turbine Title Unscented Kalman filter-based blade-effective wind speed estimation for a vertical-axis wind turbine Author Brandetti, L. (TU Delft Wind Energy) Liu, Y. (TU Delft Team Riccardo Ferrari) Pamososuryo, A.K. (TU Delft Team Jan-Willem van Wingerden) Mulders, S.P. (TU Delft Team Mulders) Watson, S.J. (TU Delft Wind Energy) van Wingerden, J.W. (TU Delft Team Jan-Willem van Wingerden) Date 2023 Abstract On-shore horizontal-axis wind turbines (HAWTs) provide a cost-effective solution for low carbon electricity generation. However, public acceptance is still a problem. A possible alternative to a HAWT is a vertical-axis wind turbine (VAWT), which is more visually appealing and less noisy. Furthermore, the inherent omni-directionality of VAWTs makes them suitable for installation in urban environments where the turbulence levels are high, and the wind direction variations are significant. However, the variation with the azimuth angle of the blade-effective wind speed and the angle of attack makes VAWT performance difficult to predict. This study proposes a wind speed estimator for a VAWT to address this challenge and to exploit knowledge of the blade-effective wind speed for load reduction control strategies. An Unscented Kalman Filter is used to solve the blade-effective wind speed estimation problem and is applied to a realistic 1.5 m two-bladed H-Darrieus VAWT model, for which the aerodynamic characteristics are determined using an actuator cylinder model. The system performance is evaluated using different wind speed variation scenarios. Overall, good agreement between the reference and estimated blade-effective wind speed is found both in terms of trend and absolute values. Subject Blade-effective wind speedKalman filteringVertical-axis wind turbineWind energyWind speed estimation To reference this document use: http://resolver.tudelft.nl/uuid:9a71025e-3a7e-4d26-b249-6ba410b9731a DOI https://doi.org/10.1016/j.ifacol.2023.10.1033 Source IFAC-PapersOnLine, 56 (2), 8393-8399 Event 22nd IFAC World Congress, 2023-07-09 → 2023-07-14, Yokohama, Japan Part of collection Institutional Repository Document type journal article Rights © 2023 L. Brandetti, Y. Liu, A.K. Pamososuryo, S.P. Mulders, S.J. Watson, J.W. van Wingerden Files PDF 1-s2.0-S2405896323014167-main.pdf 1.64 MB Close viewer /islandora/object/uuid:9a71025e-3a7e-4d26-b249-6ba410b9731a/datastream/OBJ/view