J
Jan-Willem van Wingerden
Researcher at Delft University of Technology
Publications - 190
Citations - 3600
Jan-Willem van Wingerden is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Turbine & Wind power. The author has an hindex of 21, co-authored 151 publications receiving 2554 citations. Previous affiliations of Jan-Willem van Wingerden include National Renewable Energy Laboratory & Vestas.
Papers
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Journal ArticleDOI
Evaluating techniques for redirecting turbine wakes using SOWFA
Paul Fleming,P.M.O. Gebraad,Sang Lee,Jan-Willem van Wingerden,Kathryn Johnson,M. Churchfield,John Michalakes,Philippe R. Spalart,Patrick Moriarty +8 more
TL;DR: In this article, the authors investigate several possible methods for redirecting turbine wakes, including some existing and some novel approaches, and compare their ability to redirect turbine wakes and their effects on turbine power capture and structural loads using the high-fidelity wind plant simulation tool Simulator for On/Offshore Wind Farm Applications.
Journal ArticleDOI
Subspace identification of Bilinear and LPV systems for open- and closed-loop data
TL;DR: A factorization is introduced which makes it possible to form a predictor that predicts the output, which is based on past inputs, outputs, and scheduling data, and contains the LPV equivalent of the Markov parameters.
Journal ArticleDOI
Simulation comparison of wake mitigation control strategies for a two-turbine case
Paul Fleming,P.M.O. Gebraad,Sang Lee,Jan-Willem van Wingerden,Kathryn Johnson,M. Churchfield,John Michalakes,Philippe R. Spalart,Patrick Moriarty +8 more
TL;DR: In this paper, high-fidelity simulations of a two-turbine fully waked scenario are used to investigate several wake mitigation strategies, including modification of yaw and tilt angles of an upstream turbine to induce wake skew, as well as repositioning of the downstream turbine.
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Subspace identification of MIMO LPV systems using a periodic scheduling sequence
TL;DR: It is shown that the crucial step in determining the original LPV system is to ensure the obtained observability matrices are defined with respect to the same state basis.
Journal ArticleDOI
Analysis of axial‐induction‐based wind plant control using an engineering and a high‐order wind plant model
TL;DR: In this article, the axial induction-based control of wind turbines is investigated in which the generator torque or blade pitch degrees of freedom of the wind turbines are adjusted to improve the performance of the turbines.