A Low Computational Framework for Testing Wind Farm Controllers
Novais, F. ., Schlipf, D. ., & Raach, S. . (2021). A Low Computational Framework for Testing Wind Farm Controllers. http://doi.org/10.5281/zenodo.5008772 (Original work published 2024)
Publikationen
2021
Smart Lidar Systems for Floating Offshore Wind Turbines
Thomas, F. ., Schlipf, D. ., & Raach, S. . (2021). Smart Lidar Systems for Floating Offshore Wind Turbines. http://doi.org/10.5281/zenodo.5004524 (Original work published 2024)Exportformate
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Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment
Lemmer, F. ., Lehmann, K. ., Raach, S. ., Al, M. ., Skandali, D. ., Schlipf, D. ., … Cheng, P. W. (2021). Assessment of a State-Feedback Controller and Observer in a Floating Wind Turbine Scaled Experiment. http://doi.org/10.5281/zenodo.5004916 (Original work published 2024)Exportformate
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The Smart Lidar Concept - New Opportunities for the Lidar Community
Schlipf, D. ., Guo, F. ., Raach, S. ., & Zhu, H. . (2021). The Smart Lidar Concept - New Opportunities for the Lidar Community. http://doi.org/10.5281/zenodo.4627168 (Original work published 2024)Exportformate
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2020
Lidar-based Estimation of Turbulence Intensity for Controller Scheduling
Schlipf, D. ., Guo, F. ., & Raach, S. . (2020). Lidar-based Estimation of Turbulence Intensity for Controller Scheduling. In Journal of Physics: Conference Series (Bd. 1618, S. 032053). http://doi.org/10.1088/1742-6596/1618/3/032053 (Original work published 2024)Exportformate
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Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar
Schlipf, D. ., Lemmer, F. ., & Raach, S. . (2020). Multi-Variable Feedforward Control for Floating Wind Turbines Using Lidar. In International Ocean and Polar Engineering Conference. http://doi.org/10.18419/opus-11067 (Original work published 2024)Exportformate
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Modeling Uncertainties of Wind Field Reconstruction Using Lidar
Schlipf, D. ., Koch, M. ., & Raach, S. . (2020). Modeling Uncertainties of Wind Field Reconstruction Using Lidar. In Journal of Physics: Conference Series (Bd. 1452, S. 012088). http://doi.org/10.1088/1742-6596/1452/1/012088 (Original work published 2024)Exportformate
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2018
IEA wind task 32: best practices for the certification of lidar-assisted control applications
Schlipf, D. ., Hille, N. ., Raach, S. ., Scholbrock, A. ., & Simley, E. . (2018). IEA wind task 32: best practices for the certification of lidar-assisted control applications. In Journal of Physics: Conference Series (Bd. 1102, S. 012010). Hamburg, Germany. http://doi.org/10.1088/1742-6596/1102/1/012010 (Original work published 2024)Exportformate
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Systems engineering for lidar-assisted control: a sequential approach
Schlipf, D. ., Fürst, H. ., Raach, S. ., & Haizmann, F. . (2018). Systems engineering for lidar-assisted control: a sequential approach. In Journal of Physics: Conference Series (Bd. 1102, S. 012014). Hamburg, Germany. http://doi.org/10.1088/1742-6596/1102/1/012014 (Original work published 2024)Exportformate
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Analysis of control-oriented wake modeling tools using lidar field results
Annoni, J. ., Fleming, P. ., Scholbrock, A. ., Roadman, J. ., Dana, S. ., Adcock, C. ., … Schlipf, D. . (2018). Analysis of control-oriented wake modeling tools using lidar field results. Wind Energy Science, 3, 819–831. http://doi.org/10.5194/wes-3-819-2018 (Original work published 2024)Exportformate
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