Articles | Volume 6, issue 3
https://doi.org/10.5194/wes-6-885-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-885-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model-based design of a wave-feedforward control strategy in floating wind turbines
Alessandro Fontanella
CORRESPONDING AUTHOR
Mechanical Engineering Department, Politecnico di Milano, Via La Masa 1, Milan, 20156, Italy
Mees Al
Sowento GmbH, Donizettistraße 1A, 70195 Stuttgart, Germany
Jan-Willem van Wingerden
Delft Center for Systems and Control, Delft University of Technology, Delft, 2628 CD, the Netherlands
Marco Belloli
Mechanical Engineering Department, Politecnico di Milano, Via La Masa 1, Milan, 20156, Italy
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This paper investigates the impact of large movements allowed by floating wind turbine foundations on their aerodynamics and wake behavior. Wind tunnel tests with a model turbine reveal that platform motions affect wake patterns and turbulence levels. Insights from these experiments are crucial for optimizing large-scale floating wind farms. The dataset obtained from the experiment is published and can aid in developing simulation tools for floating wind turbines.
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Successful wave tank experiments were conducted to evaluate the feedforward (FF) control strategy benefits in terms of structural loads and power quality of floating wind turbine components. The wave FF control strategy is effective when it comes to alleviating the effects of the wave forces on the floating offshore wind turbines, whereas wave FF control requires a significant amount of actuation to minimize the platform pitch motion, which makes such technology unfavorable for that objective.
Alessandro Fontanella, Giorgio Colpani, Marco De Pascali, Sara Muggiasca, and Marco Belloli
Wind Energ. Sci., 9, 1393–1417, https://doi.org/10.5194/wes-9-1393-2024, https://doi.org/10.5194/wes-9-1393-2024, 2024
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Waves can boost a floating wind turbine's power output by moving its rotor against the wind. Studying this, we used four models to explore the impact of waves and platform dynamics on turbines in the Mediterranean. We found that wind turbulence, not waves, primarily affects power fluctuations. In real conditions, floating wind turbines produce less energy compared to fixed-bottom ones, mainly due to platform tilt.
Maarten J. van den Broek, Marcus Becker, Benjamin Sanderse, and Jan-Willem van Wingerden
Wind Energ. Sci., 9, 721–740, https://doi.org/10.5194/wes-9-721-2024, https://doi.org/10.5194/wes-9-721-2024, 2024
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Wind turbine wakes negatively affect wind farm performance as they impinge on downstream rotors. Wake steering reduces these losses by redirecting wakes using yaw misalignment of the upstream rotor. We develop a novel control strategy based on model predictions to implement wake steering under time-varying conditions. The controller is tested in a high-fidelity simulation environment and improves wind farm power output compared to a state-of-the-art reference controller.
Livia Brandetti, Sebastiaan Paul Mulders, Roberto Merino-Martinez, Simon Watson, and Jan-Willem van Wingerden
Wind Energ. Sci., 9, 471–493, https://doi.org/10.5194/wes-9-471-2024, https://doi.org/10.5194/wes-9-471-2024, 2024
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This research presents a multi-objective optimisation approach to balance vertical-axis wind turbine (VAWT) performance and noise, comparing the combined wind speed estimator and tip-speed ratio (WSE–TSR) tracking controller with a baseline. Psychoacoustic annoyance is used as a novel metric for human perception of wind turbine noise. Results showcase the WSE–TSR tracking controller’s potential in trading off the considered objectives, thereby fostering the deployment of VAWTs in urban areas.
Maarten J. van den Broek, Delphine De Tavernier, Paul Hulsman, Daan van der Hoek, Benjamin Sanderse, and Jan-Willem van Wingerden
Wind Energ. Sci., 8, 1909–1925, https://doi.org/10.5194/wes-8-1909-2023, https://doi.org/10.5194/wes-8-1909-2023, 2023
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As wind turbines produce power, they leave behind wakes of slow-moving air. We analyse three different models to predict the effects of these wakes on downstream wind turbines. The models are validated with experimental data from wind tunnel studies for steady and time-varying conditions. We demonstrate that the models are suitable for optimally controlling wind turbines to improve power production in large wind farms.
Stefano Cioni, Francesco Papi, Leonardo Pagamonci, Alessandro Bianchini, Néstor Ramos-García, Georg Pirrung, Rémi Corniglion, Anaïs Lovera, Josean Galván, Ronan Boisard, Alessandro Fontanella, Paolo Schito, Alberto Zasso, Marco Belloli, Andrea Sanvito, Giacomo Persico, Lijun Zhang, Ye Li, Yarong Zhou, Simone Mancini, Koen Boorsma, Ricardo Amaral, Axelle Viré, Christian W. Schulz, Stefan Netzband, Rodrigo Soto-Valle, David Marten, Raquel Martín-San-Román, Pau Trubat, Climent Molins, Roger Bergua, Emmanuel Branlard, Jason Jonkman, and Amy Robertson
Wind Energ. Sci., 8, 1659–1691, https://doi.org/10.5194/wes-8-1659-2023, https://doi.org/10.5194/wes-8-1659-2023, 2023
Short summary
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Simulations of different fidelities made by the participants of the OC6 project Phase III are compared to wind tunnel wake measurements on a floating wind turbine. Results in the near wake confirm that simulations and experiments tend to diverge from the expected linearized quasi-steady behavior when the reduced frequency exceeds 0.5. In the far wake, the impact of platform motion is overestimated by simulations and even seems to be oriented to the generation of a wake less prone to dissipation.
Livia Brandetti, Sebastiaan Paul Mulders, Yichao Liu, Simon Watson, and Jan-Willem van Wingerden
Wind Energ. Sci., 8, 1553–1573, https://doi.org/10.5194/wes-8-1553-2023, https://doi.org/10.5194/wes-8-1553-2023, 2023
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This research presents the additional benefits of applying an advanced combined wind speed estimator and tip-speed ratio tracking (WSE–TSR) controller compared to the baseline Kω2. Using a frequency-domain framework and an optimal calibration procedure, the WSE–TSR tracking control scheme shows a more flexible trade-off between conflicting objectives: power maximisation and load minimisation. Therefore, implementing this controller on large-scale wind turbines will facilitate their operation.
Alessandro Fontanella, Elio Daka, Felipe Novais, and Marco Belloli
Wind Energ. Sci., 8, 1351–1368, https://doi.org/10.5194/wes-8-1351-2023, https://doi.org/10.5194/wes-8-1351-2023, 2023
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This study aims to enhance wind turbine modeling by incorporating industry-standard control functionalities. A control design framework was developed and applied to a 1 : 100 scale model of a large floating wind turbine. Wind tunnel tests confirmed the scaled turbine accurately reproduced the steady-state rotor speed, blade pitch, and thrust torque characteristics of the full-size turbine. However, challenges arose in simulating the turbine's aerodynamic response during above-rated operation.
Daniel van den Berg, Delphine de Tavernier, and Jan-Willem van Wingerden
Wind Energ. Sci., 8, 849–864, https://doi.org/10.5194/wes-8-849-2023, https://doi.org/10.5194/wes-8-849-2023, 2023
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Wind turbines placed in farms interact with their wake, lowering the power production of the wind farm. This can be mitigated using so-called wake mixing techniques. This work investigates the coupling between the pulse wake mixing technique and the motion of floating wind turbines using the pulse. Frequency response experiments and time domain simulations show that extra movement is undesired and that the
optimalexcitation frequency is heavily platform dependent.
Roger Bergua, Amy Robertson, Jason Jonkman, Emmanuel Branlard, Alessandro Fontanella, Marco Belloli, Paolo Schito, Alberto Zasso, Giacomo Persico, Andrea Sanvito, Ervin Amet, Cédric Brun, Guillén Campaña-Alonso, Raquel Martín-San-Román, Ruolin Cai, Jifeng Cai, Quan Qian, Wen Maoshi, Alec Beardsell, Georg Pirrung, Néstor Ramos-García, Wei Shi, Jie Fu, Rémi Corniglion, Anaïs Lovera, Josean Galván, Tor Anders Nygaard, Carlos Renan dos Santos, Philippe Gilbert, Pierre-Antoine Joulin, Frédéric Blondel, Eelco Frickel, Peng Chen, Zhiqiang Hu, Ronan Boisard, Kutay Yilmazlar, Alessandro Croce, Violette Harnois, Lijun Zhang, Ye Li, Ander Aristondo, Iñigo Mendikoa Alonso, Simone Mancini, Koen Boorsma, Feike Savenije, David Marten, Rodrigo Soto-Valle, Christian W. Schulz, Stefan Netzband, Alessandro Bianchini, Francesco Papi, Stefano Cioni, Pau Trubat, Daniel Alarcon, Climent Molins, Marion Cormier, Konstantin Brüker, Thorsten Lutz, Qing Xiao, Zhongsheng Deng, Florence Haudin, and Akhilesh Goveas
Wind Energ. Sci., 8, 465–485, https://doi.org/10.5194/wes-8-465-2023, https://doi.org/10.5194/wes-8-465-2023, 2023
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This work examines if the motion experienced by an offshore floating wind turbine can significantly affect the rotor performance. It was observed that the system motion results in variations in the load, but these variations are not critical, and the current simulation tools capture the physics properly. Interestingly, variations in the rotor speed or the blade pitch angle can have a larger impact than the system motion itself.
Federico Taruffi, Simone Di Carlo, Sara Muggiasca, and Marco Belloli
Wind Energ. Sci., 8, 71–84, https://doi.org/10.5194/wes-8-71-2023, https://doi.org/10.5194/wes-8-71-2023, 2023
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The work focuses on the experimental validation of the design of a large-scale wind turbine model, based on the DTU 10 MW reference wind turbine, installed on a scaled multipurpose platform deployed in an outdoor natural laboratory. The aim of the validation is to assess whether the behaviour of the model respects the targets established during the design phase in terms of structure, rotor aerodynamics and control. The outcome of the investigation ensures the validity of the design process.
Johan Meyers, Carlo Bottasso, Katherine Dykes, Paul Fleming, Pieter Gebraad, Gregor Giebel, Tuhfe Göçmen, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 2271–2306, https://doi.org/10.5194/wes-7-2271-2022, https://doi.org/10.5194/wes-7-2271-2022, 2022
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We provide a comprehensive overview of the state of the art and the outstanding challenges in wind farm flow control, thus identifying the key research areas that could further enable commercial uptake and success. To this end, we have structured the discussion on challenges and opportunities into four main areas: (1) insight into control flow physics, (2) algorithms and AI, (3) validation and industry implementation, and (4) integrating control with system design
(co-design).
Marcus Becker, Bastian Ritter, Bart Doekemeijer, Daan van der Hoek, Ulrich Konigorski, Dries Allaerts, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 2163–2179, https://doi.org/10.5194/wes-7-2163-2022, https://doi.org/10.5194/wes-7-2163-2022, 2022
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In this paper we present a revised dynamic control-oriented wind farm model. The model can simulate turbine wake behaviour in heterogeneous and changing wind conditions at a very low computational cost. It utilizes a three-dimensional turbine wake model which also allows capturing vertical wind speed differences. The model could be used to maximise the power generation of with farms, even during events like a wind direction change. It is publicly available and open for further development.
Tuhfe Göçmen, Filippo Campagnolo, Thomas Duc, Irene Eguinoa, Søren Juhl Andersen, Vlaho Petrović, Lejla Imširović, Robert Braunbehrens, Jaime Liew, Mads Baungaard, Maarten Paul van der Laan, Guowei Qian, Maria Aparicio-Sanchez, Rubén González-Lope, Vinit V. Dighe, Marcus Becker, Maarten J. van den Broek, Jan-Willem van Wingerden, Adam Stock, Matthew Cole, Renzo Ruisi, Ervin Bossanyi, Niklas Requate, Simon Strnad, Jonas Schmidt, Lukas Vollmer, Ishaan Sood, and Johan Meyers
Wind Energ. Sci., 7, 1791–1825, https://doi.org/10.5194/wes-7-1791-2022, https://doi.org/10.5194/wes-7-1791-2022, 2022
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The FarmConners benchmark is the first of its kind to bring a wide variety of data sets, control settings, and model complexities for the (initial) assessment of wind farm flow control benefits. Here we present the first part of the benchmark results for three blind tests with large-scale rotors and 11 participating models in total, via direct power comparisons at the turbines as well as the observed or estimated power gain at the wind farm level under wake steering control strategy.
Alessandro Fontanella, Alan Facchinetti, Simone Di Carlo, and Marco Belloli
Wind Energ. Sci., 7, 1711–1729, https://doi.org/10.5194/wes-7-1711-2022, https://doi.org/10.5194/wes-7-1711-2022, 2022
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The aerodynamics of floating wind turbines is complicated by large motions permitted by the foundation. The interaction between turbine, wind, and wake is not yet fully understood. The wind tunnel experiments of this paper shed light on the aerodynamic force and wake response of the floating IEA 15 MW turbine subjected to platform motion as would occur during normal operation. This will help future research on turbine and wind farm control.
Daan van der Hoek, Joeri Frederik, Ming Huang, Fulvio Scarano, Carlos Simao Ferreira, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 1305–1320, https://doi.org/10.5194/wes-7-1305-2022, https://doi.org/10.5194/wes-7-1305-2022, 2022
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The paper presents a wind tunnel experiment where dynamic induction control was implemented on a small-scale turbine. By periodically changing the pitch angle of the blades, the low-velocity turbine wake is perturbed, and hence it recovers at a faster rate. Small particles were released in the flow and subsequently recorded with a set of high-speed cameras. This allowed us to reconstruct the flow behind the turbine and investigate the effect of dynamic induction control on the wake.
Yichao Liu, Riccardo Ferrari, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 523–537, https://doi.org/10.5194/wes-7-523-2022, https://doi.org/10.5194/wes-7-523-2022, 2022
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The objective of the paper is to develop a data-driven output-constrained individual pitch control approach, which will not only mitigate the blade loads but also reduce the pitch activities. This is achieved by only reducing the blade loads violating a user-defined bound, which leads to an economically viable load control strategy. The proposed control strategy shows promising results of load reduction in the wake-rotor overlapping and turbulent sheared wind conditions.
Unai Gutierrez Santiago, Alfredo Fernández Sisón, Henk Polinder, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 505–521, https://doi.org/10.5194/wes-7-505-2022, https://doi.org/10.5194/wes-7-505-2022, 2022
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The gearbox is one of the main contributors to the overall cost of wind energy, and it is acknowledged that we still do not fully understand its loading. The study presented in this paper develops a new alternative method to measure input rotor torque in wind turbine gearboxes, overcoming the drawbacks related to measuring on a rotating shaft. The method presented in this paper could make measuring gearbox torque more cost-effective, which would facilitate its adoption in serial wind turbines.
Aemilius A. W. van Vondelen, Sachin T. Navalkar, Alexandros Iliopoulos, Daan C. van der Hoek, and Jan-Willem van Wingerden
Wind Energ. Sci., 7, 161–184, https://doi.org/10.5194/wes-7-161-2022, https://doi.org/10.5194/wes-7-161-2022, 2022
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The damping of an offshore wind turbine is a difficult physical quantity to predict, although it plays a major role in a cost-effective turbine design. This paper presents a review of all approaches that can be used for damping estimation directly from operational wind turbine data. As each use case is different, a novel suitability table is presented to enable the user to choose the most appropriate approach for the given availability and characteristics of measurement data.
Alessandro Fontanella, Ilmas Bayati, Robert Mikkelsen, Marco Belloli, and Alberto Zasso
Wind Energ. Sci., 6, 1169–1190, https://doi.org/10.5194/wes-6-1169-2021, https://doi.org/10.5194/wes-6-1169-2021, 2021
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The scale model wind tunnel experiment presented in this paper investigated the aerodynamic response of a floating turbine subjected to imposed surge motion. The problem is studied under different aspects, from airfoil aerodynamics to wake, in a coherent manner. Results show quasi-static behavior for reduced frequencies lower than 0.5 and possible unsteadiness for higher surge motion frequencies. Data are made available to the public for future verification and calibration of numerical models.
Bart M. Doekemeijer, Stefan Kern, Sivateja Maturu, Stoyan Kanev, Bastian Salbert, Johannes Schreiber, Filippo Campagnolo, Carlo L. Bottasso, Simone Schuler, Friedrich Wilts, Thomas Neumann, Giancarlo Potenza, Fabio Calabretta, Federico Fioretti, and Jan-Willem van Wingerden
Wind Energ. Sci., 6, 159–176, https://doi.org/10.5194/wes-6-159-2021, https://doi.org/10.5194/wes-6-159-2021, 2021
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This article presents the results of a field experiment investigating wake steering on an onshore wind farm. The measurements show that wake steering leads to increases in power production of up to 35 % for two-turbine interactions and up to 16 % for three-turbine interactions. However, losses in power production are seen for various regions of wind directions. The results suggest that further research is necessary before wake steering will consistently lead to energy gains in wind farms.
Cited articles
Al, M., Fontanella, A., van der Hoek, D., Liu, Y., Belloli, M., and van
Wingerden, J. W.: Feedforward control for wave disturbance rejection on
floating offshore wind turbines, J. Phys. Conf. Ser., 1618,
022048, https://doi.org/10.1088/1742-6596/1618/2/022048, 2020. a, b
Azcona, J., Vittori, F., Paulsen, U., Savenije, F., Kapogiannis, G., Karvelas,
X., Manolas, D., Voutsinas, S., Amann, F., Faerron Guzman, R., and Lemmer,
F.: Design Solutions for 10MW Floating Offshore Wind Turbines, Deliverable
4.37, INNWIND.EU, 2017. a
Bak, C., Zahle, F., Bitsche, R., Taeseong, K., Yde, A., Henriksen, L. C., Hansen, M. H., Jose, J. P. A. A., Gaunaa, M., and Natarajan, A.: The DTU 10-MW Reference Wind Turbine, DTU Wind Energy Report, Danish Wind Power Research 2013, 27–28 May 2013. a
Bayati, I., Belloli, M., Bernini, L., and Zasso, A.: A formulation for the unsteady aerodynamics of floating wind turbines, with focus on the global system dynamics, in: Proceedings of ASME 2017, 36th International Conference on Offshore Mechanics and Arctic Engineering – OMAE, ASME, Trondheim, Norway, 1–10, https://doi.org/10.1115/OMAE2017-61925, 2017. a
Dunne, F., Pao, L., Wright, A., Jonkman, B., and Kelley, N.: Combining Standard
Feedback Controllers with Feedforward Blade Pitch Control for Load Mitigation
in Wind Turbines, 4 January 2010–7 January 2010,
Orlando, Florida, https://doi.org/10.2514/6.2010-250, 2010. a
Dunne, F., Pao, L., Wright, A., Jonkman, B., Kelley, N., and Simley, E.: Adding Feedforward Blade Pitch Control for Load Mitigation in Wind Turbines: Non-Causal Series Expansion, Preview Control, and Optimized FIR Filter Methods, AIAA 2011-819, 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Orlando, Florida, https://doi.org/10.2514/6.2011-819, 2011. a
Dunne, F., Schlipf, D., Pao, L., Wright, A., Jonkman, B., Kelley, N., and Simley, E.: Comparison of Two Independent Lidar-Based Pitch Control Designs, AIAA 2012-1151, 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, Nashville, Tennessee, https://doi.org/10.2514/6.2012-1151, 2012. a
Fischer, B.: Reducing rotor speed variations of floating wind turbines by
compensation of non-minimum phase zeros, IET Renew. Power Gen., 7,
413–419, https://doi.org/10.1049/iet-rpg.2012.0263, 2013. a
Fleming, P., Peiffer, A., and Schlipf, D.: Wind Turbine Controller to Mitigate Structural Loads on a Floating Wind Turbine Platform, in: Proceedings of ASME 2016, 35th International Conference on Offshore Mechanics and Arctic Engineering – OMAE, ASME, Busan, South Korea, 1–11, https://doi.org/10.1115/OMAE2016-54536, 2016. a
Fontanella, A., Bayati, I., and Belloli, M.: Linear coupled model for floating
wind turbine control, Wind Engineering, 42, 115–127,
https://doi.org/10.1177/0309524X18756970, 2018. a
Fontanella, A., Al, M., van der Hoek, D., Liu, Y., van Wingerden, J., and
Belloli, M.: A control-oriented wave-excited linear model for offshore
floating wind turbines, J. Phys. Conf. Ser., 1618,
022 038, https://doi.org/10.1088/1742-6596/1618/2/022038, 2020. a, b
Gonzalez, P., Sanchez, G., Llana, A., Gonzalez, G., Berque, J., and Aguirre,
G.: LIFES50+ Deliverable1.1 Oceanographic and meteorological conditions for
the design, available at:
https://lifes50plus.eu/wp-content/uploads/2015/12/GA_640741_LIFES50-_D1.1.pdf (last access: 1 June 2019),
2015. a
Hansen, M. H. and Henriksen, L. C.: Basic DTU Wind Energy controller, DTU Wind Energy Report, available at: https://orbit.dtu.dk/en/publications/basic-dtu-wind-energy-controller (last access: 27 April 2017), 2013. a
Harris, M., Hand, M., and A., W.: Lidar for Turbine Control. Technical Report
NREL/EL-500-39154, available at:
https://www.nrel.gov/docs/fy06osti/39154.pdf (last access: 1 January 2021), 2006. a
Hayman, G. and Buhl, M.: Mlife users guide for version 1.00,
available at: http://wind.nrel.gov/designcodes/postprocessors/MLife/ (last access: 1 January 2021), 2012. a
IEC: IEC 61400-1 Wind Turbines – Part 1: Design Requirements, 3rd ed.,
International Electrotechnical Commission, Geneva, August, 2005. a
Janssen, R., Jansen, H., and Van Wingerden, J.-W.: A novel strategy for the identification of radiation force models, in: Proceedings of ASME 33rd International Conference on Offshore Mechanics and Arctic Engineering – OMAE, ASME, San Francisco, California, 1–10, https://doi.org/10.1115/OMAE2014-23504, 2014. a
Jonkman, J. M. and Marshall, L. B.: FAST User's Guide. Technical Report
NREL/EL-500-38230, available at:
https://nwtc.nrel.gov/system/files/FAST.pdf (last access: 1 April 2021), 2005. a
Jonkman, J. M., Wright, A. D., Hayman, G. J., and Robertson, A. N.: Full-System Linearization for Floating Offshore Wind Turbines in OpenFAST, in: Proceedings of ASME 1st International Offshore Wind Technical Conference – IOWTC, ASME, San Francisco, California, 1–10, https://doi.org/10.1115/IOWTC2018-1025, 2018. a
Kelley, N. and Jonkman, B.: Overview of the TurbSim Stochastic Inflow
Turbulence Simulator, Version 1.21 (Revised February 1, 2007), national
Renewable Energy Laboratory, NREL/TP-500-41137, Golden, CO,
available at: https://nwtc.nrel.gov/system/files/FAST.pdf (last access: 1 October 2019), 2007. a
Lackner, M. A.: Controlling Platform Motions and Reducing Blade Loads for
Floating Wind Turbines, Wind Engineering, 33, 541–553,
https://doi.org/10.1260/0309-524X.33.6.541, 2009. a
Laks, J., Pao, L., Wright, A., Kelley, N., and Jonkman, B.: Blade Pitch Control with Preview Wind Measurements, AIAA 2010-251, 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, Florida, https://doi.org/10.2514/6.2010-251, 2010. a
Larsen, T. and Hanson, T.: A method to avoid negative damped low frequent tower vibrations for a floating, pitch controlled wind turbines, J. Phys. Conf. Ser., 75, 012073, https://doi.org/10.1088/1742-6596/75/1/012073, 2007. a
Lemmer, F., Schlipf, D., and Cheng, P. W.: Control design methods for floating
wind turbines for optimal disturbance rejection, J. Phys.
Conf. Ser., 753, 092006, https://doi.org/10.1088/1742-6596/753/9/092006, 2016. a, b
Lemmer, F., Raach, S., David, S., Faerron-Guzmá, R., and Cheng, P. W.: FAST
model of the SWE-TripleSpar floating wind turbine platform for the DTU 10MW
reference wind turbine, https://doi.org/10.18419/darus-514, 2020a. a
Lemmer, F., Yu, W., Luhmann, B., Schlipf, D., and Cheng, P. W.: Multibody
modeling for concept-level floating offshore wind turbine design, Multibody Syst. Dyn., 49, 203–236, https://doi.org/10.1007/s11044-020-09729-x,
2020b. a
Lemmer, F., Yu, W., Schlipf, D., and Cheng, P. W.: Robust gain scheduling
baseline controller for floating offshore wind turbines, Wind Energy, 23,
17–30, https://doi.org/10.1002/we.2408, 2020c. a
Levine, W.: The Control Handbook, 1st Edition, CRC Press, Boca Raton, Florida, 1996. a
Ma, Y., Sclavounos, P. D., Cross-Whiter, J., and Arora, D.: Wave forecast and
its application to the optimal control of offshore floating wind turbine for
load mitigation, Renew. Energ., 128, 163–176,
https://doi.org/10.1016/j.renene.2018.05.059, 2018. a
Mancini, S., Boorsma, K., Caboni, M., Cormier, M., Lutz, T., Schito, P., and Zasso, A.: Characterization of the unsteady aerodynamic response of a floating offshore wind turbine to surge motion, Wind Energ. Sci., 5, 1713–1730, https://doi.org/10.5194/wes-5-1713-2020, 2020. a
Naaijen, P. and Wijaya, A.: Phase resolved wave prediction from synthetic
radar images, in: Proceedings of ASME 2014, 33rd International Conference on
Offshore Mechanics and Arctic Engineering – OMAE, ASME, United
States, 1–9, https://doi.org/10.1115/OMAE2014-23470, 2014. a
Nejad, A. R., Bachynski, E. E., Kvittem, M. I., Luan, C., Gao, Z., and Moan,
T.: Stochastic dynamic load effect and fatigue damage analysis of drivetrains
in land-based and TLP, spar and semi-submersible floating wind turbines,
Mar. Struct., 42, 137–153,
https://doi.org/10.1016/j.marstruc.2015.03.006, 2015. a
Newman, J. N.: Second-order, Slowly-varying Forces on Vessels in Irregular Waves. International Symposium on Dynamics of Marine Vehicles and Structures in Waves, University College, London, 1974. a
Perez, T. and Fossen, T.: A Matlab Toolbox for Parametric Identification of
Radiation-Force Models of Ships and Offshore Structures, Model.
Ident. Control, 30, 1–15, https://doi.org/10.4173/mic.2009.1.1, 2009. a
Raach, S., Schlipf, D., Sandner, F., Matha, D., and Cheng, P. W.:
Nonlinear model predictive control of floating wind turbines with individual
pitch control, in: 2014 American Control Conference, 4434–4439,
https://doi.org/10.1109/ACC.2014.6858718, 2014. a
Reichert, K., Dannenberg, J., and van den Boom, H.: X-Band radar derived
sea surface elevation maps as input to ship motion forecasting, in: OCEANS'10
IEEE SYDNEY, 1–7, https://doi.org/10.1109/OCEANSSYD.2010.5603968, 2010. a
Roald, L., Jonkman, J., Robertson, A., and Chokani, N.: The Effect of
Second-order Hydrodynamics on Floating Offshore Wind Turbines, Energy
Procedia,
DeepWind'2013 – Selected papers from 10th Deep Sea Offshore Wind R&D
Conference, Trondheim, Norway, 24–25 January 2013, 35, 253–264, https://doi.org/10.1016/j.egypro.2013.07.178, 2013. a
Schlipf, D., Schlipf, D. J., and Kühn, M.: Nonlinear model predictive control
of wind turbines using LIDAR, Wind Energy, 16, 1107–1129,
https://doi.org/10.1002/we.1533, 2013. a
Schlipf, D., Simley, E., Lemmer, F., Pao, L., and Cheng, P. W.: Collective
Pitch Feedforward Control of Floating Wind Turbines Using Lidar, Journal of
Ocean and Wind Energy, 2, 223–230, https://doi.org/10.17736/jowe.2015.arr04, 2015. a
Skogestad, S. and Postlethwaite, I.: Multivariable feedback control: Analysis and Design, 2n Edition, John Wiley & Sons, Hoboken, New Jersey, 2005. a
van der Veen, G., Couchman, I., and Bowyer, R.: Control of floating wind
turbines, in: 2012 American Control Conference (ACC), 3148–3153,
https://doi.org/10.1109/ACC.2012.6315120, 2012. a
WAMIT: WAMIT User Manual – Version 7, available at: https://www.wamit.com/manual.htm, 3 July 2020.
a
Wise, A. S. and Bachynski, E. E.: Wake meandering effects on floating wind
turbines, Wind Energy, 23, 1266–1285, https://doi.org/10.1002/we.2485, 2020. a
Ziemer, F. and Dittmer, J.: A system to monitor ocean wave fields, in:
Proceedings of OCEANS'94, 2, II/28–II/31,
https://doi.org/10.1109/OCEANS.1994.364010, 1994. a
Short summary
Floating wind is a key technology to harvest the abundant wind energy resource of deep waters. This research introduces a new way of controlling the wind turbine to better deal with the action of waves. The turbine is made aware of the incoming waves, and the information is exploited to enhance power production.
Floating wind is a key technology to harvest the abundant wind energy resource of deep waters....
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