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Maud Moens
Post-doctoral researcher
Dr. at UCLouvain on September 19, 2018
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is working on the development of a numerical tool for unsteady wind farm simulations. This tool is based on Large-Eddy simulation coupled to Actuator Disk approaches for modelling the wind turbines. The disk models are here improved with realistic controllers, allowing the rotors tor react to wind variations. This tool will offer a convenient framework for studying and elaborating control strategies to decrease problems linked to a grouping of rotors in a large wind farm, problems mainly due the wind turbine wake and its interactions with generators and wakes lying downstream, leading to a decrease in power production and to higher-than-predicted failure rates for some machines. Maud Moens is funded by grants from ENGIE and FRIA.

Research group(s): TFL

Recent publications

See complete list of publications

Journal Articles


1. Coquelet, Marion; Bricteux, Laurent; Moens, Maud; Chatelain, Philippe. A reinforcement-learning approach for individual pitch control. In: Wind Energy, (2022). doi:10.1002/we.2734. http://hdl.handle.net/2078.1/261138

2. Lejeune, Maxime; Moens, Maud; Chatelain, Philippe. A meandering-capturing wake model coupled to rotor-based flow-sensing for operational wind farm flow prediction. In: Frontiers in Energy Research, (2022). doi:10.3389/fenrg.2022.884068 (Soumis). http://hdl.handle.net/2078.1/262173

3. Moens, Maud; Chatelain, Philippe. Correlations Between Wake Phenomena and Fatigue Loads Within Large Wind Farms: A Large-Eddy Simulation Study. In: Frontiers in Energy Research, Vol. 10, p. 881532 (2022). doi:10.3389/fenrg.2022.881532. http://hdl.handle.net/2078.1/261929

4. Moens, Maud; Duponcheel, Matthieu; Winckelmans, Grégoire; Chatelain, Philippe. An Actuator Disk method with tip-loss correction based on local effective upstream velocities. In: Wind Energy, Vol. 21, no. 9, p. 766-782. doi:10.1002/we.2192. http://hdl.handle.net/2078.1/195476


Conference Papers


1. Coquelet, Marion; Moens, Maud; Bricteux, Laurent; Crismer, Jean-Baptiste; Chatelain, Philippe. Performance assessment of wake mitigation strategies. In: Journal of Physics: Conference Series. Vol. 2265, p. 032078 (2022). IOP Publishing, 2022 xxx. doi:10.1088/1742-6596/2265/3/032078. http://hdl.handle.net/2078.1/261154

2. Coquelet, Marion; Lejeune, Maxime; Moens, Maud; Riehl, James; Bricteux, Laurent; Chatelain, Philippe. Tackling control and modeling challenges in wind energy with data-driven tools. 2022 xxx. http://hdl.handle.net/2078.1/262231

3. Lejeune, Maxime; Moens, Maud; Chatelain, Philippe. Extension and validation of an operational dynamic wake model to yawed configurations. In: The Science of Making Torque from Wind (TORQUE 2022) 01/06/2022 - 03/06/2022 Delft, Netherlands. Vol. 2265, no.2, p. 022018 (2022). IOP Publishing Ltd: Bristol BS1 6HG, United Kingdom, 2022 xxx. doi:https://doi.org/10.1088/1742-6596/2265/2/022018. http://hdl.handle.net/2078.1/262170

4. Moens, Maud; Coquelet, Marion; Trigaux, François; Chatelain, Philippe. Handling Individual Pitch Control within an Actuator Disk framework: verification against the Actuator Line method and application to wake interaction problems. In: Journal of Physics: Conference Series. Vol. 2265, no.-, p. 022053 (2022). IOP Publishing, 2022 xxx. doi:10.1088/1742-6596/2265/2/022053. http://hdl.handle.net/2078.1/261922

5. Trigaux, François; Moens, Maud; Chatelain, Philippe; Winckelmans, Grégoire. Tilted wind turbines in farm configuration for improved farm efficiency. In: Journal of Physics: Conference Series. Vol. 1618, no.062035, p. 1 (2020). 2020 xxx. doi:10.1088/1742-6596/1618/6/062035. http://hdl.handle.net/2078.1/244310

6. Lejeune, Maxime; Moens, Maud; Coquelet, Marion; Coudou, Nicolas; Chatelain, Philippe. Development of an online wind turbine wake model. 2020 xxx. http://hdl.handle.net/2078.1/228689

7. Lejeune, Maxime; Moens, Maud; Coquelet, Marion; Coudou, Nicolas; Chatelain, Philippe. Data assimilation for the prediction of wake trajectories within wind farms. In: Journal of Physics: Conference Series. Vol. 1618, no.6, p. 062055 (2020). IOP Publishing Ltd, 2020 xxx. doi:10.1088/1742-6596/1618/6/062055. http://hdl.handle.net/2078.1/238249

8. Moens, Maud; Coudou, Nicolas; Chatelain, Philippe. A numerical study of correlations between wake meandering and loads within a wind farm. In: Journal of Physics: Conference Series Paper. Vol. 1256, no.1, p. 012012 (2019). IOP Publishing, 2019 xxx. doi:10.1088/1742-6596/1256/1/012012. http://hdl.handle.net/2078.1/226752

9. Riehl, James; Moens, Maud; Chatelain, Philippe. Coordinated Learning for Wind Farm Optimization. 2019 xxx. http://hdl.handle.net/2078.1/226753

10. Coudou, Nicolas; Moens, Maud; Van Beek, Jeroen; Bricteux, Laurent; Chatelain, Philippe. Effects of the fidelity level of numerical simulations on the wake meandering phenomenon. In: Journal of Physics : Conference series. Vol. 1256, p. 012010 (2019). 2019 xxx. http://hdl.handle.net/2078.1/256714


Dissertations


1. Moens, Maud. Large eddy simulation of wind farm flows : improved Actuator Disk model and investigations of wake phenomena, prom. : Chatelain, Philippe ; Winckelmans, Grégoire, 19/09/2018. http://hdl.handle.net/2078.1/207779