Project Reports

• Clifton, A. Clive, P. Gottschall, J., Schlipf, D, Simley, E., Simmons, L., Stein, D., Trabucchi, D. Vasiljevic, N. u. Würth, I.: IEA Wind Task 32: Wind Lidar Identifying and Mitigating Barriers to the Adoption of Wind Lidar, doi.org/10.3390/rs10030406

Reviewed Articles and Books

• Bromm, M., Rott, A., Beck, H., Vollmer, L., Steinfeld, G. and Kühn, M.: Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes. Wind Energy. 2018;1–18, doi.org/10.1002/we.2210.
• Kidambi Sekar, A. P.; van Dooren, M. F.; Mikkelsen, T.; Sjöholm, M.; Astrup, P. and Kühn, M.: Evaluation of the LINCOM Wind Field Reconstruction Method with Simulations and Full-Scale Measurements, Journal of Physics: Conference Series 1037 (2018) 052008, doi.org/10.1088/1742-6596/1037/5/052008.
• Berger, F. and Kühn, M.: Experimental investigation of dynamic inflow effects with a scaled turbine in a controlled wind tunnel environment, Journal of Physics: Conference Series, 1037 (2018), doi:10.1088/1742-6596/1037/5/052017.
• Ungurán, R., Petrović, V., Pao, L. Y. and Kühn, M.: Performance evaluation of a blade-mounted LiDAR with dynamic versus fixed parameters through feedback-feedforward individual pitch, and trailing edge flap control, Journal of Physics: Conference Series, 1037 (2018), doi.org/10.1088/1742-6596/1037/3/032004
• Vali, M., Petrović, V., Steinfeld, G., Pao, L.Y. and Kühn, M.: Large-eddy simulation study of wind farm active power control with a coordinated load distribution, Journal of Physics: Conference Series, 1037 (2018), doi:10.1088/1742-6596/1037/3/032018.
• Boersma, S., Doekemeijer, B., Vali. M., Meyers, J. and van Wingerden, J.-W.: A control-oriented wind farm model: WFSim, Wind Energy Science, 3, 75-95, 2018, doi:10.5194/wes-3-75-2018.
• Valldecabres, L., Peña, A., Courtney, M., von Bremen, L. and Kühn, M.: Very short-term forecast of near-coastal flow using scanning lidars, Wind Energy Science, 3 (2018), 313-327, doi.org/doi:10.5194/wes-3-313-2018.
• Valldecabres, L., Nygaard, N. G., von Bremen, L. and Kühn, M.: Very short-term probabilistic forecasting of wind power based on dual-Doppler radar measurements in the North Sea. Journal of Physics: Conference Series 1037 (2018), doi.org/doi:10.1088/1742-6596/1037/5/052010.
• Mittelmeier, N. and Kühn, M.: Determination of optimal wind turbine alignment into the wind and detection of alignment changes with SCADA data, Wind Energy Science, 3 (2018), 395–408, doi.org/doi:10.5194/wes-3-395-2018.
• Petrović, V., Schottler, J., Neunaber, I., Hölling, M. and Kühn, M.: Wind tunnel validation of a closed loop active power control for wind farms, Journal of Physics: Conference Series 1037 (2018), https://doi.org/doi:10.1088/1742-6596/1037/3/032020.

Conference Proceedings (Paper)

• Vali, M., Petrovic, V., Boersma, S., van Wingerden, J.-W., Pao, L.Y. and Kühn, M.: Model predictive active power control of waked wind farms, American Control Conference, pp. 707-714, 2018, [Paper].

Conference and seminar contributions (Talk and Poster)

• Ungurán, R., Petrović., V, Pao L. Y. and Kühn M.: Performance evaluation of a blade-mounted LiDAR with dynamic versus fixed parameters through feedback-feedforward individual pitch, and trailing edge flap control, The Science of Making Torque from Wind 2018, Milano, Italy, [Talk].
• Valldecabres, L., Nygaard, N. G., von Bremen, L. and Kühn, M.: Very short-term probabilistic forecasting of wind power based on dual-Doppler radar measurements in the North Sea. The Science of Making Torque from Wind 2018, Milan, Italy, [Talk].
• Valldecabres, L., Steinfeld, G., von Bremen, L. and Kühn, M.:, Very short-term wind power forecasting using remote sensing data: Experiments with a Lidar simulator. 98th AMS meeting, Austin, Texas, 2018. Oral presentation. 3rd prize Best Student Oral Presentation.
• Valldecabres L. and M Kühn: Very short-term forecasting of offshore wind farms using remote sensing measurements AWESOME Workshop (final ESRs event). Milan, Italy. 19 June 2018, [Talk].
• Valldecabres, L. Nygaard, N. G., von Bremen, L. and Kühn, M.: Very short-term probabilistic forecasting of wind power based on dual-Doppler radar measurements in the North Sea. IEA Wind Task32&Task36 Workshop on Very short-term forecasting of wind power. DTU, Riso campus. Denmark. 12-13 June 2018
• van Dooren, M. F.; Kidambi Sekar, A. P., Mikkelsen, T., Sjöholm, M., Astrup, P. and Kühn, M., Evaluation of the LINCOM Wind Field Reconstruction Method with Simulations and Full-Scale Measurements, TORQUE 2018, Milan, Italy, 2018, [Talk].
• Berger, F., Kröger, L., Onnen, D., Petrović V. and Kühn, M.: Scaled wind turbine setup in a turbulent wind tunnel, EERA DeepWind, Trondheim, Norway, 2018, [Talk].
• Berger, F. and Kühn, M.: Experimental investigation of dynamic inflow effects with a scaled turbine in a controlled wind tunnel environment, The Science of Making Torque from Wind, Milan, Italy, 2018, [Talk].
• Petrović, V., Schottler, J., Neunaber, I., Hölling, M. and Kühn, M.: Wind tunnel validation of a closed loop active power control for wind farms, The Science of Making Torque from Wind, Milan, Italy, 2018, [Talk].
• Vali, M., Petrovic, V., Boersma, S., van Wingerden, J.-W., Pao, L.Y. and Kühn, M.: Model predictive active power control of waked wind farms, American Control Conference, ACC 2018, [Talk].
• Petrović, V.: Wind farm control concepts for compensation of wake induced power losses and structural loads, Physikalisches Kolloquium des Instituts für Physik, Carl von Ossietzky Universität Oldenburg, 2018, [Talk].
• Vali, M., Petrović, V., Steinfeld, G., Pao, L.Y. and Kühn, M.: Large-eddy simulation study of wind farm active power control with a coordinated load distribution, The Science of Making Torque from Wind, Milan, Italy, 2018, [Talk].