Publikationen 2022


Universität Oldenburg
Institut für Physik - ForWind
Prof. Dr. Martin Kühn
Küpkersweg 70 
D-26129 Oldenburg

Tel: +49 (0)441 / 798-5061
Fax: +49 (0)441 / 798-5099

Publikationen 2022

Publikationen 2022


  • Berger, Frederik: Wind tunnel experiments with a model turbine: Dynamic inflow investigation, Universität Oldenburg, 2022.
  • Theuer, Frauke: Minute-scale power forecasts of offshore wind farms based on long-range lidar measurements and turbine operational data, Universität Oldenburg, 2022.

Referierte Zeitschriften

  • Berger, F., Neuhaus, L., Onnen, D., Hölling, M., Schepers, G., and Kühn, M.: Experimental analysis of the dynamic inflow effect due to coherent gusts, Wind Energ. Sci., 7, 1827–1846, doi: 10.5194/wes-7-1827-2022, 2022.
  • Göçmen, T., Campagnolo, F., Duc, T., Eguinoa, I., Andersen, S. J., Petrović, V., Imširović, L., Braunbehrens, R., Liew, J., Baungaard, M., van der Laan, M. P., Qian, G., Aparicio-Sanchez, M., González-Lope, R., Dighe, V. V., Becker, M., van den Broek, M. J., van Wingerden, J.-W., Stock, A., Cole, M., Ruisi, R., Bossanyi, E., Requate, N., Strnad, S., Schmidt, J., Vollmer, L., Sood, I., and Meyers, J.: FarmConners wind farm flow control benchmark – Part 1: Blind test results, Wind Energ. Sci., 7, 1791–1825, doi: 10.5194/wes-7-1791-2022, 2022.
  • Hulsman, P., Wosnik, M., Petrović, V., Hölling, M., and Kühn, M.: Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow, Wind Energ. Sci., 7, 237–257, doi: 10.5194/wes-7-237-2022, 2022.
  • Kidambi Sekar, A. P., van Dooren, M. F., Rott, A., and Kühn, M.: Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition, Remote Sens. 14(11), 2681doi: 10.3390/rs14112681, 2022.
  • Kölle, K., Göçmen, T., Garcia-Rosa, P. B., Petrović, V., Eguinoa, I., Vrana, T. K., Long, Q., Pettas, V., Anand, A., Barlas, T. K., Cutululis, N., Manjock, A., Tande, J. O., Ruisi, R., and Bossanyi, E.: Towards integrated wind farm control: interfacing farm flow and power plant controls Advanced Control for Applications, Adv Control Appl20224( 2):e105. doi:10.1002/adc2.105, 2022.
  • Krüger, S., Steinfeld, G., Kraft, M., and Lukassen, L. J.: Validation of a coupled atmospheric–aeroelastic model system for wind turbine power and load calculations, Wind Energ. Sci., 7, 323–344, doi: 10.5194/wes-7-323-2022, 2022.
  • Nietiedt, S., Wester T. T. B., Langidis, A., Kröger, L., Rofallski, R., Göring, M., Kühn, M., Gülker, G., and Thomas Luhmann: A Wind Tunnel Setup for Fluid-Structure Interaction Measurements Using Optical Methods, Sensors, 22, 5014, doi: 10.3390/s22135014, 2022.
  • Pöschke, F., Petrović, V., Berger, F., Neuhaus, L., Hölling, M., Kühn, M., and Schulte, H.: Model-based wind turbine control design with power tracking capability: A wind-tunnel validation, Control Engineering Practice, 120, 105014, doi: 10.1016/j.conengprac.2021.105014, 2022.
  • Rott, J. Schneemann, F. Theuer, J.J. Trujillo Quintero, and M. Kühn: Alignment of scanning lidars in offshore wind farms Wind Energ. Sci., 7, 283–297, doi: 10.5194/wes-7-283-2022, 2022.
  • Schulz-Stellenfleth, J., Emeis, S., Dörenkämper, M., Bange, J., Canadillas, B., Neumann, T., Schneemann, J., Weber, I., zum Berge, K., Platis, A., Bughsin, D., Gottschall, J., Vollmer, L., Rausch, T., Barekzai, M., Hammel, J., Steinfeld, G., and Lampert, A.: Coastal impacts on offshore wind farms – a review focussing on the German Bight area, Meteorol. Z. (Contrib. Atm. Sci.), doi: 10.1127/metz/2022/1109, 2022.
  • Sengers, B. A. M., Zech, M., Jacobs, P., Steinfeld, G., Kühn, M.: A physically interpretable data-driven surrogate model for wake steering, Wind Energ. Sci., 7, 1455–1470, doi: 10.5194/wes-7-1455-2022, 2022.
  • Sinner, M., Petrović, V., Langidis, A., Neuhaus, L., Hölling, M., Kühn, M., and Pao, L. Y.: Experimental Testing of a Preview-Enabled Model Predictive Controller for Blade Pitch Control of Wind Turbines in IEEE Transactions on Control Systems Technology, vol. 30, no. 2, pp. 583-597, doi: 10.1109/TCST.2021.3070342, 2022.
  • Theuer, F., Rott, A., Schneemann, J., von Bremen, L., and Kühn, M.: Observer-based power forecast of individual and aggregated offshore wind turbines, Wind Energ. Sci., 7, 2099–2116, doi: 10.5194/wes-7-2099-2022, 2022.
  • van Dooren, M. F., Kidambi Sekar, A. P., Neuhaus, L., Mikkelsen, T., Hölling, M., and Kühn, M.: Modelling the spectral shape of continuous-wave lidar measurements in a turbulent wind tunnel, Atmos. Meas. Tech., 15, 1355–1372, doi: 10.5194/amt-15-1355-2022, 2022.

Tagungs- und Konferenzbeiträge (Paper)

  • Anantharaman, A., Centurelli, G., Schneemann, J., Bot, E. and Kühn, M.: Comparison of near wind farm wake measurements from scanning Lidar with engineering models, J. Phys.: Conf. Ser. 2265 022034, doi: 10.1088/1742-6596/2265/2/022034, 2022.
  • Hulsman, P., Sucameli, C., Petrović, V., Rott, A., Gerds, A., and Kühn, M.: Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions, J. Phys.: Conf. Ser. 2265 032074, doi: 10.1088/1742-6596/2265/3/032074, 2022.
  • Kidambi Sekar, A., P., van Dooren, M. F., and Kühn, M.: Overcoming Blade Interference: A Gappy-POD Data Reconstruction Method for Nacelle-Mounted Lidar Measurements, J. Phys.: Conf. Ser. 2265 022078, doi: 10.1088/1742-6596/2265/2/022078, 2022.
  • Langidis, A., Nietiedt, S., Berger, F., Kröger, L., Petrović, V., Wester, T. T. B., Gülker, G., Göring, M., Rofallski, R., Luhmann, T. and Kühn, M.: Design and evaluation of rotor blades for Fluid Structure Interaction studies in wind tunnel conditions, J. Phys.: Conf. Ser. 2265 022079, doi: 10.1088/1742-6596/2265/2/022079, 2022.
  • Onnen, D., Larsen, G. C., Lio, W. H., Liew, J. Y, Kühn, M. and Petrović, V.: Dynamic wake tracking based on wind turbine rotor loads and Kalman filtering, J. Phys.: Conf. Ser. 2265 022024, doi: 10.1088/1742-6596/2265/2/022024, 2022.
  • Ortensi, M., Theuer, F., and Kühn, M.: Analysis of the effects of scanning trajectory parameters on minute-scale lidar forecasting, J. Phys.: Conf. Ser. 2265 022002, doi: 10.1088/1742-6596/2265/2/022002, 2022.
  • Ribnitzky, D., Berger, F., and Kühn, M.: Innovative aerodynamic rotor concept for demand-oriented power feed-in of offshore wind turbines, J. Phys.: Conf. Ser. 2265 032017, doi: 10.1088/1742-6596/2265/3/032017, 2022.
  • Theuer, F., Schneemann, J., van Dooren, M. F., von Bremen, L. and Kühn, M.: Hybrid use of an observer-based minute-scale power forecast and persistence, J. Phys.: Conf. Ser. 2265 022047, doi: 10.1088/1742-6596/2265/2/022047, 2022.
  • van Dooren, M. F., and Kühn, M.: Evaluation of a Wind Field Parametrisation Methodology for Lidar- Measured Wind Turbine Inflow, J. Phys.: Conf. Ser. 2265 022068, doi: 10.1088/1742-6596/2265/2/022068, 2022.
  • Zúñiga Inestroza, M. A., Mattuella, J. M., Wittwer, A. R. and Loredo-Souza, A. M.: Wind tunnel experiments for investigating wake effects in atmospheric boundary layers using a simplified miniature model wind turbine, J. Phys.: Conf. Ser. 2265 022083, doi: 10.1088/1742-6596/2265/2/022083, 2022.

Tagungs- und Seminarbeiträge (Vorträge und Poster)

  • Theuer, F., Rott, A., Schneemann, J., von Bremen, L., and Kühn, M.: The prediction of ramp events by means of an observer-based power forecast utilizing lidar and SCADA data, Wind Europe Technology Workshop 2022, Brussels, Belgium, June 2022. [Talk]
  • Theuer, F., Schneemann, J., Ortensi, M., and Kühn, M.: WindRamp: Observer-based minute-scale power forecasts at the offshore wind farm Nordergründe – Measurement campaign and forecasting methodology, RAVE Workshop 2022, online event, February 2022. [Talk]

Projektberichte, Daten und Software

(Stand: 23.11.2023)  | 
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