Project Details
Projekt Print View

Efficient numerical investigation of flow control on wind turbine rotors under realistic conditions

Subject Area Fluid Mechanics
Term from 2012 to 2020
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 218654480
 
Final Report Year 2020

Final Report Abstract

A computationally efficient aeroelastic simulation tool for wind turbines has been developed. The aerodynamic method, employing a free wake formulation, is one-step above all other medium order fidelity tools that are currently used for wind turbine design and research. To make the application of the aforementioned aerodynamic method feasible for wind turbine design load calculations a main target was the reduction of the computational cost through parallelization and clustering techniques. Furthermore, compared to classical BEM methods, the free wake formulation allows to gain insight into the flow fields surrounding wind turbines which enables their application to a large range of different applications that go beyond the simple performance and load prediction of rotors. This functionality has been demonstrated by performing simulations of wake interaction and rotor wake stability. The functionality of the developed simulation tool was extended with models that account for unsteady aerodynamics and flap operation, actuation. Successively the simulation tool has been applied to perform precursor simulations for wind tunnel tests and CFD simulations. In addition, a large number of numerical validation studies have been carried out to prove the accuracy of the developed simulation tool for the prediction of both: on blade rotor performance and wake velocity distributions. The resulting simulation tool is freely distributed under an open-source license to facilitate wind energy research worldwide and to date has been downloaded more than 100,000 times.

Publications

  • (2015). Implementation, Optimization, and Validation of a Nonlinear Lifting Line-Free Vortex Wake Module Within the Wind Turbine Simulation Code QBlade. Journal of Engineering for Gas Turbines and Power, 138(7), 072601
    Marten, D., Lennie, M., Pechlivanoglou, G., Nayeri, C. N., & Paschereit, C. O.
    (See online at https://doi.org/10.1115/1.4031872)
  • (2016). Aeroelastic simulation of multi-MW wind turbines using a free vortex model coupled to a geometrically exact beam model. Journal of Physics: Conference Series, 753(8)
    Saverin, J., Peukert, J., Marten, D., Pechlivanoglou, G., Paschereit, C. O., & Greenblatt, D.
    (See online at https://doi.org/10.1088/1742-6596/753/8/082015)
  • (2016). An Unsteady Aerodynamics Model for Lifting Line Free Vortex Wake Simulations of HAWT and VAWT in QBlade. Proceedings of ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. Seoul, South Korea
    Wendler, J., Marten, D., Pechlivanoglou, G., Nayeri, C. N., & Paschereit, C. O.
    (See online at https://doi.org/10.1115/GT2016-57184)
  • (2016). Modern methods for investigating the stability of a pitching floating platform wind turbine. Wind Energy Science, 753(8), 671–683
    Lennie, M., Marten, D., Pechlivanoglou, G., Nayeri, C. N., & Paschereit, C. O.
    (See online at https://doi.org/10.1088/1742-6596/753/8/082012)
  • (2017). Coupling of an Unsteady Lifting Line Free Vortex Wake Code to the Aeroelastic HAWT Simulation Suite FAST. Proceedings of ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition, 1–10
    Saverin, J., Marten, D., Pechlivanoglou, G., Nayeri, C. N., & Paschereit, C. O.
    (See online at https://doi.org/10.1115/GT2016-56290)
  • (2018). About the suitability of different numerical methods to reproduce model wind turbine measurements in a wind tunnel with a high blockage ratio. Wind Energy Science, 3(1), 439–460
    Klein, A. C., Bartholomay, S., Marten, D., Lutz, T., Pechlivanoglou, G., Nayeri, C. N., Krämer, E.
    (See online at https://doi.org/10.5194/wes-3-439-2018)
  • (2018). Advanced Medium-Order Modelling of a Wind Turbine Wake with a Vortex Particle Method Integrated within a Multilevel Code. Journal of Physics: Conference Series, 1037(6)
    Saverin, J., Marten, D., Pechlivanoglou, G., & Oliver Paschereit, C.
    (See online at https://doi.org/10.1088/1742-6596/1037/6/062029)
  • (2018). Implementation of the Multi-Level Multi-Integration Cluster Method to the Treatment of Vortex Particle Interactions for Fast Wind Turbine Wake Simulations. ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition
    Saverin, J., Marten, D., Pechlivanoglou, G., Paschereit, C. O., & Garrel, A. van
    (See online at https://doi.org/10.1115/GT2018-76554)
  • (2018). Investigations on the Fatigue Load Reduction Potential of Advanced Control Strategies for Multi-MW Wind Turbines Using a Free Vortex Wake Model. Proceedings of ASME Turbo Expo 2018 Turbomachinery Technical Conference and Exposition, 1–11
    Perez-Becker, S., Saverin, J., Marten, D., Pechlivanoglou, G. & Paschereit, C. O.
    (See online at https://doi.org/10.1115/GT2018-76078)
  • (2018). Numerical and Experimental Investigation of Trailing Edge Flap Performance on a Model Wind Turbine. AIAA SciTech Forum, 2018 Wind Energy Symposium, (January), 1–14
    Marten, D., Bartholomay, S., Pechlivanoglou, G., Nayeri, C., Paschereit, C. O., Fischer, A., & Lutz, T.
    (See online at https://doi.org/10.2514/6.2018-1246)
  • (2019). Predicting Wind Turbine Wake Breakdown Using a Free Vortex Wake Code. AIAA Scitech 2019, (January), 1–16
    Marten, D., Paschereit, C. O., Huang, X., Meinke, M. H., Schroeder, W., Mueller, J., & Oberleithner, K.
    (See online at https://doi.org/10.2514/6.2019-2080)
  • Predicting wind turbine wake breakdown using a free vortex wake code, AIAA Paper 2019- 2080, 2019
    D. Marten, C. O. Paschereit, X. Huang, M. Meinke, W. Schröder, J. Müller, K. Oberleithner
    (See online at https://doi.org/10.2514/6.2019-2080)
 
 

Additional Information

Textvergrößerung und Kontrastanpassung