Research Interests

• Wind farm flow modelling
• Wake effects
• Digital Twin technology

Curriculum Vitae

• 2015: B.Sc. in Industrial Engineering at University Of Bayreuth, Focus Energy Engineering
• 2017: M.Sc. in Sustainable Energy Engineering at Stockholm Royal Institute Of Technology, Focus Turbomachinery
• 2018-2020: Wind Site & Yield Engineer at innogy SE Renewables, Hamburg
• 2020: PhD Candidate at Chair of Wind Energy

Publications

• Braunbehrens, R., Vad, A., and Bottasso, C. L. 2023: The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data, Wind Energ. Sci., 8, 691–723, https://doi.org/10.5194/wes-8-691-2023.

• Braunbehrens, R., Schreiber, J., & Bottasso, C. L. (2022, May). Application of an open-loop dynamic wake model with high-frequency SCADA data. In Journal of Physics: Conference Series (Vol. 2265, No. 2, p. 022031). IOP Publishing.

• Campagnolo, F., Imširović, L., Braunbehrens, R., & Bottasso, C. L. (2022, May). Further calibration and validation of FLORIS with wind tunnel data. In Journal of Physics: Conference Series (Vol. 2265, No. 2, p. 022019). IOP Publishing.

• Göçmen, T., Campagnolo, F., Duc, T., Eguinoa, I., Andersen, S. J., Petrović, V., Imširović L., Braunbehrens R., ... & Meyers, J. (2022). Farmconners wind farm flow control benchmark: Blind test results. Wind Energy Science Discussions, 1-69.

• Braunbehrens, Robert, and Antonio Segalini. "A statistical model for wake meandering behind wind turbines." Journal of Wind Engineering and Industrial Aerodynamics 193 (2019): 103954
   
• Segalini, A., Braunbehrens, R., & Hyvarinen, A. (2017, November). Dispersive stresses in wind farms. In APS Division of Fluid Dynamics Meeting Abstracts (pp. D17-004).