Andreas Vad

Technische Universität München
Boltzmannstr. 15
Room 2726
85748 Garching b. München
Tel.: +49 (0)89 289 16686
Email: andi.vad@tum.de

Research Interests

  • Wind farm flow modelling
  • Wind turbine simulation and design
  • Remaining lifetime prediction
  • Predictive maintenance

Curriculum Vitae

  • 2015: B.Sc. at Technical University Munich, Germany. Focus: Energy
  • 2019: M.Sc. at Technical University Munich, Germany. Focus: Energy and Turbomachinery.
  • 2020: Postgraduate Studies of Informatics at Technical University Munich, Germany. Focus: Machine Learning.
  • 2021- present: PhD Candidate at Chair of Wind Energy.

Publications

  • Vad A, Tamaro S and Bottasso C L 2023. A non-symmetric Gaussian wake model for lateral wake-to-wake interactions. J. Phys.: Conf. Ser. 2505 12046. http://dx.doi.org/10.1088/1742-6596/2505/1/012046 

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