Johannes Schreiber

Technische Universität München
Boltzmannstr. 15
Room 2731
85748 Garching b. München
Tel.: +49 (0)89 289 16683
Email: johannes.schreiber@tum.de

 

Research Interests

  • Sensing of wind characteristics in wind farms
  • Wind turbine interaction in wind farms and wind farm control
  • Field testing, numerical simulation and wind tunnel tests

Curriculum Vitae

  • 2011: Course work during exchange semester at Indian Institute of Technology Madras, Chennai (India)
  • 2012: B.Sc. in Mechatronics and Information Technology at Technische Universität München (TUM)
  • 2014: M.Sc. in Mechanical Engineering at TUM, main focus Sustainable Energy Systems and Fundamentals in Engineering Sciences. Master's Thesis: "Wind Speed Sensing and Wake Detection from Wind Turbine Rotor Loads"
  • 2015-present: PhD candidate at Chair of Wind Energy, TUM

Publications

  • Bottasso C L, Cacciola S, Campagnolo F, Schreiber J 2016 “Wake detection for wind farm control – formulation and validation”. 34th Wind Energy Symposium, AIAA SciTech Forum, San Diego, CA, USA, https://doi.org/10.2514/6.2016-1741
  • Bottasso C L, Cacciola S and Schreiber J 2015 "A wake detector for wind farm control" Journal of Physics: Conference Series 625 012007, dx.doi.org/10.1088/1742-6596/625/1/012007
  • Campagnolo F, Petrović V, Schreiber J, Nanos E M, Croce A and Bottasso C L 2016 "Wind tunnel testing of a closed-loop wake deflection controller for wind farm power maximization" Journal of Physics: Conference Series 753 32006, dx.doi.org/10.1088/1742-6596/753/3/032006 
  • Cacciola S, Bertelè M, Schreiber J and Bottasso C L 2016 "Wake center position tracking using downstream wind turbine hub loads" Journal of Physics: Conference Series 753 32036, dx.doi.org/10.1088/1742-6596/753/3/032036 
  • Schreiber J, Cacciola S, Campagnolo F, Petrović F, Mourembles D and Bottasso C L 2016 "Wind shear estimation and wake detection by rotor loads — First wind tunnel verification" Journal of Physics: Conference Series 753 32027, dx.doi.org/10.1088/1742-6596/753/3/032027
  • Schreiber J, Nanos E M, Campagnolo F and Bottasso C L 2017 "Verification and Calibration of a Reduced Order Wind Farm Model by Wind Tunnel Experiments" Journal of Physics: Conference Series, dx.doi.org/10.1088/1742-6596/753/3/032027 
  • Campagnolo F, Schreiber J, Garcia A M, Bottasso C L 2017 "Wind Tunnel Validation of a Wind Observer for Wind Farm Control" International Society of Offshore and Polar Engineers ISOPE-I-17-410, https://www.onepetro.org/conference-paper/ISOPE-I-17-410 
  • Bottasso C L, Cacciola S, Schreiber J 2018 "Local wind speed estimation, with application to wake impingement detection" Renewable Energy 116, 155–168, dx.doi.org/10.1016/j.renene.2017.09.044 
  • Schreiber J, Salbert B, Bottasso C L 2018 "Study of wind farm control potential based on SCADA data" Journal of Physics: Conference Series, Volume 1037,  doi.org/10.1088/1742-6596/1037/3/032012
  • Bottasso C L, Schreiber J 2018 “Online model updating by a wake detector for wind farm control” Annual American Control Conference 2018 (ACC), Milwaukee, WI, USA, IEEE, S. 676–681, https://doi.org/10.23919/ACC.2018.8431626
  • Campagnolo F, Molder A, Schreiber J, Bottasso C L 2019 “Comparison of Analytical Wake Models with Wind Tunnel Data” Journal of Physics: Conference Series 1256, S. 12006, https://doi.org/10.1088/1742-6596/1256/1/012006
  • Schreiber J, Balbaa A, Bottasso C L 2019 ”Brief communication: A double Gaussian wake model” Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-52, in review
  • Schreiber J, Bottasso C L, Salbert B, Campagnolo F 2019 “Improving wind farm flow models by learning from operational data” Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2019-91, in review