This 4.5-day summer school will focus on advances in remote sensing techniques useful in wind energy. The themes to be covered are development, instrument configuration, signal processing, data analysis and applications of various remote sensing instruments: SODAR, LIDAR, ceilometers and SAR among others, both ground- and satellite-based instruments. Applied use includes wind resource mapping, wind profiling, power curve, wind loads, turbulence, and wind turbine control. Theoretical aspects of scattering and atmospheric boundary-layer characteristics relevant in remote sensing for wind energy will also be covered. Practical experiments will demonstrate remote sensing methodologies, and advantages and limitations will be discussed.
You can apply until:
Always verify the dates on the programme website.
PhD students and non-Ph.D. students
Dr. Senior Scientist Alfredo Peña, DTU Wind Energy, Denmark
Dr. Post. Doc. Ameya Sathe, DTU Wind Energy, Denmark
Dr. Senior Scientist Charlotte Bay Hasager, DTU Wind Energy, Denmark
Mr. Eric Simley, University of Colorado at Boulder, USA
Dr. Scientist Ferhat Bingöl, DTU Wind Energy, Denmark
Dr. Associate Professor Henning Skriver, DTU Space, Denmark
Dr. Post. Doc. Ioanna Karagali, DTU Wind Energy, Denmark
Dr. Professor Jakob Mann, DTU Wind Energy, Denmark
Dr. Jean-Pierre Cariou, Leosphere, France
Dr. Edward Burin des Roziers, ZephIR Lidar, United Kingdom
Dr. Senior Scientist Merete Badger, DTU Wind Energy, Denmark
Dr. Senior Scientist Michael Courtney, DTU Wind Energy, Denmark
Dr. Scientist Nikola Vasiljevic, DTU Wind Energy, Denmark
Dr. Scientist Rozenn Wagner, DTU Wind Energy, Denmark
Dr. Professor Stefan Emeis, KIT, Germany
Dr. Professor Søren Larsen, DTU Wind Energy, Denmark
Dr. Professor Stuart Bradley, University of Auckland, New Zealand
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