Ph.D. Summer School: Remote Sensing for Wind Energy, 10 - 13 June 2014 at DTU Wind Energy, Riso Campus, Roskilde, Denmark.This 4-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, RASS, 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.Lecturers: • Dr. Senior Scientist Alfredo Pe%F1a, 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 Bingol, 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 Soren Larsen, DTU Wind Energy, Denmark • Dr. Professor Stuart Bradley, University of Auckland, New Zealand We plan hands-on exercises

Period
10-06-2014 - 13-06-2014 (1 weeks)

Target group
PhD students and others interest in remote sensing for wind energy.

Course aim
The participants should at the end of the course be able:To identify remote sensing instruments for wind energy regarding data types. To compare various remote sensing data from different sensors.To use flow correction for lidars above hills.To develop a typical measurement plan using remote sensing devices for wind data.To evaluate data from remote sensing. instrument using signal processing methods. To calculate the flow adjustment for wind lidars above hills.To explain remote sensing techniques for observing turbulence.To identify faulty data from remote sensing instruments.To identify advantages and limitations of various remote sensing instruments.



Credits
2.5 ECTS credits

Course fee
EUR 250[Convert to USD]250 euros per Ph.D. student Deadline for registration: 21 May 2014 The registration fee covers participation in the workshop, course material and listing of recommended reading, lunches and coffee breaks from Tuesday to Friday. Registration DOES NOT include the hotel booking. EUR 2000[Convert to USD]2000 euros per non-Ph.D. student Deadline for registration: 21 May 2014 The registration fee covers participation in the workshop, course material and listing of recommended reading, lunches and coffee breaks from Tuesday to Friday. Registration DOES NOT include the hotel booking.

Course leader
Organizers: Charlotte Hasager (chair), Alfredo Pea, Jakob Mann, Torben Mikkelsen, Sren Larsen, Michael Courtney, Ferhat Bingl, Merete Badger, Rozenn Wagner, Ioanna Karagali. Secretary: Anette Werner.

Scholarships
None

Technical University of Denmark DTU Wind Energy
Address: Frederiksborgvej 399 Roskilde
Postal code: 4000
City: Roskilde
Country: Denmark
Website: http://www.vindenergi.dtu.dk/english/Education/PhD-Summer-School
E-mail: cbha@dtu.dk
Phone: +45 46775014