PhD Summer School: Remote Sensing for Wind Energy, Certificate

  • Application Deadline
  • 5 days
    Duration
  • Tuition
    2000
    Tuition (Year)
    250
    Tuition (Year)
  • English (take IELTS)
    Language
,
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.
  • Overview
  • Programme outline
  • Key facts
  • Admission requirements
  • Fees and funding

About

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.

Detailed Programme Facts

  • Full-time duration 5 days
  • Study intensity Full-time
  • Credits
    2 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus
  • Skill Disciplines
    Research Techniques

Programme Structure

Courses Included:
  • Introduction to remote sensing
  • Introduction to boundary layer meteorology
  • Wind power meteorology
  • SAR for wind energy
  • Scatterometer and passive microwave for wind energy
  • Lidars and wind profiles
  • WindScanner
  • Time-space synchronization of multi-lidar systems

Audience

PhD students and non-Ph.D. students

Lecturers

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

Tuition Fee Per Year

  • EUR 2000 International
  • EUR 250 EU/EEA

Funding

StudyPortals Tip: Students can search online for independent or external scholarships Students can that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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