DTU Wind Energy invites you to the PhD Summer School: Remote Sensing for Wind Energy

12 – 16 June 2017

Venue: DTU Wind Energy, Risø Campus, Roskilde

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.

Charlotte Hasager (chair), Alfredo Peña, Jakob Mann, Torben Mikkelsen, Michael Courtney, Merete Badger, Rozenn Wagner, Ebba Dellwik.
Secretary: Camilla Brix Olsen. 

We plan hands-on exercises. Please bring your laptop.

Credits for the course are 2.5 ECTS.
  This includes 34 hours of preparation time studying the Compendium of the PhD Summer School: Remote Sensing for Wind Energy available:

Cost for participants
Free for DTU PhD students (via campusnet registration)
250 euros per PhD. student
2000 euros per non-PhD. student

Deadline for registration:  15 May 2017 

The registration fee covers participation in the summer school, course material and listing of recommended reading, lunches and coffee breaks from Monday to Friday.
Registration DOES NOT include the hotel booking.

For further details e-mail Charlotte Hasager at cbha@dtu.dk

Learning objectives:

A student who has met the objectives of the course will be able to:

• Identify remote sensing instruments for wind energy regarding data types
• Compare various remote sensing data from different sensors
• Use flow correction for lidars above hills
• Develop a typical measurement plan using remote sensing devices for wind data
• Evaluate data from remote sensing instrument using signal processing methods
• Calculate the flow adjustment for wind lidars above hills
• Explain remote sensing techniques for observing turbulence
• Identify faulty data from remote sensing instruments
• Identify advantages and limitations of various remote sensing instruments.

• Dr. Senior Scientist Alfredo Peña, DTU Wind Energy, Denmark
• Dr. Senior Scientist Charlotte Bay Hasager, DTU Wind Energy, Denmark
• Dr. David Schlipf, University of Stuttgart, Germany
• Dr. Senior Scientist, Ebba Dellwik, DTU Wind Energy, Denmark
• Associate Professor, Henning Skriver, DTU Space, Denmark
• Professor Jakob Mann, DTU Wind Energy, Denmark
• Dr. Jean-Pierre Cariou, Leosphere, France
• Dr. John Medley, ZephIR Lidar, United Kingdom
• Dr. Senior Scientist Merete Badger, DTU Wind Energy, Denmark
• Dr. Senior Scientist Michael Courtney, DTU Wind Energy, Denmark
• Dr. Senior Scientist Mikael Sjöholm, DTU Wind Energy, Denmark
• Dr. Scientist Nikola Vasiljevic, DTU Wind Energy, Denmark
• Mr. Nikolas Angelou, DTU Wind Energy, Denmark
• Dr. Senior Wind Energy Analyst Nicolai Nygaard, DONG Energy, Denmark
• Dr. Senior Scientist Rozenn Wagner, DTU Wind Energy, Denmark
• Professor Søren Larsen DTU Wind Energy, Denmark
• Professor Torben Mikkelsen, DTU Wind Energy, Denmark



12th June


13th June




15th June


16th June

09:00 10:00

Welcome and introduction

Head of Department Peter Hauge Madsen,

Dr. Charlotte Hasager

Introduction to continuous wave lidar
Dr. John Medley


Lidars for wind turbine control
Dr. David Schlipf


Lidar in complex terrain
Prof. Jakob Mann

Introduction to radar for wind and wake

Dr. Nicolai Nygaard

10:00 – 11:00

Introduction to various remote sensing instruments: radar, SODAR, LIDAR, ceilometers, SAR, etc.
Prof. Torben Mikkelsen

Exercise in continuous wave lidar

Dr. Rozenn Wagner, Mike Courtney


Lidars and power curves
Dr. Rozenn Wagner

Exercise lidar in complex terrain

Dr. Alfredo Peña


Introduction to SAR
Dr. Henning Skriver

11:00 – 12:00

Introduction to boundary-layer meteorology

Prof. Søren Larsen

Exercise continued.

Prof. Torben Mikkelsen

Accuracy of scanning lidar wind speed retrievals

Dr. Nikola Vasiljevic

SAR for wind energy
Dr. Merete Badger

12:00 – 13:00






13:00 – 14:00

Introduction to wind power meteorology

Dr. Charlotte Hasager

Pulsed lidars for wind energy
Dr. Jean-Pierre Cariou

Exercise in lidar data signal analysis

Mr. Nikolas Angelou

Prof. Jakob Mann

Exercise in SAR

Dr. Merete Badger,

Dr. Charlotte Hasager

14:00 – 15:00

Aerial lidar

Dr. Ebba Dellwik

Exercise in pulsed lidar

Dr. Rozenn Wagner, Mike Courtney


Lidars and wind profiles
Dr. Alfredo Peña

Lidars and turbulence
Prof. Jakob Mann

Summary session

Dr. Charlotte Hasager

15:00 – 16:00

Exercise in aerial lidar

Dr.. Ebba Dellwik



Dr. Mikael Sjöholm

Exercise in lidars
Dr. Mikael Sjöholm

Exercise in lidar and turbulence

Prof.Jakob Mann

Evaluation and closing

Dr. Charlotte Hasager

16:00 – 17:00

Icebreaker reception

Head of Section, Dr. Hans E. Jørgensen



Exercise continued.

Exercise continued.











Charlotte Bay Hasager
Senior Scientist
DTU Wind Energy
+45 46 77 50 14