PhD Summer School: Wind Turbines, Wind Farms and Wakes

25. June - 6. July 2018
Venue: DTU, Lyngby Campus, Denmark

The summer school will include lecturers and exercises in design, optimization and analyses of wind farms located both offshore and onshore with focus on complex terrain. The first week will focus on wind farm design, numerical and experimental analysis of small and large-scale wind turbines. These lectures will be given by Professor Francesco Castellani, Univ. of Perugia. The lectures in the second week will be given by visiting Professor Rebecca J. Barthelmie, Cornell Univ. and staff members from Department of Wind Energy, DTU. The topics will cover wind farm optimization, SCADA data, wake measurements and tools for modelling wakes. In addition to traditional lectures, there will be student exercises based on real wind farm data and finally the course includes a wind farm visit.

 

Organizers

Kurt S Hansen (Chair), Jens N. Sørensen,  Rebecca J Barthelmie and Francesco Castellani

 

Lecturers:

  • Professor Francesco Castellani, Univ. Of Perugia
  • Professor Rebecca J. Barthelmie, Cornell Univ.
  • Professor Jens N. Sørensen, DTU Wind Energy
  • Professor Sara C. Pryor, Cornell Univ.
  • Senior Researcher Ju Feng, DTU Wind Energy
  • Dr. Assistant Professor Søren J. Andersen, DTU Wind Energy
  • Postdoctoral Fellow Tuhfe Göçmen, DTU Wind Energy
  • Senior Scientist Kurt S. Hansen, DTU Wind Energy
  • Senior Scientist Xiaoli Guo Larsén, DTU Wind Energy
  • Senior Scientist Gunner Chr. Larsen, DTU Wind Energy
  • Senior Scientist Robert F. Mikkelsen, DTU Wind Energy
  •  

    Secretary: Marianne Hjorthede Arbirk

     

    We plan for hands-on exercises. Please bring your Laptop.

    Credits info
    Credits for the course are 2.5 ECTS.


    Cost for participants:

    250 euros per PhD students

    2000 euros per non-PhD students

     

    Deadline for registration: 28 May 2018

     

    Registration for the course - link

     

    The registration fee covers participation in the summer school, course material and listing of recommended reading, lunches and coffee breaks during the lecture hours.

     

    The registration fee DOES NOT cover hotel booking or accommodation costs.

    For further details e-mail Kurt S. Hansen at kuhan@dtu.dk

     

    Learning objectives:

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

  • Determine the wind turbine power performance from wind tunnel tests;

  • Understand the dynamics of wind turbines operation in complex terrain;

  • Understand impacts on power production from non-uniform flow;

  • Design and optimize a wind farm layout;

  • Qualify SCADA data for power and fault diagnosis;

  • Perform wind farm performance analysis;

  • Identify the wake characteristics from sodar, lidar or mast measurements;

  • Explain how to perform wake modeling with engineering and CFD tools;

     

    Literature:

    Astolfi, D., Castellani, F., & Terzi, L. (2018). A study of wind turbine wakes in complex terrain through RANS simulation and SCADA data. Journal of Solar Energy Engineering, 140(3), 031001.

    Castellani, F., Buzzoni, M., Astolfi, D., D’Elia, G., Dalpiaz, G., & Terzi, L. (2017). Wind Turbine Loads Induced by Terrain and Wakes: An Experimental Study through Vibration Analysis and Computational Fluid Dynamics. Energies, 10(11), 1839.

    Astolfi, D., Castellani, F., Scappaticci, L., & Terzi, L. (2017). Diagnosis of wind turbine misalignment through SCADA data. Diagnostyka, 18.

    Castellani, F., Astolfi, D., Mana, M., Piccioni, E., Becchetti, M., & Terzi, L. (2017). Investigation of terrain and wake effects on the performance of wind farms in complex terrain using numerical and experimental data. Wind Energy, 20(7), 1277-1289.

    Castellani, F., Astolfi, D., Mana, M., Becchetti, M., & Segalini, A. (2017). Wake losses from averaged and time-resolved power measurements at full scale wind turbines. In Journal of Physics: Conference Series (Vol. 854, No. 1, p. 012006). IOP Publishing.

    Segalini, A., & Castellani, F. (2017). Wind-farm simulation over moderately complex terrain. In Journal of Physics: Conference Series (Vol. 854, No. 1, p. 012042). IOP Publishing.

    Castellani, F., Astolfi, D., Sdringola, P., Proietti, S., & Terzi, L. (2017). Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment. Applied Energy, 185, 1076-1086.

    Castellani, F., D'Elia, G., Astolfi, D., Mucchi, E., Giorgio, D., & Terzi, L. (2016, September). Analyzing wind turbine flow interaction through vibration data. In Journal of Physics: Conference Series (Vol. 753, No. 11, p. 112008). IOP Publishing.

    Astolfi, D., Castellani, F., Garinei, A., & Terzi, L. (2015). Data mining techniques for performance analysis of onshore wind farms. Applied Energy, 148, 220-233.

    Castellani, F., Astolfi, D., Terzi, L., Hansen, K. S., & Rodrigo, J. S. (2014). Analysing wind farm efficiency on complex terrains. In Journal of Physics: Conference Series (Vol. 524, No. 1, p. 012142). IOP Publishing.

    Astolfi, D., Castellani, F., & Terzi, L. (2014). Fault prevention and diagnosis through SCADA temperature data analysis of an onshore wind farm. Diagnostyka, 15.

    Best Practice Guidelines for Wind Farm Flow Models Ed.1 | Windbench windbench.net/node/396/view, p16-p28

    IEA-Task 31 WAKEBENCH: Towards a protocol for wind farm flow model evaluation. Part 2: Wind farm wake models. http://iopscience.iop.org/article/10.1088/1742-6596/524/1/012185

     

    Barthelmie, R. J., and L. E. Jensen, 2010: Evaluation of power losses due to wind turbine wakes at the Nysted offshore wind farm. Wind Energy, 13, 573-586.

 

Barthelmie, R. J., S. C. Pryor, and L. E. Jensen, 2010a: Physical controls on wind turbine wake development. The Science of Making Torque from Wind, Crete, June 2010.

 

Barthelmie, R. J., K. S. Hansen, and S. C. Pryor, 2013: Meteorological controls on wind turbine wakes. Proceedings of the IEEE, 101(4), 1010-1019.

 

Barthelmie, R. J., P. Doubrawa, H. Wang, and S. C. Pryor, 2016a: Defining wake characteristics from scanning and vertical full- scale lidar measurements. Journal of Physics: Conference Series, 753, 032034.

 

Barthelmie, R. J., P. Doubrawa, H. Wang, G. Giroux, and S. C. Pryor, 2016b: Effects of an escarpment on flow parameters of relevance to wind turbines. Wind Energy, 2271-2286 DOI: 2210.1002/we.1980.

 

Barthelmie, R. J., and Coauthors, 2010b: Quantifying the impact of wind turbine wakes on power output at offshore wind farms. Journal of Atmospheric and Oceanic Technology, 27, 1302-1317.

 

Berg, J., N. Troldborg, N. N. Sørensen, E. G. Patton, and P. P. Sullivan, 2017: Large-Eddy Simulation of turbine wake in complex terrain. Journal of Physics: Conference Series, 854, 012003.

 

Bingöl, F., J. Mann, and G. C. Larsen, 2010: Light detection and ranging measurements of wake dynamics part I: one-dimensional scanning. Wind Energy, 13, 51-61.

 

Doubrawa, P., R. J. Barthelmie, H. Wang, and M. J. Churchfield, 2017: A stochastic wind turbine wake model based on new metrics for wake characterization. Wind Energy, 20, 449-463.

 

Doubrawa, P., R. J. Barthelmie, H. Wang, S. C. Pryor, and M. Churchfield, 2016: Wind Turbine Wake Characterization from Temporally Disjunct 3-D Measurements,. Remote Sensing, 8, doi:10.3390/rs8110939.

 

Machefaux, E., and Coauthors, 2016: An experimental and numerical study of the atmospheric stability impact on wind turbine wakes. Wind Energy, 19, 1785-1805.

 

Vasiljevic, N., and T. Gerz, 2018: Wind Turbine Wake Measurements with Automatically Adjusting Scanning Trajectories in a Multi-Doppler Lidar Setup, . Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-55, in review.

Program:

 

Week 46: 25. - 29. June -final

Time

Monday

25 June

Tuesday

26 June

Wednesday

27 June

Thursday

27 June

Friday

28 June

Topic

Welcome

WF design

 

WF operation

WF Reliability

Load control

09:0012:00

 

Wind farm design and optimization - part 1 (FC)

Operation analysis and wake control

Analysis of windfarm reliability

Load control and mitigation

12:00 13:00

Lunch

Lunch

Lunch

Lunch

Lunch

13:00 14:30

Welcome and introduction;

KSH, JNS, FC & RJB

Wind farm design and optimization - part 2 FC

Operation analysis and wake control - part 2

Analysis of windfarm reliability - part 2

Exercises

14:30-16:00

State-of-art of wind turbine wake modelling (Jens Nørkær Sørensen)

Evening

 

 

 

 

Social event

 

Week 27: 2. - 6. July -final

Time

Monday

2 July

Tuesday

3 July

Wednesday

4 July

Thursday

5 July

Friday

6 July

Topic

Qualification of SCADA data and exercise

Wake measurement and characterization

 

Wake modeling including an exercise

Array-Array wake effects

Presentation of final exercise &
Goodbye

09:0010:00

Introduction (Kurt Hansen)

Wakes and loads

(Gunner Larsen)

LES & CFD models (Søren Andersen)

Array-array interactions (Sara C Pryor)

Presentation of wake exercises (Rebecca Barthelmie)

10:00 11:00

Meteorology and wind turbine wakes (Rebecca Barthelmie)

Wake characterization from remote sensing (Rebecca Barthelmie)

Engineering wake models from DTU (Tuhfe Göçmen)

Offshore wake modeling (Xiaoli Larsen)

11:00 12:00

Introduction to SCADA data (Kurt Hansen)

Wakes from scanning lidar (Rebecca Barthelmie/Kurt Hansen)

Wake model discussion (Rebecca Barthelmie)

WF exercise discussion (Rebecca Barthelmie/Kurt Hansen)

Discussion and evaluation
(Rebecca Barthelmie/Kurt Hansen)

12:00 13:00

Lunch

Lunch

Lunch/picnic

Lunch

Lunch & Close

13:00 14:30

SCADA data exercise
(Kurt Hansen)

Visit to new wind tunnel at Risø Campus
Wind tunnel measurements
(Robert Mikkelsen)

 

Wind farm optimization
(Ju Feng)

Visit to WF

 

14:30 16:00

Wind farm optimization exercise (Rebecca Barthelmie)

Contact

Kurt Schaldemose Hansen
Senior researcher
DTU Wind Energy
+45 45 25 43 18
http://www.vindenergi.dtu.dk/english/education/phd/phd-summer-school/kurt-s-hansen
25 MAY 2018