Virtual Wakes Lab

Welcome to the Wind Turbine Wake Virtual Laboratory Wakes Site

Virtualwakeslogo

Please cite
Barthelmie, R.J. and Pryor, S.C. 2013: Wake model evaluation using data from the Virtual Wakes Laboratory, Applied Energy, 104, 834-844. doi 10.1016/j.apenergy.2012.12.013.

Contents

1) Data from the ship mounted sodar at Vindeby
File:

LFoAnalysisVindebyExperiment

References:

  • Barthelmie, R.J., Pryor, S.C., Frandsen, S.T., Hansen, K.S., Schepers, J.G., Rados, K., Schlez, W., Neubert, A., Jensen, L.E. and Neckelmann, S. 2010: Quantifying the impact of wind turbine wakes on power output at offshore wind farms. Journal of Atmospheric and Oceanic Technology, 27(8), 1302-1317. doi: 10.1175/2010JTECHA1398.1
  • Barthelmie, R., Folkerts, L., Larsen, G., Pryor, S.C., Frandsen, S.T. and Schepers, G. 2006: Comparison of wake model simulations with offshore wind turbine wake profiles measured by sodar, Journal of Atmospheric and Oceanic Technology, 23(7), 888-901.

Acknowledgements
Please remember to acknowledge the data owners in any work which uses these data sets:
Vindeby – Risoe DTU National Laboratory for Sustainable Energy
And for the Wind Turbine Wake Virtual Laboratory, funding from the National Science Foundation (CBET#1464383)

 

2) Case studies from Horns Rev

HR_Round3_10ms

HR_Round3_8ms

HR_Round3_6ms

References:
Hansen, K.S., Barthelmie, R.J., Jensen, L.E. and Sommer. A. 2012: The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm, Wind Energy, 15(1), 183–196. DOI: 10.1002/we.512.
Barthelmie, R.J., Hansen, K., Frandsen, S.T., Rathmann, O., Schepers, J.G., Schlez, W., Philips, J., Rados, K., Zervos, A., Politis, E.S. and Chaviaropoulos, P.K. 2009: Modelling and measuring flow and wind turbine wakes in large wind farms offshore, Wind Energy, 12(5), 431–444. DOI: 10.1002/we.348.

Acknowledgements
Please remember to acknowledge the data owners in any work which uses these data sets:
Horns Rev – DONG Energy and Vattenfall
And for the Wind Turbine Wake Virtual Laboratory, funding from the National Science Foundation (CBET#1464383)

3) Time series of power and yaw data from Middelgrunden
MiddelgrundenYaw

MiddelgrundenSpeed

MiddelgrundenPower

Reference:

  • Barthelmie, R.J., Frandsen, S.T., Nielsen, N.M., Pryor, S.C., Rethore, P.E. and H.E. Jørgensen, 2007: Modelling and measurements of power losses and turbulence intensity in wind turbine wakes at Middelgrunden offshore wind farm, Wind Energy doi: 10.1002/we.238. 10, 217-228.

Acknowledgements
Please remember to acknowledge the data owners in any work which uses these data sets:
Middelgrunden – Middelgrundens Wind Turbine Cooperative
And for the Wind Turbine Wake Virtual Laboratory, funding from the National Science Foundation (CBET#1464383)

4) Wake case studies from Nysted (Roedsand I)
Nysted
Reference:

  • Barthelmie, R.J. and Jensen, L.E. 2010: Evaluation of power losses due to wind turbine wakes at the Nysted offshore wind farm, Wind Energy, 13, 573–586, DOI: 10.1002/we.408.

Acknowledgements
Please remember to acknowledge the data owners in any work which uses these data sets:
Nysted: DONG and Vattenfall
And for the Wind Turbine Wake Virtual Laboratory, funding from the National Science Foundation (CBET#1464383)