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Monday, 16 March 2009
Tuesday, 17 March 2009
Wednesday, 18 March 2009
Thursday, 19 March 2009
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Poster Session / Session consacrée aux posters
Poster Session Track / Session Code: PO
Tuesday, 17 March 2009, 14:00 - 15:30 |
WIND TURBINE WAKE VIRTUAL LABORATORY: PROPOSAL FOR A NEW COLLABORATION
Rebecca Barthelmie, Indiana University, United States
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| Co-author(s): |
Gregor.giebel@risoe.dk Giebel, United States (2) Sten Frandsen, Denmark (2) Joergen Lemming, (2)
(1) Indiana University (2) Risoe National Laboratory/DTU |
Summary
A continuing issue of concern is the correct quantification of wind turbine wakes by standard wind farm models. A key to better understanding of wake losses and for improved modelling techniques is to provide observational data sets for use by modellers. This paper outlines a proposal to provide wake model benchmarking for evaluation of wake models and to provide data sets from large wind farms for open use. (Request poster)
Full description
Results from a number of recent research projects suggest that standard wind farm models under-predict power losses due to wakes in large offshore wind farms. No comprehensive survey has been carried out, nor have any detailed studies of wake losses in large wind farms on land been forthcoming although general under-performance compared to pre-construction predictions may in part be due to wake under-prediction. Either way the wind energy industry cannot support this continuing uncertainty and needs to take action to make both observations and model results more widely available.
This process was started under the auspices of the International Energy Agency (IEA) with two workshops; in 2005 the Workshop on External Conditions, Layouts, and Design of Offshore Wind Farms and in 2006 the Workshop On Wake Modelling And Benchmarking Of Models. One of the major issues that has to be addressed is the different approach currently required in modelling power losses due to wakes and in fatigue and extreme loading due to increased turbulence in the array. The former is mainly conducted through the use of long time series (e.g. one to many years) containing a full range of wind speed and directions conditions (possibly also turbulence) from which average power losses due to wake are modelled. The latter concentrates on modelling a number of specified design load cases.
For modelling power losses several projects are now in progress. One of these is the coordination action project POW?WOW which has established a virtual wakes laboratory as part of its workpackage on wakes. This is currently in a test phase but could be significantly developed to provide additional data for wake model benchmarking and also expanded under the IEA. Although the number and quantity of observational data sets are not large, this does represent the first opportunity to access any data from large offshore wind farms and hence could provide a template for future activity.
This paper will describe these and further efforts to provide a common wake model benchmark platform for use by those in the wind energy industry.
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