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Conference programme 

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Poster session

Lead Session Chair:
Stephan Barth, Managing Director, ForWind - Center for Wind Energy Research, Germany
Torben Larsen DTU Wind Energy, Campus Risø, Denmark
Co-authors:
Torben Juul Larsen (1) F P Helge Aagaard Madsen (1) Gunner Larsen (1) Kenneth Thomsen (1)
(1) DTU Wind Energy, Campus Risø, Roskilde , Denmark (2) Siemens Windpower, ,

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Poster
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Presenter's biography

Biographies are supplied directly by presenters at OFFSHORE 2015 and are published here unedited


Abstract

Comparison of measured and simulated loads for the siemens swt2.3 operating in wake conditions at the lillgrund wind farm using hawc2 and the dynamic wake meander model.

Introduction

In this paper wake effects on load and power production are investigated using the Dynamic Wake Meander (DWM) model implemented in the aeroelastic code HAWC2. The instationary wind farm flow characteristics are modeled by treating the wind turbine wakes as passive tracers transported downstream using a meandering process driven by low frequency cross wind turbulence components

Approach

This wake model has previously be validated based on numerical comparisons to large eddy CFD simulations using the actuator line method as well as by comparisons to full scale measurements from a NEGMicon 2MW turbine at Tjaereborg with an inter turbine distance of 3.3D to the wake generating upstream turbine. More recently, additional validation has been conducted based on extensive full scale load comparisons to measurements performed on a Vestas V90 turbine located in the Egmond aan Zee Wind farm as the 6’th turbine in the row spaced with 7D.

Main body of abstract

Recently it has been announced that the DWM model will be included in the new edition of the IEC61400-1 ed. 4 standard. In general, the DWM model results in lower maximum load levels for blade and tower loads associated with closely spaced turbines, compared to the alternative IEC model by Steen Frandsen. This in turn may potentially cause a change in wind farm layout pattern, as some turbines might be placed closer than normally seen today. It is therefore important to have as detailed validation of the DWM model as possible for this closely spaced configuration including cases with influence of multiple wakes.

Conclusion

In this paper the DWM model is validated by comparing simulated and measured loads for the Swedish Lillgrund wind farms consisting of 48 Siemens SWT-2.3-93 turbines located just outside the coast of Sweden. The distance between the turbines is down to 3D and it is therefore in this context a unique load validation case. The SWT-2.3-93 turbine has been modeled based on structural and aerodynamic data provided by Siemens Wind Power, which also has made full scale measurements of both power production and blade, yaw and tower loads in free and wake affected operation available for this study


Learning objectives
Results of the comparison will be presented in non-dimensional form covering both fatigue and traditional max-min-mean statistical results.