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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
Alfredo Peña DTU, Denmark
Co-authors:

(1) DTU, Roskilde, Denmark

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Poster
Download poster(1.23 MB)

Presenter's biography

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

Alfredo is a Senior Scientist at DTU Wind Energy, Denmark. His work has mainly been focused on the study of boundary-layer winds and remote sensing technology. He has been involved in many other aspects of wind power meteorology which include turbulence, wakes and the use of numerical weather prediction models for wind energy. He has a degree in Mechanical Engineering, a Master in Mechanical Engineering, a Master in Renewable Energies and did his PhD at Risø

Abstract

Far wake wind field comparison between satellite wind retrievals and microscale model

Introduction

Clusters of offshore wind farms are becoming denser in the Northern European Seas. New offshore wind farms will be designed and planned so that they capture most of the energy available in the area, which in already current scenarios means that they will shadow the other offshore wind farms making projects

Approach

We plan to show the effect of clusters of current offshore wind farms (and some other planned offshore projects) on their efficiency. The effect of such clusters, in terms of wind speed deficits due to the wakes of the wind farms, will be compared to wind speed retrievals performed using satellite SAR images.

Main body of abstract

Satellite SAR images are of enormous advantage for planning offshore wind farms and clusters as wind-related measurements in offshore areas are scarce and very expensive. Synthetic Aperture Radar (SAR) can perform wind retrievals in extended offshore areas and we are already aware of the far wake effects of offshore wind farms based on previous SAR images collected from satellites. In this study we will directly compared new SAR wind retrievals for extended offshore areas where there are currently operating many of the largest offshore wind farms with the wake results from a microscale model. The microscale model is inherently not able to capture many of the effects of such large offshore wind farm clusters but we show that it can be used as part of the planning of wind projects.

Conclusion

Some important conclusions are:
- SAR images are useful for studying the effects of offshore wind farm clusters
- Microscale models can be used for understanding the inter-effect of offshore wind farm clusters
- Wake results from microscale models (in terms of wake deficits, extension and spreading) are comparable with wind retrievals from satellite SAR



Learning objectives
We would like that the audience:
- Understands the effects of large offshore wind farm clusters on their efficiency
- Get an idea of the benefits of both satellite SAR images and microscale models for the planning of offshore wind farms
- Recognizes that although microscale models miss information on the scales of offshore clusters, they show some interesting and important characteristics of the wake behind such arrays