Back to the programme printer.gif Print




Delegates are invited to meet and discuss with the poster presenters in this topic directly after the session 'Wakes: Do we need different models for onshore and offshore wind farms?' taking place on Wednesday, 12 March 2014 at 16:30 -18:00. The meet-the-authors will take place in the poster area.

Peter Eecen ECN, The Netherlands
Co-authors:

(1) ECN, Petten, The Netherlands

Printer friendly version: printer.gif Print

Abstract

Wind farm design and active wake control

Introduction

In order to reduce the cost of wind energy, the wind industry is in need of accurately predicted electrical power and fatigue loads, as well as capabilities to control the large offshore wind farms of the future. ECN has been working on this for more than ten years and in this presentation will reveal their solutions. In addition they will share the latest results from the EU/FP7 project ClusterDesign.

Approach

ECN’s solutions allow the industry to maximise the energy production per installed kilowatt, and to minimize the fatigue load per generated kilowatthour. These solutions are obtained by combining in-house tools and concepts.
With the aerodynamic tool the wind speed, the turbulence intensity, the wind shear (horizontal as well as vertical) and the active power can be predicted for clusters of wind turbines. In addition there are tools to predict the reactive power and the fatigue loads.
With the active wake concepts one can control turbine wakes in an active manner by changing blade pitch angles and/or turbine yaw misalignments.


Main body of abstract

Since the tools and the concepts can be applied in the development phase as well as in the operation phase, both new and existing wind farms can be optimized for power and loads.
This has been put to the test in the framework of the project ClusterDesign, sponsored by the European Commission in the framework of the FP7 Programme.
The acceptance criterion is that more than 80% of the power predictions are within the tolerances. Comparisons with data measured in a small wind farm in the North Sea give high confidence in the aerodynamic tool.
Simulations of the active wake control concept in a yet to be build large wind farm in the North sea have revealed clear benefits for the production of the wind farm and the collective loading of the turbines in that wind farm. For this reason active wake control is considered for real-life testing in this wind farm.


Conclusion

Based on advanced and accurate wake modeling, solutions have been developed to accurately predict electrical power and fatigue loads, as well as capabilities to control offshore wind farms.
In the presentation details of the tools, the concepts, and the application on the two wind farms in the North Sea will be given.


Learning objectives
Delegates will learn about tools and concepts to optimize new and existing wind farms for electrical power and fatigue loads by using accurate wake modeling.