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Map showing planned and actual offshore wind farms around the UK. Circled codes refer to the six farms discussed.
Source publication
Offshore wind farms are becoming a very important contributor of electricity to national grid systems, including that of the United Kingdom. Wind farms vary considerably in their geographic size and hence capacity. A number of operational and practical factors must be taken into account in designing an optimal spatial layout to make best use of res...
Contexts in source publication
Context 1
... sizes are set to increase to 150m and beyond. Planned and operational offshore wind farms are shown in Figure 3, with green for actual sites and red patches for planned (at the time of writing) sites. At present, UK farms typically comprise clusters of 30-100 in- dividual wind turbine platform towers, laid out in a pattern appropriate to the sea-bed and common wind conditions. ...
Context 2
... 1 summarises some typical properties of some selected UK offshore wind farms. Figure 3 shows the location of some of the planned and actual sites and in this present article we focus on a selected few near to Hull and the Humber or with interesting properties. Data are taken from online informtion provided at the web site: http://www.4coffshore.com/offshorewind/ ...
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Citations
As wind energy plays a growing role in the energy sector, new methods for controlling wind turbines and wind farms to maximize performance are garnering industry interest. A developing body of research treats the entire wind farm as a control system, with individual turbines acting as agents in a network, allowing farm-level objectives to be considered. Two promising developments in this research are wake steering control, which seeks to increase the power generated at a wind farm by directing the wakes of upstream turbines away from downstream ones, and communication-based spatial filtering, which seeks to improve the quality of information used by turbine- and farm-level controllers by combining measurements of the wind field collected at the individual turbines. The latter method has been shown to improve the estimates of wind direction at the turbines; however, the resulting potential for increased power capture warrants further investigation. With this paper, we begin to address this gap by combining wake steering with wind direction spatial filtering. To do so, we present a preliminary method for assessing the power capture of dynamic controllers using wind farm codes designed for time-averaged simulation. This allows us to generate results much more rapidly than would be possible using high-fidelity wind farm simulators and may be useful in many wind farm control design applications.
