Objective
Current practice in wind turbines operation is that every turbine has its own controller that optimizes its own performance in terms of energy capture and loading. This way of operating wind farms means that each wind turbine operates based only on the available information on its own measurements. This gets the wind farm to operate in a non-optimum way, since wind turbines are not operating as players of a major system.
The major reasons for this non-optimum approach of wind farms operation are based on the lack of knowledge and tools which can model the dynamics of the flow inside the wind farm, how wind turbines modifies this flow, and how the wind turbines are affected by the perturbed flow. In addition, this lack of tools deals to also a lack of advanced control solutions, because there are not any available tool which can help on developing and testing virtually advanced control concepts for wind farms.
CL-WINDCON will bring up with new innovative solutions based on wind farm open and closed loop advanced control algorithms which will enable to treat the entire wind farm as a unique integrated optimization problem. This will be possible thanks to the development of appropriate dynamic tools for wind farm simulation, at a reasonable computing effort. These tools for wind farm dynamic modelling of wind farm models will be fully open source at the end of the project, while control algorithms will be extensively validated simulations, in wind tunnel tests. Some open loop validations will be performed at wind farm level tests.
Proposed control algorithms, useful for future but also for already existing wind farms. Then these will improve the LCOE, as well as the O&M costs will decrease, and improves in terms of reliability the wind turbine and wind farm. These performance improvements will be evaluated for both, wind turbine operation and wind farm operation.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraft
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- social scienceseconomics and businessbusiness and managementemployment
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
31621 Sarriguren
Spain
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Participants (17)
60313 Frankfurt Am Main
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00198 Roma
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22763 Hamburg
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BS2 0PS Bristol
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20457 Hamburg
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2628 CN Delft
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70174 Stuttgart
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80333 Muenchen
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Participation ended
1755 LE Petten
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20133 Milano
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20500 Mondragon
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9220 Aalborg
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28003 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
26382 Wilhelmshaven
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
27472 Cuxhaven
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31192 Mutilva Alta Navarra
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2595 DA Den Haag
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