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公开(公告)号:US20230020641A1
公开(公告)日:2023-01-19
申请号:US17787917
申请日:2020-12-18
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Erik SLOTH , Brian JØRGENSEN , Simon Stevns KAZAR , Anders Yde WOLLESEN
IPC: F03D1/06
Abstract: According to a first aspect of the invention, there is provided a wind turbine blade having a split blade configuration, comprising a first blade module defining an aerofoil profile and a second blade module defining an aerofoil profile; a damping module intermediate the first blade module and the second blade module; wherein the damping module comprises a first blade interface for joining to the first blade module and a second blade interface for joining to the second blade module. The damping module comprises a vibration damping unit.
Beneficially, the invention provides a useful way in which to integrate motion damping functionality into a modular wind turbine blade.-
公开(公告)号:US20230366377A1
公开(公告)日:2023-11-16
申请号:US18316886
申请日:2023-05-12
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Ewan MACHEFAUX , Erik SLOTH , Mark ZAGAR
IPC: F03D7/02
CPC classification number: F03D7/0296 , F05B2260/96 , F05B2260/84 , F05B2270/333
Abstract: A method for controlling noise generated by a wind farm with a plurality of wind turbines is disclosed. In the event that a predicted noise level exceeds a predefined threshold noise value, one or more wind turbines are selected using a noise propagation model and respective wind turbine models for the selected one or more wind turbines, and by performing an optimisation process to reduce the predicted noise level at the predefined evaluation position to a level below the predefined threshold noise value while maximising the total power production of the wind farm.
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公开(公告)号:US20190154000A1
公开(公告)日:2019-05-23
申请号:US16091365
申请日:2017-04-03
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Keld HAMMERUM , Tobias Gybel HOVGAARD , Erik SLOTH
CPC classification number: F03D7/0296 , F03D7/045 , F05B2270/333 , F05B2270/404 , Y02E10/723
Abstract: The present invention relates to control of wind turbines where a noise measure is taken into account. Control of a wind turbine is described where a control trajectory is calculated based on noise measure, the noise measure being determined from a predicted operational trajectory. In embodiments the predicted operational trajectories are calculated by using a model predictive control (MPC) routine.
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公开(公告)号:US20240141869A1
公开(公告)日:2024-05-02
申请号:US18500522
申请日:2023-11-02
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Helge SCHNEHLE , Erik SLOTH , Daniel Merchan MILLAN , Naga Srinivas KAMARAJUGADDA , Ulf CLAUSEN
IPC: F03D7/02
CPC classification number: F03D7/0296 , F05B2260/84 , F05B2260/96 , F05B2270/333
Abstract: Disclosed is a method, performed by an electronic device, for controlling operation of a wind turbine. The method comprises obtaining wind turbine data associated with the wind turbine. The wind turbine data is indicative of conditions of operation of the wind turbine. The method comprises predicting an amplitude modulation (AM) noise parameter indicative of AM noise within a region at a distance from the wind turbine by applying a machine learning model to the wind turbine data. The method comprises generating, based on the AM noise parameter, control data indicative of a control operation of the wind turbine. The method comprises providing the control data to a controller for controlling the wind turbine in accordance with the control data.
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公开(公告)号:US20180017042A1
公开(公告)日:2018-01-18
申请号:US15550312
申请日:2016-02-12
Applicant: VESTAS WIND SYSTEMS A/S
Inventor: Torben Ladegaard BAUN , Erik Carl Lehnskov MIRANDA , Erik SLOTH
CPC classification number: F03D7/0296 , F03D1/02 , F03D7/0224 , F03D7/024 , F03D7/0276 , F03D7/028 , F03D9/25 , F05B2240/221 , F05B2240/912 , F05B2260/964 , F05B2270/111 , F05B2270/327 , F05B2270/334 , F05B2270/335 , H02K7/1838 , H02P9/04 , Y02E10/723 , Y02E10/725 , Y02E10/728
Abstract: A wind turbine system comprising a plurality of wind turbines mounted to a support structure including a tower, wherein each of the plurality of wind turbines includes a rotor and a power generation system driven by the rotor, and at least one of a rotor blade pitch adjustment means and a generator power control means. The system further includes control means that receives vibration data associated with the support structure and which is configured to determine a damping control command for a respective one of the plurality of wind turbines, wherein the or each of the wind turbines includes a damping controller that receives a damping control command and which is operable to apply a damping control input to one or both of the blade pitch adjustment means and the generator power control means so as to counteract the measured vibration of the support structure. A benefit of the invention is that the operation of the multiple turbines of the system is used to reduce the effects of structural vibration by damping that vibration in an active manner.
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