IP Library Granted Patent US 10,233,907
Granted Patent B2
US 10,233,907 · App. 15/366,310 · Granted Mar 19, 2019

Operating a wind turbine by reducing an acoustic emission during operation

Inventors: Michael J. Asheim (Littleton, CO); Steven Buck (Boulder, CO)
Assignee: Siemens Aktiengesellschaft
F03D17/00F03D7/00F03D7/0296G05B17/02F05B2260/96F05B2270/32F05B2270/322F05B2270/331F05B2270/332F05B2270/333F05B2270/807F05B2270/808F05B2270/81Y02E10/723
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Quick Facts
Patent No.
US 10,233,907
App. No.
15/366,310
Granted
Mar 19, 2019
Kind
B2
Abstract

A method is proposed for operating a wind turbine, including the following steps: deriving at least one turbulence characteristic of atmosphere hitting the wind turbine, determining at least one wind turbine specific parameter based on the at least one derived turbulence characteristic, and operating the wind turbine according to the at least one determined turbine specific parameter is provided. Further, a wind turbine and a device as well as a computer program product and a computer readable medium are also provided.

Claims (61)

1. A method for operating a wind turbine, comprising:

deriving at least one turbulence characteristic of atmosphere hitting the wind turbine based on at least one measured rotor blade characteristic of at least one rotor blade of the wind turbine, and on a first correlation between rotor blade characteristics of at least one rotor blade of the wind turbine and wind turbine specific inflow characteristics of atmosphere hitting the wind turbine;

determining at least one wind turbine specific parameter based on the at least one derived turbulence characteristic and based on a second correlation between turbine specific turbulence characteristics and turbine specific parameter; and

operating the wind turbine according to the at least one determined turbine specific parameter.

2. The method according to claim 1 , wherein the at least one wind turbine specific parameter is representing acoustic emissions.

3. The method according to claim 1 , wherein the at least one rotor blade characteristics is a vibration strength of at least one rotor blade.

4. The method according to claim 3 , wherein the vibration strength of the at least one rotor blade is derived based on at least one measurement signal provided by:

at least one accelerator sensor, and/or

at least one strain gage sensors, and/or

at least one unsteady pressure sensor assigned to the at least one rotor blade.

5. The method according to claim 4 , wherein the at least one measurement signal is filtered in a definable frequency range.

6. The method according to claim 5 , wherein a signal energy of the at least one filtered measurement signal is determined.

7. The method according to claim 6 , wherein the first correlation is representing a proportionality between the signal energy and a quantity

k 0.5 u in

wherein

k is representing a turbulence kinetic energy,

u in is the local mean blade inflow speed.

8. The method according to claim 1 , wherein

the at least one turbulence characteristic is:

a turbulence intensity, or

a turbulence kinetic energy, or

a turbulence dissipation.

9. The method according to claim 8 , wherein a value of the turbulence intensity is derived according to:

I

T

=

1

u

in

2

3

k

wherein

I T is representing the turbulence intensity

u in is the local mean blade inflow speed

k is the turbulence kinetic energy.

10. The method according to claim 9 , wherein the turbulence kinetic energy is derived according to

k

=

(

A

HFAC

u

in

)

2

wherein

A is a proportionality constant being defined by the first correlation

HFAC is the signal energy

u in is the local mean blade inflow speed.

11. A wind turbine, comprising:

a processing unit that is arranged for:

deriving at least one turbulence characteristic of atmosphere hitting the wind turbine based on at least one measured rotor blade characteristic of at least one rotor blade of the wind turbine, and on a first correlation between rotor blade characteristics of at least one rotor blade of the wind turbine and wind turbine specific inflow characteristics of atmosphere hitting the wind turbine;

determining at least one wind turbine specific parameter based on the at least one derived turbulence characteristic and based on a second correlation between turbine specific turbulence characteristics and turbine specific parameter; and

operating the wind turbine according to the at least one determined turbine specific parameter.

12. A device comprising and/or being associated with a processor unit and/or hard-wired circuit and/or a logic device that is arranged such that the method according to claim 1 is executable thereon.

13. A computer program product directly loadable into a memory of a digital computer, comprising software code portions for performing the steps of the method according to claim 1 .

14. A computer readable medium, having computer-executable instructions adapted to cause a computer system to perform the steps of the method according claim 1 .

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 3, 2019
From: SIEMENS AKTIENGESELLSCHAFT
To: SIEMENS GAMESA RENEWABLE ENERGY A/S
Reel/Frame 048003/0631 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2017
From: SIEMENS WIND POWER A/S
To: SIEMENS AKTIENGESELLSCHAFT
Reel/Frame 041584/0209 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 13, 2017
From: SIEMENS ENERGY, INC.
To: SIEMENS WIND POWER A/S
Reel/Frame 041552/0301 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 21, 2017
From: BUCK, STEVEN; ASHEIM, MICHAEL J.
To: SIEMENS ENERGY, INC.
Reel/Frame 041315/0062 →
Priority Claims (1)
EP 15201323 · Dec 18, 2015 · regional
Continuity (1)
Related Publication 20170175714A1 · Jun 22, 2017