Determination of wind turbine configuration

Patent metadata

Field	Value
Publication number	US-10830213-B2
Application number	US-201515529222-A
Country	US
Kind code	B2
Filing date	Nov 23, 2015
Priority date	Nov 24, 2014
Publication date	Nov 10, 2020
Grant date	Nov 10, 2020

Abstract

Determination of Wind Turbine Configuration The present invention relates to a method and computer system for determining a configuration of a wind turbine of a given wind turbine type, the method comprising the steps of: storing in a database a plurality of combinations of physical and control parameters of the wind turbine that can be varied; determining a plurality of wind flow characteristics at a target location; applying a function which defines a relationship between a performance parameter, a fatigue life estimation, the combination of physical and control parameters and the plurality of wind flow characteristics, to at least some of the plurality of combinations in the database to determine values of the performance parameter and the fatigue life estimation for those combinations; and selecting one of the combinations of physical and control parameters as the configuration of the wind turbine for the target location on the basis of the performance parameter and fatigue life estimation values.

First claim

The invention claimed is:

1. A method for determining a configuration of a wind turbine of a given wind turbine type, the method comprising:
storing, in a database,. a plurality of combinations of physical and control parameters of the wind turbine, wherein each combination of the plurality of combinations comprises one or more variable physical parameters and one or more variable control parameters;
determining a plurality of wind flow characteristics at a target location for the wind turbine;
determining, for each combination of the plurality of combinations, values of a performance parameter and a fatigue life estimation for the combination, wherein determining the values comprises:
applying a predefined function to the one or more variable physical parameters of the combination, the one or more variable control parameters of the combination and the plurality of wind flow characteristics; and

selecting, based on the values of the performance parameter and the fatigue life estimation determined for the plurality of combinations, one of the plurality of combinations as the configuration of the wind turbine for the target location.

2. The method according to claim 1 , wherein the plurality of wind flow characteristics comprise at least two wind flow characteristics selected from the following: wind speed probability density distribution; wind direction; probability density distribution; average turbulence intensity; probability density distribution of turbulence intensity; air density; probability density distribution of air density; extreme wind; average vertical wind shear; probability density distribution of vertical wind shear;
average horizontal wind shear; probability density distribution of horizontal wind shear;
flow inclination; and wake effects,
wherein the at least two wind flow characteristics correspond to the target location or to one or more of a discrete number of wind-direction sectors at the target location.

3. The method according to claim 1 , wherein the method further comprises:
determining environmental conditions at the target location,
wherein determining the values comprises:
applying the predefined function to the one or more variable physical parameters of the combination, the one or more variable control parameters of the combination, the plurality of wind flow characteristics, and the environmental conditions.

4. The method according to claim 3 , wherein determining the environmental conditions at the target location comprises determining at least one environmental condition selected from the following: mean annual ambient temperature, probability density distribution of ambient temperature, mean annual atmospheric pressure, and probability density distribution of atmospheric pressure,
wherein the at least one environmental condition corresponds to the target location or to one or more of a discrete number of wind-direction sectors at the target location.

5. The method according to claim 1 , wherein the performance parameter comprises at least one performance parameter selected from the following: annual energy production; cost of energy; blade cost; tower and foundation cost; turbine cost; turbine lifetime operating cost; and profitability.

6. The method according to claim 1 , wherein the fatigue life estimation comprises a calculation of fatigue loading for one or more components of the wind turbine.

7. The method according to claim 1 , wherein the one or more variable physical parameters comprise at least one physical parameter selected from the following: hub height; and rotor diameter.

8. The method according to claim 1 , wherein storing the plurality of combinations comprises storing in the database a plurality of rotor diameters, each differing by less than a predetermined interval.

9. The method according to claim 8 , wherein the predetermined interval is about 10%.

10. The method according to claim 1 , wherein the one or more variable control parameters comprise at least one control parameter selected from the following: over-rating control; de-rating control; thrust limiter; high stop wind;
noise control modes; low cut-in wind-speed; and low stop wind-speed,
wherein the at least one control parameter corresponds to the target location or to one or more of a discrete number of wind-direction sectors at the target location.

11. The method according to claim 1 , wherein selecting one of the plurality of combinations comprises:
ranking the plurality of combinations of physical and control parameters according to the respective values of the performance parameter; and discounting any combinations of the plurality of combinations having the respective values of fatigue life estimation less than a threshold value of fatigue life.

12. The method according to claim 1 , wherein applying the function comprises:
receiving one or more design constraints as inputs; and
ensuring that the one or more design constraints are not exceeded for the combination.

13. The method according to claim 12 , wherein the one or more design constraints comprise one or more design constraints selected from the following: maximum hub height; minimum hub height; maximum blade length; minimum blade length; minimum power demand; maximum power demand; maximum ultimate mechanical loading of one or more components of the wind turbine; maximum fatigue loading of one or more components of the wind turbine; and maximum electrical loading of one or more components of the wind turbine.

14. A computer system for determining a configuration of a wind turbine of a given wind turbine type, the computer system comprising:
a computer processor; and
a memory comprising:
a database storing a plurality of combinations of physical and control parameters of the wind turbine, wherein each combination of the plurality of combinations comprises one or more variable physical parameters and one or more variable control parameters; and
a program that, when executed on the computer processor, performs an operation comprising:
determining a plurality of wind flow characteristics at a target location for the wind turbine;
determining, for each combination of the plurality of combinations, values of a performance parameter and a fatigue life estimation for the combination, wherein determining the values comprises:

applying a predefined function to the one or more variable physical parameters of the combination, the one or more variable control parameters of the combination, and the plurality of wind flow characteristics; and
selecting, based on the values of the performance parameter and the fatigue life estimation determined for the plurality of combinations, one of the plurality of combinations as the configuration of the wind turbine for the target.

15. The computer system of claim 14 , wherein the plurality of wind flow characteristics comprise at least two wind flow characteristics selected from the following: wind speed probability density distribution; wind direction; probability density distribution; average turbulence intensity; probability density distribution of turbulence intensity; air density; probability density distribution of air density; extreme wind; average vertical wind shear; probability density distribution of vertical wind shear; average horizontal wind shear; probability density distribution of horizontal wind shear; flow inclination; and wake effects,
wherein the at least two wind flow characteristics correspond to the target location or to one or more of a discrete number of wind-direction sectors at the target location.

16. The computer system according to claim

Assignees

• Vestas Wind Sys As

Inventors

• Hales Kelvin
• Spruce Chris

Classifications

• F05B2260/84

  Modelling or simulation · CPC title

• F05B2270/20

  to optimise the performance of a machine · CPC title

• F03D80/00

  Details, components or accessories not provided for in groups F03D1/00 - F03D17/00 · CPC title

• F03D80/50

  Maintenance or repair · CPC title

• F03D13/30 Primary

  Commissioning, e.g. inspection, testing or final adjustment before releasing for production · CPC title