Method of monitoring and advising for a group of offshore floating wind platforms

Patent metadata

Field	Value
Publication number	US-11614075-B2
Application number	US-202117397029-A
Country	US
Kind code	B2
Filing date	Aug 9, 2021
Priority date	Aug 9, 2021
Publication date	Mar 28, 2023
Grant date	Mar 28, 2023

Abstract

The disclosure provides a method and system to monitor and advise the status of a group of floating platforms, such as offshore floating wind platforms, by using a floating platform's motion in the group and detect one or more anomalies to identify one or more disorders (including irregularities) in the group. Input for this method can include information of wind speed and direction and orientations of the wind turbine nacelles. The orientation of the platform can complement the orientation of a wind turbine nacelle on the platform in case the platform is equipped with a turret. Disorders include, but not limited to, mooring line failure, shifts of a drag anchor, other issues with the mooring system components such as fairleads, issues with the ballasting configuration of the floater, issues with the turret (if any), issues with the swivel of the nacelle, issues with the rotor, and issues with the blades.

First claim

What is claimed is:

1. A method for monitoring and advising for a group of selected floating platforms, comprising:
a. selecting a time window for the group of selected floating platforms to determine an existence of one or more anomalies in the group;
b. determining at least one value of at least one variable of a platform motion for the selected floating platforms for the selected time window;
c. comparing the at least one value of the at least one variable of the platform motion of one of the floating platforms of the selected floating platforms to the at least one value of the at least one variable of the platform motion of other selected floating platforms to determine if the at least one value for the one platform is within a determined variance of the at least one value for the other selected floating platforms;
d. repeating step (c) for other selected floating platforms in the group; and
e. identifying any selected floating platforms with values outside the determined variance as outlier platforms.

2. The method of claim 1 , further comprising identifying at least one of specific disorders in at least one of the outlier platforms compared to other platforms in the group.

3. The method of claim 1 , further comprising considering relative locational positions of the selected floating platforms in determining any selected floating platforms as outlier platforms.

4. The method of claim 1 , further comprising repeating step 1(b) for other variables of platform motion.

5. The method of claim 1 , wherein the at least one value of the at least one variable of the platform motion comprises at least one of a direct value or a statistical value of the direct value.

6. The method of claim 1 , wherein the at least one value of the at least one variable of the platform motion of other selected floating platforms comprises a statistical composite of the values for each of the other selected floating platforms.

7. A method for monitoring and advising for a group of selected floating platforms, comprising:
a. selecting a time window for the selected floating platforms to determine an existence of one or more anomalies in the group;
b. computing at least one value of at least one variable of a platform motion for the selected floating platforms for the selected time window;
c. providing a value of at least one environmental condition of the selected floating platforms;
d. arranging the selected floating platforms into a relative order to establish relative positions based on the value of the at least one environmental condition;
e. comparing the at least one value of the at least one variable of the platform motion of one of the selected floating platforms to the at least one value of the at least one variable of the platform motion of other selected floating platforms in respect to the relative positions based on the value of the at least one environmental condition to determine if the at least one value for the one platform is within a determined variance of the at least one value for the other selected floating platforms;
f. repeating step (e) for other selected floating platforms in the group; and
g. identifying any selected floating platforms with values outside the determined variance as outlier platforms.

8. The method of claim 7 , wherein step (e) further comprises comparing measured values for one or more variables for each of the selected platforms to estimated values for such variables for such platform, where the estimated values are based on one or more environmental conditions.

9. The method of claim 7 , wherein the value of the at least one environmental condition is an estimated value.

10. The method of claim 7 , further comprising:
h. evaluating a convergence in the step (g) by comparing results of values of multiple variables.

11. The method of claim 10 , further comprising:
i. repeating steps (c)-(h) if the convergence is not within a predetermined acceptable variance with a different value for at least variable.

12. The method of claim 7 , further comprising
j. identifying at least one of specific disorders in at least one of the outlier platforms compared to other platforms in the group.

13. The method of claim 7 , wherein arranging the selected floating platforms into the relative order in step (d), comprises:
d.1. determining an inline axis and transverse axis orthogonal to the environmental condition in step (a) for an initial selected floating platform i;
d.2. computing an inline distance and transverse distance between a selected floating platform i and a platform j downstream of the selected floating platform i and a wind direction for the selected floating platform j;
d.3. computing at least one reduction factor of flow speed for the selected floating platform j due to selected floating platform i based on the inline distance and transverse distance;
d.4. computing a wind speed factor by subtracting the reduction factor from 1.0, wherein the reduction factor is zero for platforms j that are not in the wake of platform i, and the wind speed factor is 1.0;
d.5. repeating steps (d.2)-(d.4) for each platform j
d.6. repeating steps (d.1)-(d.5) for each selected platform i.
d.7. computing a wind speed factor for each of the selected platforms; and
d.8. ordering the selected platforms into a sequence based on the wind speed factor to create the relative order of the platforms.

14. A system for monitoring and advising for a group of selected floating wind platforms having known positions at a baseline condition, the system comprising a data processing system configured to:
a. select a time window for the group of selected floating platforms to determine an existence of one or more anomalies in the group;
b. compute at least one value of at least one variable of a platform motion for the selected floating platforms for the selected time window;
c. compare the at least one value of the at least one variable of the platform motion of one of the selected floating platforms to the at least one value of the at least one variable of the platform motion of other selected floating platforms to determine if the at least one value for the one platform is within a determined variance of the at least one value for the other selected floating platforms;
d. repeat step (c) for other selected floating platforms in the group; and
e. identify any selected floating platforms with values outside the determined variance as outlier platforms.

15. The system of claim 14 , wherein the data processing system is further configured to consider relative locational positions of the platforms in determining any platforms as outlier platforms.

16. The method of claim 14 , wherein the data processing system is further configured to repeat step (b) for other variables of platform motion.

17. The method of claim 14 , wherein the data processing system is further configured to identify at least one of specific disorders in at least one of the outlier platforms compared to other platforms in the group.

Assignees

• Technip France
• Technip Energies France

Inventors

• Sidarta Djoni Eka
• Tcherniguin Nicolas

Classifications

• Y02E10/72

  Wind turbines with rotation axis in wind direction · CPC title

• Y02E10/727

  Offshore wind turbines · CPC title

• B63B2021/009

  Drift monitors · CPC title

• B63B2035/446

  for converting wind energy into electric energy · CPC title

• F05B2240/93

  on a structure floating on a liquid surface · CPC title