Operating wind motors and determining their remaining useful life
A method for predicting remaining useful life of a wind or water turbine or component determines in step 116 an EOH for the turbine or component and compares this in step 118 to an EOH limit obtained in step 114 . This provides a simple approach to estimating remaining useful life, giving the turbine operator an indication of the condition of turbines or farms under management.
1. A method for operating at least one wind turbine or a component thereof, the method comprising the steps of:
(1) in advance of operation, calculating one or more EOH (Equivalent Operating Hours) coefficients according to the steps of:
(a) calculating, via a computer-implemented model, damage to the wind or water turbine or a component thereof under:
(i) rated operating conditions derived from design data; and
(ii) a plurality of historical field operating conditions of the same duration; and
(b) calculating for each field operating condition the EOH coefficient from the damage under rated conditions and the damage caused under the historical field operating conditions of the same duration, in which the EOH coefficient is a junction of the damage under rated operating conditions and damage under the historical field operating condition;
(2) during operation, receiving via one or more sensors, field operating conditions and determining an EOH for the wind or water turbine or component thereof according to the steps of:
(a) providing EOH coefficients relating to each of the field operating conditions;
(b) calculating the EOH from the field operating conditions and the one or more EOH coefficients relating to the one or more field operating conditions; and
(c) determining a value for the remaining useful life of the wind or water turbine or component thereof by comparing the EOH and an EOH limit;
(3) adjusting al least one operational setting based on the remaining useful life, the operational setting comprising at least one of: investigating for damage to the rotating machine or component thereof, scheduling maintenance of the wind or water turbine or component thereof; refurbishing the wind or water turbine or component thereof; or replacing the wind or water turbine or component thereof.
2. The method according to claim 1 , in which the computer-implemented model is one or more models selected from the group consisting of:
a bearing skidding model;
a dynamic model;
a life model;
a nominal model of a gearbox, drive-train and/or generator of the wind or water turbine;
a model unique to u spec ille gearbox, drive-train and/or generator of the wind or water turbine including information on one or more manufacturing variations of one or mom components of the gearbox, drive-train and/or generator;
a fully coupled Unite element model comprising nodes with six degrees of freedom unique to a gearbox, drive-train and/or generator of the wind or water turbine; and
one or more meta-models, wherein the one or more meta-models are specific for each of the one or mom components.
3. The method according to claim 1 , in which the EOH coefficient is:
a function of a ratio of damage under rated operating conditions to damage under field operating conditions of the same duration; or
a ratio of damage under rated operating conditions to damage under field operating conditions of the same duration.
4. The method according to claim 1 , additionally comprising the step of setting thresholds for operating data according to one or more ranges of EOH values.
5. The method according to claim 1 , in which the operating data is vibration data.
6. The method according to claim 1 , in which identifying a wind or water turbine or component thereof for maintenance comprises identifying a wind or water turbine or component thereof in which the operating data is greater than the threshold.
7. A computer readable product comprising code means designed for implementing the steps of the method according to claim 1 .