Importance

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Abstract

A service planning engine may predict the future wind speed at a wind farm as well as the future price of energy of the utility grid coupled to the wind turbines. Based on the predicted values, the service planning engine identifies times to perform maintenance when lost revenue is minimized—e.g., when the predicted price of energy is low. Furthermore, the service planning engine may calculate a service priority associated with the turbine to determine when to perform service. The service priority may be based on a status signal associated with the component to be serviced or the time window stipulated in the service contract for performing the maintenance. In one embodiment, the service planning engine also considers resource constraints such as labor costs (e.g., work schedules, overtime costs, availability of technicians with certain skills, availability of components, shipping costs, and the like).

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First Claim