F03D80/507

SYSTEM AND METHOD FOR REFURBISHING A WIND TURBINE
20250250966 · 2025-08-07 ·

A system (100) for refurbishing an original wind turbine is provided. The system (100) comprises at least one processor (210) configured to: retrieve the average wind speed at the wind turbine site; determine suitable dimensions for a refurbished wind turbine (100) adapted for the wind turbine site; determine which parts of the original wind turbine that could be re-used and still obtain the determined dimensions for the refurbished wind turbine (100); for each part of the original wind turbine that could be re-used, calculate the expected remaining lifetime of said part; if said expected remaining lifetime is above a predetermined minimum lifetime, determine that said part can be re-used in the refurbished wind turbine (100); and select, from a database of replacement wind turbine parts, parts to use instead of the parts needing to be replaced for refurbishing the original wind turbine. Further, a method (400) for refurbishing an original wind turbine is provided.

Servicing of a wind turbine component
20250223948 · 2025-07-10 ·

A method of servicing a wind turbine component of a wind turbine is provided. The wind turbine component is a main component (120) that comprises a first subcomponent (10) and one or more second subcomponents (20), wherein the first subcomponent (10) comprises a subcomponent memory (11) storing component information. The component information comprises information that is specific to the main component (120) of the wind turbine (100). The method comprises reading out at least a portion of the subcomponent memory (11) of a malfunctioning first subcomponent (10) of the main component (120) to obtain the component information of the malfunctioning first subcomponent (10) and writing at least a part of the component information to a subcomponent memory (31) of a replacement subcomponent (30) provided for replacing the malfunctioning first subcomponent (10). The component information is written over a communication link established to the replacement subcomponent (30).

System and methods for using machine learning to make intelligent recycling decisions

A device may receive historical operational data for a mechanical system, such as a rotor blade of a wind turbine. The device may determine one or more quality grades for each of one or more materials of the system, e.g., the rotor blade. The one or more quality grades may be determined by using a data model to process the historical operational data. The data model may be trained using machine learning based on one or both of historical operational data for similar systems, e.g., other rotor blades, and end-of-life (EOL) testing data for the same. The device may determine a recycling recommendation based on the one or more quality grades. The recycling recommendation may include instructions relating to recycling the one or more materials. The device may deliver the recycling recommendation to another device or recipient.

Photovoltaic installation
12620925 · 2026-05-05 · ·

The invention relates to a photovoltaic module (16) comprising at least one recycled blade of a horizontal axis wind turbine or a section of a recycled blade of a horizontal-axis wind turbine which forms a beam (25), characterised by a plurality of cross-members (26) secured to the beam (25), each cross-member bearing photovoltaic panels (18).