A Turbine Provided with Data for Parameter Improvement

    公开(公告)号:US20240117791A1

    公开(公告)日:2024-04-11

    申请号:US18276229

    申请日:2022-02-09

    发明人: Theodore HOLTOM

    IPC分类号: F03D17/00

    CPC分类号: F03D17/011 F03D17/003

    摘要: Turbines, including fluid driven turbines, including wind turbines, do not always operate to their maximum capability due to sub-optimal selection of various possible parameters. Therefore there is industrial advantage in systems which can calculate, adjust or constrain such parameters in order to improve the productivity of turbines. New data also allows for new control methodologies. Such systems may be established through the provision of relevant data. The overall productivity of turbines may be improved, or increased, by extending the lifetime of the turbine, or by increasing the average power output during its lifetime, or reducing maintenance costs. One particular example of turbine under-performance has been observed by the present author for wind turbines operating in hilly terrain such as frequently found on Scottish wind farms but also in many locations around the world. Hilly terrain, or complex terrain, results in complex wind flow and energy production losses when control systems are not best designed to handle such flow. Although complex flow may arise for other reasons, such as complex weather or storms (both onshore and offshore), the complex flow due to complex terrain is always present for many turbines and therefore impacts productivity throughout their operational lifetime. Complex fluid flow data may be measured by instruments including converging beam Doppler LIDAR which is especially advantageous in providing three-dimensional fluid velocity data. Therefore the provision of data allows for control parameter adjustment to account for operational variables including fluid characteristics. Therefore the control parameters may be adjusted in order to better control a turbine for its local conditions. This allows for greater generation of renewable energy. Derivations thereof may also be applied to improve operational parameters of vehicles, including vehicles incorporating a rotor, as well as aircraft and spacecraft launching or operating within a fluid. This offers better vehicle control and improved safety.

    METHOD AND EQUIPMENT FOR DETERMINING AN ESTIMATED LIFE AND REMAINING USEFUL LIFE OF A MECHANICAL DEVICE

    公开(公告)号:US20240248073A1

    公开(公告)日:2024-07-25

    申请号:US18409888

    申请日:2024-01-11

    申请人: Aktiebolaget SKF

    IPC分类号: G01N33/28 F03D17/00

    摘要: A method for determining an estimated life of a mechanical device includes (1) acquiring a load spectrum of the mechanical device within a predetermined time range; (2) acquiring a lubricant state of the mechanical device within the predetermined time range; (3) determining a plurality of operating states experienced by the mechanical device within the predetermined time range based on the acquired load spectrum and the acquired lubricant state, and (4) determining an estimated life of the mechanical device based on the plurality of operating states of the mechanical device within the predetermined time range. Each operating state corresponds to a particular range of load values in the load spectrum and a particular degree of contamination in the lubricant state. The method may also determine the remaining useful life of a mechanical device. The method may be implemented in a device for determining the estimated life of a mechanical device.

    SYSTEM AND METHODS FOR USING MACHINE LEARNING TO MAKE INTELLIGENT RECYCLING DECISIONS

    公开(公告)号:US20240257079A1

    公开(公告)日:2024-08-01

    申请号:US18425000

    申请日:2024-01-29

    IPC分类号: G06Q10/30 B09B3/35 F03D17/00

    摘要: 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.

    DETERMINATION OF A STATE OF A WIND TURBINE BLADE

    公开(公告)号:US20240044314A1

    公开(公告)日:2024-02-08

    申请号:US18364592

    申请日:2023-08-03

    IPC分类号: F03D17/00

    摘要: The present disclosure is related to methods (400; 500; 600) configured for detecting the state of a wind turbine blade (22). The methods (400; 500; 600) comprising receiving (401; 501) load signals from a wind turbine blade (22), determining (402; 503) an energy of the load signal in a first and second frequency and comparing (403; 504) said energy to generate a flag signal if the energy in the first frequency is smaller than the energy in the second frequency. A control system (600) suitable to detect the state of a wind turbine blade (22) is also provided, as well as wind turbines (10) including such a control system (600).