Vestas Wind Systems has been granted a patent for a wind turbine design that includes a resonator module to reduce vibrations. The resonator module is designed to vibrate at a specific wavelength to reflect a partial sine wave motion back to the component, minimizing vibrations. GlobalData’s report on Vestas Wind Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Vestas Wind Systems, Aerial inspection drones was a key innovation area identified from patents. Vestas Wind Systems's grant share as of February 2024 was 54%. Grant share is based on the ratio of number of grants to total number of patents.
Wind turbine with resonator module reflecting partial sine wave motion
A recently granted patent (Publication Number: US11929055B2) discloses a wind turbine design that incorporates a resonator module to mitigate vibrations. The wind turbine comprises a vibration source, a component that receives the vibration, and a resonator module that vibrates at a specific frequency to counteract the vibrations. The resonator module is strategically coupled to the component at a specific location to reflect a partial sine wave motion back to the component, effectively reducing vibrations.
The patent details various configurations and applications of the wind turbine design, including coupling the resonator module to the component using magnetic or adhesive means, utilizing connection modules for easy installation and removal, and incorporating multiple resonator modules for different resonant frequencies. Additionally, the patent covers the installation method for the resonator module, which involves identifying the component's resonant frequency, selecting the appropriate resonator module, and coupling it at the optimal location. Numerical simulations are recommended to determine the resonant frequency and coupling position accurately, ensuring effective vibration reduction in the wind turbine.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
