Ultra-low frequency multidirectional harvester for wind turbines
Carlos Castellano-Aldave,
Alfonso Carlosena,
Xabier Iriarte and
Aitor Plaza
Applied Energy, 2023, vol. 334, issue C, No S030626192300079X
Abstract:
In this paper we propose, and demonstrate through a prototype, a completely novel device able to harvest mechanical energy from the multidirectional vibrations in a wind turbine, and convert it into electrical, to power autonomous sensors. The application is very challenging since vibrations are of ultra-low frequency, well below 1 Hz, with accelerations of tenths of cm/s2 (0.01 g), and the device must capture energy from the movement in any direction. According to our experiments, the device is capable to generate average powers around the milliwatt in the operation conditions of a wind turbine, which are enough for some very-low power sensor nodes, or at least to considerably extend the life-time of batteries. The device is based on the principle of moving (inertial) masses comprised of magnets in Hallbach arrays interacting with coils, and can work for movements on any direction of a plane. To the best of our knowledge, this is the first device specifically proposed for wind turbines and one of the few that work in such low frequencies, and capture energy from movements on any direction on a plane. Only three harvesters proposed in the literature, intended for distinct applications, can work at such low frequencies, and our device exhibits a better efficiency. Though comparisons with harvesters working in different contexts and, even using different conversion principles, is not completely fair, we make in this paper a comparison to the closest ones, resorting to two different figures of merit.
Keywords: Energy Harvesting; Vibration-to-Electrical Energy Conversion; Electromagnetic Transduction; Ultra-low frequency; Autonomous Sensors; Wind Turbines (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:334:y:2023:i:c:s030626192300079x
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DOI: 10.1016/j.apenergy.2023.120715
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