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Data for Characterisation of aeroelastic harvester efficiency by measuring transient growth of oscillations
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Tucker Harvey, Sam, Khovanov, I. A., Murai, Yuichi and Denissenko, Petr (2020) Data for Characterisation of aeroelastic harvester efficiency by measuring transient growth of oscillations. [Dataset]
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Abstract
With growing demand for small autonomous electrical devices, such as those in wireless sensor networks, energy harvesting has attracted interest with the promise of low maintenance and sustainable power sources. Galloping energy harvesters utilise the fluid-structure interaction to transform kinetic energy in fluid flow into electrical energy. The performance of galloping energy harvesters depends on the geometry of the tip, with the structure of the flow around the tip defining the nature of fluid-structure interaction and hence the potential efficiency of the device.
In this work the curved blade tip geometry is investigated. To experimentally characterise the performance of the harvester, a method utilising the free oscillation transient is developed. The method avoids implementation of a transduction mechanism and hence optimisation of the associated parameters. The developed method is generic and can be applied to other energy generators.
The power coefficient of curved blades of different curvatures is measured and the optimal range identified. The maximum coefficient of performance of the curved blade harvester occurs at tip speed ratios from 0.32 to 0.74 and reaches 0.08, which is 3 to 4 times lower than Savonius turbines, the best performing devices at similar Reynolds numbers. The square prism geometry is used as a comparator and found to have a coefficient of performance 10 times less than the curved blade. Flow visualisations confirm the curved blade to act as an airfoil in the highest performing cases, hence future tip shapes should be developed to promote flow attachment.
| Item Type: | Dataset | |||||||||
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| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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| Divisions: | Faculty of Science > Engineering | |||||||||
| Type of Data: | Experimental data | |||||||||
| Library of Congress Subject Headings (LCSH): | Aeroelasticity, Energy harvesting, Microharvesters (Electronics) , Oscillations, Wind turbines -- Aerodynamics, Turbines -- Blades | |||||||||
| Publisher: | School of Engineering | |||||||||
| Official Date: | 20 April 2020 | |||||||||
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| Status: | Not Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Media of Output: | .csv | |||||||||
| Access rights to Published version: | Open Access | |||||||||
| Copyright Holders: | University of Warwick | |||||||||
| Description: | Data record consists of a zip archive containing the raw csv data, organised into subfolders according to Figure in the corresponding publication, and an accompanying readme file. |
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