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Data for A galloping energy harvester with flow attachment

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Harvey, Sam, Khovanov, Igor A. and Denissenko, Petr (2019) Data for A galloping energy harvester with flow attachment. [Dataset]

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Abstract

Aeroelastic energy harvesters are a promising technology for powering wireless sensors and microelectromechanical systems. In this letter, we present a harvester inspired by the trembling of aspen leaves in barely noticeable winds. The galloping energy harvester, a curved blade oriented perpendicular to the flow, is capable of producing self-sustained oscillations at uncharacteristically low wind speeds. The dynamics of the harvesting system are studied experimentally and compared to a lumped parameter model. Numerical simulations quantitatively describe the experimentally observed dynamic behaviour. Flow visualisation is performed to investigate the patterns generated by the device. Dissimilar to many other galloping harvester designs, the flow is found to be attached at the rear surface of the blade when the blade is close to its zero displacement position, hence acting more closely to aerofoils rather than to conventionally used bluff bodies. Simulations of the device combined with a piezoelectric harvesting mechanism predict higher power output than that of a device with the square prism.

Item Type: Dataset
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Engineering
Type of Data: Experimental data
Library of Congress Subject Headings (LCSH): Energy harvesting, Wireless sensor networks
Publisher: School of Engineering, University of Warwick
Official Date: 14 March 2019
Dates:
DateEvent
14 March 2019Published
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .tif .csv .txt
Copyright Holders: University of Warwick
Description:

All data is in CSV format with headings. Raw motion tracking videos and data are available on request due to size, please contact s.w.tucker-harvey@warwick.ac.uk for further details.

Figure 3: Raw Images for Presented Flow Visualisations

Raw flow visualisation images used for calculating velocity field via PIV.

Figure 5: Normalised Velocity Amplitude vs Reduced Velocity

All results are dimensionless. blade_experimental_a.csv - blade_experimental_d.csv correspond to different experimental runs.

Figure 6: Angle of Attack Amplitude vs Reduced Velocity

Angle of attack is presented in degress, reduced velocity is dimensionless. blade_experimental_a.csv - blade_experimental_d.csv correspond to different experimental runs.

Figure 7: Force Coefficients

Angle of attack is presented in degrees, while force coefficients are dimensionless. Statically measured lift, drag and Cy coefficients are tabulated.

Figure 7: Harvested Power Simulation Results

Power is presented in Wm^-2 while reduced velocity is dimensionless.

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/N509796/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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