
Proceedings Paper
Energy harvesting from acoustic fields for self-powered sensors in pumped fluid systemsFormat | Member Price | Non-Member Price |
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Paper Abstract
Energy harvesting from an acoustic field is challenging given the low energy density available in most acoustic phenomena. A notable exception is in the domain of pumped, pressurized fluids, where acoustic pressure amplitudes may be on the order of 5~10% of the mean static pressure, in some applications reaching mega-pascal amplitudes, corresponding to acoustic intensities advantageous for energy harvesting. However, the static pressures that are common within pressurized systems require mechanically robustness for pressure containment, which prevents the use of common energy harvester configurations. Nonetheless, energy densities may be high enough such that non-resonant configurations are feasible; and, the fact that the acoustic pressure within pumped systems typically has a relatively narrow band spectrum means that power conditioning circuits may be optimized for power conversion. With power available from the pumped fluid itself, through what is termed a Hydraulic Pressure Energy Harvester, it then becomes possible to implement self-powered wireless sensing nodes. This paper describes a proof-of-concept HPEH implementation and demonstration of a multi-functional self-powered wireless sensor for use in a hydraulic application.
Paper Details
Date Published: 12 April 2017
PDF: 8 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 1016824 (12 April 2017); doi: 10.1117/12.2260442
Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)
PDF: 8 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 1016824 (12 April 2017); doi: 10.1117/12.2260442
Show Author Affiliations
Forest J. Schwartz, Georgia Institute of Technology (United States)
Ellen A. Skow, Georgia Institute of Technology (United States)
Ellen A. Skow, Georgia Institute of Technology (United States)
Alper Erturk, Georgia Institute of Technology (United States)
Kenneth A. Cunefare, Georgia Institute of Technology (United States)
Kenneth A. Cunefare, Georgia Institute of Technology (United States)
Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)
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