DocumentCode :
1245527
Title :
Improving power output for vibration-based energy scavengers
Author :
Roundy, Shad ; Leland, Eli S. ; Baker, Jessy ; Carleton, Eric ; Reilly, Elizabeth ; Lai, Elaine ; Otis, Brian ; Rabaey, Jan M. ; Wright, Paul K. ; Sundararajan, V.
Author_Institution :
Australian Nat. Univ., ACT, Australia
Volume :
4
Issue :
1
fYear :
2005
Firstpage :
28
Lastpage :
36
Abstract :
Pervasive networks of wireless sensor and communication nodes have the potential to significantly impact society and create large market opportunities. For such networks to achieve their full potential, however, we must develop practical solutions for self-powering these autonomous electronic devices. We´ve modeled, designed, and built small cantilever-based devices using piezoelectric materials that can scavenge power from low-level ambient vibration sources. Given appropriate power conditioning and capacitive storage, the resulting power source is sufficient to support networks of ultra-low-power, peer-to-peer wireless nodes. These devices have a fixed geometry and - to maximize power output - we´ve individually designed them to operate as close as possible to the frequency of the driving surface on which they´re mounted. In this paper, we describe these devices and present some new designs that can be tuned to the frequency of the host surface, thereby expanding the method´s flexibility. We also discuss piezoelectric designs that use new geometries, some of which are microscale (approximately hundreds of microns).
Keywords :
capacitor storage; direct energy conversion; electric generators; peer-to-peer computing; piezoelectric materials; piezoelectric transducers; ubiquitous computing; wireless sensor networks; autonomous electronic devices; capacitive storage; low-level ambient vibration sources; peer-to-peer wireless nodes; pervasive networks; piezoelectric materials; power conditioning; vibration-based energy scavengers; wireless sensor network; Batteries; Energy consumption; Frequency; Fuel cells; Geometry; Peer to peer computing; Piezoelectric materials; Piezoelectric transducers; Power conditioning; Wireless sensor networks; Energy scavenging; energy harvesting; piezoelectric materials; vibrational energy; wireless sensor networks;
fLanguage :
English
Journal_Title :
Pervasive Computing, IEEE
Publisher :
ieee
ISSN :
1536-1268
Type :
jour
DOI :
10.1109/MPRV.2005.14
Filename :
1401840
Link To Document :
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