Enhancing Power Harvesting using a Tuned Auxiliary Structure

Cornwell, Phillip; Goethal, J.; Kowko, J.; Damianakis, M.

doi:10.1177/1045389x05055279

Cited by 121 publications

(66 citation statements)

References 12 publications

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“…The performance of the proposed harvester is compared to the results of existing research studies which implement their harvesters in a cantilever system under a similar range of excitation frequency and acceleration. The existing research works [35][36][37][38][39][40][41][42] produced a volume power density of (0.9 × 10 −2 -20 × 10 −2 ) µW/mm 3 under the excitation frequency of (1.4-100) Hz and the acceleration of (0.2-10) ms −2 . The current work produces a power density of 0.10 µW/mm −3 at a frequency and acceleration of 30 Hz and 0.4 ms −2 , respectively.…”

Section: Resistance (Kω)mentioning

confidence: 99%

Energy Harvesting Based on a Novel Piezoelectric 0.7PbZn0.3Ti0.7O3-0.3Na2TiO3 Nanogenerator

et al. 2017

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Abstract:Recently, piezoelectric materials have achieved remarkable attention for charging wireless sensor nodes. Among piezoelectric materials, non-ferroelectric materials are more cost effective because they can be prepared without a polarization process. In this study, a non-ferroelectric nanogenerator was manufactured from 0.7PbZn 0.3 Ti 0.7 O 3 -0.3Na 2 TiO 3 (PZnT-NT). It was demonstrated that the increment of conductivity via adding the Na 2 TiO 3 plays an essential role in increasing the permittivity of the non-ferroelectric nanogenerator and hence improved the generated power density. The dielectric measurements of this material demonstrated high conductivity that quenched the polarization phase. The performance of the device was studied experimentally over a cantilever test rig; the vibrating cantilever (0.4 ms −2 ) was excited by a motor operated at 30 Hz. The generated power successfully illuminated a light emitting diode (LED). The PZnT-NT nanogenerator produced a volume power density of 0.10 µw/mm 3 and a surface power density of 10 µw/cm 2 . The performance of the proposed device with a size of (20 × 15 × 1 mm 3 ) was higher in terms of power output than that of the commercial microfiber composite (MFC) (80 × 57 × 0.335 mm 3 ) and piezoelectric bimorph device (70 × 50 × 0.7 mm 3 ). Compared to other existing ferroelectric and non-ferroelectric nanogenerators, the proposed device demonstrated great performance in harvesting the energy at low acceleration and in a low frequency environment.

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Section: Resistance (Kω)mentioning

confidence: 99%

Energy Harvesting Based on a Novel Piezoelectric 0.7PbZn0.3Ti0.7O3-0.3Na2TiO3 Nanogenerator

et al. 2017

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“…Cornwell et al [51] adjusted various mechanical parameters, including the resonant frequency and the location of a harvester, to maximize the strain induced in the piezoelectric element and to improve power output. The power generation was increased by a factor of 25, if the frequency of the harvesting device was well-tuned to that of a structure.…”

Section: Energy Reservoirs Scavenged Power Sourcesmentioning

confidence: 99%

Energy Harvesting for Structural Health Monitoring Sensor Networks

Park¹,

Farrar²,

Todd³

et al. 2007

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This paper reviews the development of energy harvesting for low-power embedded structural health monitoring (SHM) sensing systems. A statistical pattern recognition paradigm for SHM is first presented and the concept of energy harvesting for embedded sensing systems is addressed with respect to the data acquisition portion of this paradigm. Next, various existing and emerging sensing modalities used for SHM and their respective power requirements are summarized followed by a discussion of SHM sensor network paradigms, power requirements for these networks and power optimization strategies. Various approaches to energy harvesting and energy storage are discussed and limitations associated with the current technology are addressed. The paper concludes by defining some future research directions that are aimed at transitioning the concept of energy harvesting for embedded SHM sensing systems from laboratory research to field-deployed engineering prototypes. Finally, it is noted that much of the technology discussed herein is applicable to powering any type of low-power embedded sensing system regardless of the application.

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“…al have concluded that power generation through walking can easily generate power when needed, and 5-8W of power may be recovered 1 Values are estimates from literatures, analyses and few experiments; Values are highly dependent on amplitude and frequency of the driving vibrations 2 There were already many successful vibration harvesting devices reported of different structures and interface circuits [7,16,17]. Piezoelectric material that has been found to have the ability to convert vibration energy to electric power has sparked much attention as it was attractive for use in MEMS applications [16,18,19,20,21,22].…”

Section: Literature Reviewmentioning

confidence: 99%