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Data from: An Electromechanical Model of Ferroelectret for Energy Harvesting

Data from: An Electromechanical Model of Ferroelectret for Energy Harvesting
Data from: An Electromechanical Model of Ferroelectret for Energy Harvesting
Ferroelectret is a cellular polymer foam that is able to convert compressive and bending forces into electrical signals, which 10 can be used for both sensing and energy harvesting. In the past several research groups have proposed theoretical models that 11 relate the output voltage of the ferroelectret to its mechanical deformation. This is particularly useful for sensing applications 12 where the signal-to-noise ratio is important. However, for energy harvesting applications, a theoretical model needs to include 13 both the voltage across a resistive load and the duration of the electrical signal as energy is an integral of power over time. In 14 this work, we propose a theoretical model that explains the behaviour of a ferroelectret when used as an energy harvester. This 15 model can be used to predict the energy output of a ferroelectret by knowing its parameters, and therefore optimize the harvester 16 design for specific energy harvesting application.
University of Southampton
Luo, Zhenhua
eb242e50-a73e-474f-809f-4924cfed68c2
Zhu, Dibin
ec52eae1-39fa-427c-968b-e76089a464a6
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d
Luo, Zhenhua
eb242e50-a73e-474f-809f-4924cfed68c2
Zhu, Dibin
ec52eae1-39fa-427c-968b-e76089a464a6
Beeby, Stephen
ba565001-2812-4300-89f1-fe5a437ecb0d

Luo, Zhenhua, Zhu, Dibin and Beeby, Stephen (2016) Data from: An Electromechanical Model of Ferroelectret for Energy Harvesting. University of Southampton doi:10.5258/SOTON/387204 [Dataset]

Record type: Dataset

Abstract

Ferroelectret is a cellular polymer foam that is able to convert compressive and bending forces into electrical signals, which 10 can be used for both sensing and energy harvesting. In the past several research groups have proposed theoretical models that 11 relate the output voltage of the ferroelectret to its mechanical deformation. This is particularly useful for sensing applications 12 where the signal-to-noise ratio is important. However, for energy harvesting applications, a theoretical model needs to include 13 both the voltage across a resistive load and the duration of the electrical signal as energy is an integral of power over time. In 14 this work, we propose a theoretical model that explains the behaviour of a ferroelectret when used as an energy harvester. This 15 model can be used to predict the energy output of a ferroelectret by knowing its parameters, and therefore optimize the harvester 16 design for specific energy harvesting application.

Other Fig_2._waveforms.xlsx - Dataset
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Image (TIFF) Figure_5._SEM.tif - Image
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Other Fig_6._Voltage_model.xlsx - Dataset
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Other Fig_7._PP_and_PTFE_positive_peak_comparison.xlsx - Dataset
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Other Fig_8._PTFE_and_PP_1_layer_charging_comparison.xlsx - Dataset
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More information

Published date: 2016
Organisations: Electronics & Computer Science, EEE
Projects:
EPSRC IRC 'SPHERE' - a Sensor Platform for HEalthcare in a Residential Environment
Funded by: UNSPECIFIED (EP/K031910/1)
October 2013 to September 2018

Identifiers

Local EPrints ID: 387204
URI: https://eprints.soton.ac.uk/id/eprint/387204
PURE UUID: b0a629c7-ecae-4aff-8b18-5394c20d501e
ORCID for Stephen Beeby: ORCID iD orcid.org/0000-0002-0800-1759

Catalogue record

Date deposited: 10 Feb 2016 17:14
Last modified: 06 Jun 2018 13:07

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Contributors

Creator: Zhenhua Luo
Creator: Dibin Zhu
Creator: Stephen Beeby ORCID iD

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