A tuneable pressure-based energy harvester for powering the environmental internet of things
A tuneable pressure-based energy harvester for powering the environmental internet of things
As the internet of things expands to more remote locations, solutions are required for long-term remote powering of environmental sensing devices. In this publication, a device is presented which utilises the slow-moving diurnal temperature change present in many natural environments to produce electrical energy. This device utilises a novel actuator which harnesses temperature-dependent phase change to provide a variable force output, and this is combined with energy storage and release apparatus to convert the output force into electrical energy. Appropriate modelling is utilised to identify parameters for system tuning, and a final proof-of-concept solution is constructed and demonstrated to generate up to 10 mJ per 24 h period.
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Curry, Joshua Sebastian
0938e6ab-9506-4b26-bcac-0bf03d43f974
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
15 November 2022
Harris, Nicholas
237cfdbd-86e4-4025-869c-c85136f14dfd
Curry, Joshua Sebastian
0938e6ab-9506-4b26-bcac-0bf03d43f974
White, Neil
c7be4c26-e419-4e5c-9420-09fc02e2ac9c
Harris, Nicholas, Curry, Joshua Sebastian and White, Neil
(2022)
A tuneable pressure-based energy harvester for powering the environmental internet of things.
Micromachines, 13 (11).
(doi:10.3390/mi13111973).
Abstract
As the internet of things expands to more remote locations, solutions are required for long-term remote powering of environmental sensing devices. In this publication, a device is presented which utilises the slow-moving diurnal temperature change present in many natural environments to produce electrical energy. This device utilises a novel actuator which harnesses temperature-dependent phase change to provide a variable force output, and this is combined with energy storage and release apparatus to convert the output force into electrical energy. Appropriate modelling is utilised to identify parameters for system tuning, and a final proof-of-concept solution is constructed and demonstrated to generate up to 10 mJ per 24 h period.
Text
micromachines-1969040 (2)
- Accepted Manuscript
Text
micromachines-13-01973-v2
- Version of Record
More information
Accepted/In Press date: 4 November 2022
Published date: 15 November 2022
Identifiers
Local EPrints ID: 472213
URI: http://eprints.soton.ac.uk/id/eprint/472213
ISSN: 2072-666X
PURE UUID: ef097061-671c-4b06-a117-fdfbc81c19bd
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Date deposited: 29 Nov 2022 17:49
Last modified: 17 Mar 2024 03:54
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Author:
Nicholas Harris
Author:
Joshua Sebastian Curry
Author:
Neil White
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