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Optimization principles and the figure of merit for triboelectric generators

Energy harvesting with triboelectric nanogenerators is a burgeoning field, with a growing portfolio of creative application schemes attracting much interest. Although power generation capabilities and its optimization are one of the most important subjects, a satisfactory elemental model that illust...

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Detalles Bibliográficos
Autores principales: Peng, Jun, Kang, Stephen Dongmin, Snyder, G. Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733113/
https://www.ncbi.nlm.nih.gov/pubmed/29255804
http://dx.doi.org/10.1126/sciadv.aap8576
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author Peng, Jun
Kang, Stephen Dongmin
Snyder, G. Jeffrey
author_facet Peng, Jun
Kang, Stephen Dongmin
Snyder, G. Jeffrey
author_sort Peng, Jun
collection PubMed
description Energy harvesting with triboelectric nanogenerators is a burgeoning field, with a growing portfolio of creative application schemes attracting much interest. Although power generation capabilities and its optimization are one of the most important subjects, a satisfactory elemental model that illustrates the basic principles and sets the optimization guideline remains elusive. We use a simple model to clarify how the energy generation mechanism is electrostatic induction but with a time-varying character that makes the optimal matching for power generation more restrictive. By combining multiple parameters into dimensionless variables, we pinpoint the optimum condition with only two independent parameters, leading to predictions of the maximum limit of power density, which allows us to derive the triboelectric material and device figure of merit. We reveal the importance of optimizing device capacitance, not only load resistance, and minimizing the impact of parasitic capacitance. Optimized capacitances can lead to an overall increase in power density of more than 10 times.
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spelling pubmed-57331132017-12-18 Optimization principles and the figure of merit for triboelectric generators Peng, Jun Kang, Stephen Dongmin Snyder, G. Jeffrey Sci Adv Research Articles Energy harvesting with triboelectric nanogenerators is a burgeoning field, with a growing portfolio of creative application schemes attracting much interest. Although power generation capabilities and its optimization are one of the most important subjects, a satisfactory elemental model that illustrates the basic principles and sets the optimization guideline remains elusive. We use a simple model to clarify how the energy generation mechanism is electrostatic induction but with a time-varying character that makes the optimal matching for power generation more restrictive. By combining multiple parameters into dimensionless variables, we pinpoint the optimum condition with only two independent parameters, leading to predictions of the maximum limit of power density, which allows us to derive the triboelectric material and device figure of merit. We reveal the importance of optimizing device capacitance, not only load resistance, and minimizing the impact of parasitic capacitance. Optimized capacitances can lead to an overall increase in power density of more than 10 times. American Association for the Advancement of Science 2017-12-15 /pmc/articles/PMC5733113/ /pubmed/29255804 http://dx.doi.org/10.1126/sciadv.aap8576 Text en Copyright © 2017 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Research Articles
Peng, Jun
Kang, Stephen Dongmin
Snyder, G. Jeffrey
Optimization principles and the figure of merit for triboelectric generators
title Optimization principles and the figure of merit for triboelectric generators
title_full Optimization principles and the figure of merit for triboelectric generators
title_fullStr Optimization principles and the figure of merit for triboelectric generators
title_full_unstemmed Optimization principles and the figure of merit for triboelectric generators
title_short Optimization principles and the figure of merit for triboelectric generators
title_sort optimization principles and the figure of merit for triboelectric generators
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5733113/
https://www.ncbi.nlm.nih.gov/pubmed/29255804
http://dx.doi.org/10.1126/sciadv.aap8576
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