Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1783286842072760320 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5733113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pengjun optimizationprinciplesandthefigureofmeritfortriboelectricgenerators AT kangstephendongmin optimizationprinciplesandthefigureofmeritfortriboelectricgenerators AT snydergjeffrey optimizationprinciplesandthefigureofmeritfortriboelectricgenerators |