Three-dimensional graphene foam based triboelectric nanogenerators for energy systems and autonomous sensors

摩擦电效应 材料科学 石墨烯 电极 能量收集 接触电阻 光电子学 电压 复合材料 机械能 内阻 图层(电子) 功率(物理) 纳米技术 电气工程 物理 量子力学 化学 工程类 物理化学 电池(电)
作者
Emma Keel,Ammara Ejaz,Michael Mckinlay,Manuel Pelayo García,Marco Caffio,D. R. Gibson,C. García‐Núñez
出处
期刊:Nano Energy [Elsevier BV]
卷期号:112: 108475-108475 被引量:14
标识
DOI:10.1016/j.nanoen.2023.108475
摘要

In this work we investigate the potential of three-dimensional graphene (3DG) foam as an active layer in triboelectric nanogenerators (TENGs) and as an energy harvesting power source for autonomous sensors. A series of comprehensive measurements have been carried out to test the output characteristics of 3DG-TENG under cyclic mechanical stimulus, capable of operating TENG in contact-separation mode at different frequencies, gap distances between electrodes, and applied pressures. The triboelectric response of 3DG-TENG (with an effective surface of 16 cm2) showed maximum open-circuit voltage (Voc) and short-circuit current (Isc) of 400 V and 105.7 μA respectively when stimulated at 3 Hz (contact-separation frequency) and 70 mm (optimum gap distance). Under the same conditions, a maximum output power (Pout) of around 10.37 W/m2 is produced using an external load resistance of 40 MΩ; this is an order of magnitude lower resistance than that needed with other graphene based TENG variants. 3DG-TENG exhibited great stability in the output characteristics with 15,000 cyclic mechanical stimuli and a retention percentage in Pout above 95%. This is a significant improvement with respect to other carbon based TENG`s, which show enhanced deterioration of TENG performance due to material transfer between electrodes and plastic deformation of triboelectric materials. Simulations of TENG Voc using distance dependent model determined high triboelectric charge densities in the range of mC/m2. Here, we also demonstrate the potential of 3DG-TENG as an energy supply for energy storage devices, and as an active layer in an autonomous pressure sensing platform for anonymous room occupancy monitoring in smart buildings.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
勇闯天涯发布了新的文献求助10
1秒前
李健的粉丝团团长应助66采纳,获得10
2秒前
2秒前
丘比特应助zhuzhuzhu1024采纳,获得10
3秒前
4秒前
4秒前
4秒前
..完成签到,获得积分10
5秒前
1111完成签到,获得积分10
6秒前
6秒前
6秒前
浅见春子发布了新的文献求助10
6秒前
cdercder应助yf采纳,获得10
7秒前
刘雪完成签到 ,获得积分10
7秒前
7秒前
7秒前
hbw发布了新的文献求助30
7秒前
星星火发布了新的文献求助30
8秒前
8秒前
9秒前
时衍发布了新的文献求助10
10秒前
啊啊啊啊啊完成签到 ,获得积分10
10秒前
上官若男应助柯惮采纳,获得10
10秒前
12秒前
znn完成签到,获得积分10
13秒前
13秒前
13秒前
snowing发布了新的文献求助10
13秒前
71发布了新的文献求助10
13秒前
慕青应助浅见春子采纳,获得10
14秒前
asia发布了新的文献求助10
14秒前
超人杰发布了新的文献求助10
14秒前
我是老大应助Pr采纳,获得10
15秒前
15秒前
单竹留下了新的社区评论
16秒前
LYegoist完成签到,获得积分10
17秒前
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
The Effective Clinical Neurologist 3ed 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7715127
求助须知:如何正确求助?哪些是违规求助? 9270348
关于积分的说明 20081579
捐赠科研通 7291482
什么是DOI,文献DOI怎么找? 3298404
关于科研通互助平台的介绍 2452571
邀请新用户注册赠送积分活动 2305841