Super‐Durable, Low‐Wear, and High‐Performance Fur‐Brush Triboelectric Nanogenerator for Wind and Water Energy Harvesting for Smart Agriculture

摩擦电效应 纳米发生器 刷子 材料科学 磨损(机械) 能量收集 汽车工程 相对湿度 风速 电气工程 能量(信号处理) 可再生能源 风力发电 复合材料 工程类 压电 气象学 物理 统计 热力学 数学
作者
Pengfei Chen,Jie An,Sheng Shu,Renwei Cheng,Jinhui Nie,Tao Jiang,Zhong Lin Wang
出处
期刊:Advanced Energy Materials [Wiley]
卷期号:11 (9) 被引量:333
标识
DOI:10.1002/aenm.202003066
摘要

Abstract The triboelectric nanogenerator (TENG), as a promising energy harvesting technology, provides a new approach for the realization of the Internet of Things (IoTs). However, material abrasion severely limits its practical applications because of the deterioration in mechanical durability and electrical stability. Here, naturally available animal furs are introduced, owing to their superiorities of extremely low wear, high performance and humidity resistance. More than 10 times the electric output is observed relative to the conventional TENG, even at low driving torque. The transferred charge of fur‐brush TENG (FB‐TENG) exhibits only 5.6% attenuation after continuous operation for 300 000 cycles, maintaining high output performance even if the relative humidity increases up to 90%. Furthermore, a counter‐rotating structure is first designed to further increase the output by doubling the relative rotation speed. Based on this mechanism, a significantly elevated output current of 36.6% is obtained in ambient conditions. Finally, self‐powered automatic irrigation, weather monitoring and wireless water level warning multifunctional management systems are realized by collecting the wind and water flow energy. This work provides a strategy of reducing wear on the premise of high performance, which lays a foundation for effective environmental energy harvesting toward practical applications in big data and the IoTs.
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
田様应助友好的谷兰采纳,获得10
1秒前
脑洞疼应助璟柠采纳,获得10
1秒前
星辰大海应助Emily采纳,获得10
2秒前
XFF发布了新的文献求助10
2秒前
若黎完成签到,获得积分10
2秒前
泰山球迷发布了新的文献求助10
3秒前
小牛完成签到,获得积分10
4秒前
英吉利25发布了新的文献求助10
4秒前
科目三应助若黎采纳,获得10
5秒前
6秒前
8秒前
FashionBoy应助Billy采纳,获得15
9秒前
10秒前
洞两发布了新的文献求助10
10秒前
atmosphere完成签到 ,获得积分10
10秒前
10秒前
13秒前
在水一方应助初景采纳,获得10
13秒前
14秒前
田様应助怀民已就寝采纳,获得10
15秒前
NexusExplorer应助怀民已就寝采纳,获得10
15秒前
科研通AI6.3应助密钥采纳,获得10
15秒前
Liulu发布了新的文献求助10
15秒前
15秒前
斯文败类应助zoey采纳,获得10
15秒前
顾矜应助怀民已就寝采纳,获得10
15秒前
天天发布了新的文献求助20
16秒前
华仔应助怀民已就寝采纳,获得10
16秒前
科研通AI6.2应助长江长采纳,获得10
17秒前
winter_solstice完成签到,获得积分20
17秒前
18秒前
18秒前
冷傲的夜白完成签到,获得积分10
19秒前
19秒前
高高向松发布了新的文献求助10
21秒前
洞两完成签到,获得积分10
21秒前
zhugj完成签到,获得积分10
23秒前
Billy发布了新的文献求助15
23秒前
23秒前
23秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 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 7602986
求助须知:如何正确求助?哪些是违规求助? 9178964
关于积分的说明 19657254
捐赠科研通 7178259
什么是DOI,文献DOI怎么找? 3269121
关于科研通互助平台的介绍 2433276
邀请新用户注册赠送积分活动 2262961