4.8 Article

Omnidirectional wind energy harvester for self-powered agro-environmental information sensing

期刊

NANO ENERGY
卷 91, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.nanoen.2021.106686

关键词

Triboelectric nanogenerator; Self-powered sensor; Wind speed and direction; Cellulose; Intelligent agriculture

资金

  1. National Natural Science Foundation of China [U20A2019]

向作者/读者索取更多资源

Real-time monitoring of wind vector, including speed and direction, is crucial for crop management in agricultural environment. Traditional wind vector sensors face challenges such as large size, low accuracy, and lack of energy supply, necessitating the development of super-sensitive sensors without external power supply. This study introduces a slit-effect-enabled TENG for wind energy harvesting and self-powered wind vector monitoring, demonstrating its potential in intelligent agriculture.
Real-time monitoring of the wind vector, including wind speed and direction, is significant for crop management and production in agricultural environment. However, traditional wind vector sensors are difficult to meet the needs of modern sustainable agriculture due to their considerable size, low accuracy, and lack of energy supply. Hence, there is a great need for wind vector sensors that can respond super-sensitively to environmental stimuli without external power supply. Herein, a transparent and degradable hydroxyethyl cellulose film was introduced to fabricate a triboelectric nanogenerator (TENG) based on the slit effect for wind energy harvesting and self-powered wind vector monitoring. The maximum output voltage of slit-effect-enabled TENG (SE-TENG) is up to similar to 600 V under a wind speed of 7 m/s, and various agricultural sensors can be continuously driven. Furthermore, an omnidirectional wind energy harvester (OWEH) composed of eight SE-TENGs and an electrometer data-acquisition board was assembled to monitor the wind directions and speed ranging from 0.5 to 10 m/s accurately. This work poses an effective and green method for wind vector monitoring in agricultural environment and demonstrates the potential of TENG technology in intelligent agriculture.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据