基于 triboelectric 纳米发电机和微热电发电机的传输线路的自动供电冰增长传感系统
Yingli Lu1, Changxin Liu1, Yi Wang1
1Marine Engineering College, Dalian Maritime University, Dalian 116000, PR China. liu_changxin@dlmu.edu.cn.
Nanoscale
|April 16, 2025
概括
本研究介绍了一种使用 triboelectric纳米发电机 (TENG) 和微热电发电机 (MTEG) 进行实时传输线冰监测的自动供电系统. 创新的HP-TENG精确测量冰厚和增长速度,确保电力线安全.
科学领域:
- 材料科学与工程 材料科学与工程
- 电气工程 电气工程
- 环境科学 环境科学
背景情况:
- 空中电力线路面临传输线路结冰的重大风险,导致故障和结构故障.
- 现有的冰监测方法因不连续的测量而受到限制,并且缺乏自动供电能力.
- 开发一个强大的,自动供电的冰监测系统对于提高电网可靠性至关重要.
研究的目的:
- 提出一种新的自动供电监测方法,用于评估输电线路上的冰厚和增长动态.
- 开发和验证一个混合系统,集成一个 triboelectric纳米发电机 (TENG) 和一个微热电发电机 (MTEG).
- 在冰冷条件下提高电力传输基础设施的安全性和运营效率.
主要方法:
- 通过AAO模板方法使用PR/PDMS复合摩擦层制造基于TENG的冰厚传感模型 (HP-TENG).
- 集成基于甲化物的MTEG模块,用于能源采集和增强传感.
- 开发一个具有多方向冰盖增长信号处理单元和无线传输能力的原型系统.
主要成果:
- 该HP-TENG准确地感知冰厚 (10-20毫米),最大误差为2.14%.
- 有效监测冰的增长速度 (0.02-1 mm s-1),最大误差为3.65%.
- 该MTEG单元实现了1.15V的最大输出电压和180mA的电流,证明了自动供电的操作.
结论:
- 开发的TENG-MTEG系统为实时传输线冰监测提供了可靠和自动供电的解决方案.
- 该系统在测量冰厚和增长速度方面的精度大大提高了预测性维护和电网稳定性.
- 这项技术为在恶劣天气环境下实现自主,弹性电力基础设施提供了途径.
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