课题基金 / 基金详情

Self-sensing wind turbine composite blades for structural health monitoring (SMARTBLADE)

Self-sensing wind turbine composite blades for structural health monitoring (SMARTBLADE)
用于结构健康监测的自感应风力涡轮机复合材料叶片 (SMARTBLADE)
批准号:
104030
负责人:
金额:
$55.06万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Wind energy is one of the leading renewable sources to replace fossil fuel in order to tackle the environmental and climate crisis challenges that the world is facing. China and the UK together contribute to ~40% of the world's ~500 GW wind power capacity. However, the ever-increasing operation and maintenance (O&M) cost has become a critical constraint for the sustainability of wind energy growth - global cost estimated to reach US$17bn pa by 2020.The primary objective of this project is to develop an integrated smart composite to be incorporated into the wind turbine blades. The smart composite will be able to perform autonomous structural health monitoring of the blades, to detect the early signs of damage and enable predictability in maintenance scheduling and prevent the icing of the blades, to ensure operational efficiency, whilst also self-sustaining the power supply of these functionalities without need for battery replacement.The composite will be integrated with various types of macro fibre piezoelectric composite transducers used as vibration sensors and energy harvesters, micro-fabricated solid-state batteries and printed electronics. This will open up new technological possibilities in the design, manufacturing and operation of wind turbine blades to improve their operation.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
WiFi环境下基于RNN-LSTM的人体行为识别技术研究
Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    160万元
  • 批准年份:
    2022
  • 负责人:
    李忠平
  • 依托单位:
QS-Rot协同在调控ST121金葡菌株强致病性中的作用与机制
Glis1调控小鼠多能胚胎干细胞重编程为全能性二细胞样细胞的机理研究
  • 批准号:
    32100619
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    李林鹏
  • 依托单位: