课题基金 / 基金详情

Next generation predictive maintenance for wind turbine blade/hub/rotor through novel online condition monitoring/root cause analysis: MONTURWIND

Next generation predictive maintenance for wind turbine blade/hub/rotor through novel online condition monitoring/root cause analysis: MONTURWIND
通过新颖的在线状态监测/根本原因分析对风力涡轮机叶片/轮毂/转子进行下一代预测性维护:MONTUWIND
批准号:
10041137
负责人:
金额:
$52.86万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 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 capacity is set to grow tenfold by 2050 in order to mitigate climate change. Unfortunately, wind turbine (WT) operation and maintenance (O&M) cost is twice as high as photovoltaic and fossil fuel power plants due to high frequency of very expensive unplanned repairs.The major areas of issue are rotating components of turbine rotor and drivetrain including blades, hub, low-speed shaft, main rotor bearing, gearbox and generator. Repair costs are increased by high crane hire cost, or even more expensive jack-up vessel charter costs (~£90k/day) for offshore WTs.WTs are equipped with condition monitoring (CM) systems to detect drivetrain faults, however no system in the market or in development monitors blades (a glass / carbon polymer structure), and hub, low-speed shaft without embedded sensors or non-destructive testing / inspection techniques. Embedded sensors are difficult to retrofit and maintain. Inspection requires shutdown in order to carry out non-destructive testing or manual inspections. Optical and IR cameras, robotic and drone solutions exist but they are expensive, cumbersome or limited in types of faults that can be detected. Manual inspections present health and safety problems due to tower climbs and rope access work.The project will develop a radically novel automatic online CM / root cause analysis system capable of detecting blade / hub / shaft dangerous faults without embedded sensors. Technology is underpinned by sophisticated signal processing and AI to deliver a cost effective, easily retrofitted solution. Blade / shaft / hub fault detection unlocks access to a \>$4.23 billion market opportunity. Based on projected sales, the industry will save £893 million over five years by enabling inexpensive planned repairs rather than costly replacements and preventing fault re-occurrence by root cause detection / elimination. System sales will generate cumulative PBIT £10.5M (5 years), ROI 14.3 and PBIT 378M (10 years).
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
细胞周期蛋白依赖性激酶Cdk1介导卵母细胞第一极体重吸收致三倍体发生的调控机制研究
  • 批准号:
    82371660
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    魏喆
  • 依托单位:
Next Generation Majorana Nanowire Hybrids
二次谐波非线性光学显微成像用于前列腺癌的诊断及药物疗效初探
  • 批准号:
    30470495
  • 项目类别:
    面上项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2004
  • 负责人:
    邓小元
  • 依托单位: