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Autonomous Wind Turbine Optimisation Software - AWTOS

Autonomous Wind Turbine Optimisation Software - AWTOS
自主风力发电机优化软件 - AWTOS
批准号:
104533
负责人:
金额:
$18.42万
依托单位国家:
英国
项目类别:
Study
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

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中文摘要
翻译
“目前的WT控制系统并没有优化端到端系统,而是采用出厂默认设置来优化传动系统的各个元件,如发电机和逆变器。工厂设置不是最佳的,因为现场特定的风湍流和磨损引起的机器到机器的变化。非优化控制不仅会导致电力输出减少,还会增加风力发电机结构和部件的应力,从而缩短资产使用寿命并增加维护费用。PES公司的愿景是成为下一代控制算法应用的全球领先者,以优化风力发电机(WT)的端到端性能,增加电力输出,降低维护成本,延长资产寿命。PES正在开发AWTOS(自主风力涡轮机优化软件),其具有将WT电输出增加6%的潜力,这对于风力工业来说是重要的,因为在典型的风力发电场上,a 6% AEO的改进可以使业主的净利润增加一倍。迄今为止,PES已经获得了公共资金,开发了最初的AWTOS原型,该原型在许多国家都有充分的专利保护,最初的AWTOS原型已被证明在受控环境中工作,下一阶段是在真实的WT上对其进行测试。该项目的目的是通过在野外WT上测试AWTOS来开发AWTOS。PES已与一家领先的欧洲WT制造商和运营商合作,获得了许多运营WT的机会。该项目将是开发AWTOS的一个重要阶段,该系统经过验证,可销售给全球WT运营商。PES是ICURe第12组的一部分,提供了宝贵的市场情报。这些见解有助于重新调整商业模式和最初的市场目标。首次发行将使WT产量提高6%,为运营商提供12个月的投资回报。最初的收入将来自一次性费用,但随着业务的发展,这将发展成为服务费。"
英文摘要
"Current WT control systems do not optimise the end to end system and are set up with factory default settings to optimise individual elements of the drive train such as the generator and inverter. Factory settings are not optimal due to site specific wind turbulence and machine to machine variability caused by wear and tear. Non-optimised control leads not only to reduced electrical output, but increasing stresses on the WT structure and components, which can reduce useful asset life and increase maintenance expenditure.The PES company vision is to be the leading global player in the application of next generation control algorithms to optimise the end to end performance of Wind Turbines (WTs), increasing electrical output), reduce maintenance cost, and extend asset life. PES is developing AWTOS (Autonomous Wind Turbine Optimisation Software) which has the potential to increase WT electrical output by 6% which is significant for the wind industry as on a typical wind farm, a 6% improvement in AEO can double the net profit to the owner.To date PES has received public funding which has developed the initial AWTOS prototype which has full patent protection in a number of countries and has full freedom to operate.The initial AWTOS prototype has been shown to work in a controlled environment and the next stage is to test it on real WTs. The aim of this project is to develop AWTOS by testing AWTOS on a WT in the field. PES has partnered with a leading European WT manufacturer and operator to gain access to a number of operational WTs. This project will be an important stage in developing AWTOS in to a proven control system that can be sold to WT operators globally.PES was part of ICURe cohort 12 which provided invaluable market intelligence. The insights have helped refocus the business model and the initial market target. The initial offering will improve WT output by 6% which provides a 12 month payback to the operator. Initial revenues will be generated from a one off fee but this will develop into a service fee as the business develops."
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海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: