WindTwin - Digital Twin of Wind Turbines for real time continuous monitoring and inspection

WindTwin项目旨在通过开发一个创新的数字平台，将风力涡轮机的行为和运行虚拟化，从而彻底改变陆上和海上风力涡轮机的监测和维护。这些虚拟模型或双胞胎将结合描述涡轮机运行物理的数学模型，以及在真实世界运行期间从真实资产收集和处理的传感器数据。例如，变速箱的状态监测将被应用，传感器将被放置在真实的风力涡轮机资产上；收集到的数据将被处理并传输到数字孪生，连续产生接近真实的风力涡轮机数字孪生，显示实时性能。这些虚拟模型将允许风电场运营商预测故障并计划维护，从而减少维护成本和停机时间。WindTwin平台的应用将包括(1)利用基于数据和知识的工具进行设计，并在制造前对风力涡轮机进行模拟测试；(2)对风力涡轮机资产进行持续的预测和预防性维护和状态监测；(3)分析不同功率设置的运行场景，以及不同功率输出下的相关磨损情况。

WindTwin project aims to revolutionise the monitoring and maintenance of wind turbines both onshore and offshore by developing an innovative digital platform that will virtualise with a digital twin the wind turbine behaviour and operation. These virtual models or twins will combine the mathematical models describing the physics of the turbine's operation, with sensor data collected and processed from real assets during real world operations. For example, condition monitoring on gearbox will be applied and sensors will be placed on the real wind turbine asset; the data being collected will be processed and transferred to the digital twin, continuously resulting in a close to real digital twin of the wind turbine showing real time performance. These virtual models will allow wind farm operators to predict failure and plan maintenance thus reducing both maintenance costs and downtime. The application of WindTwin platform will include (1) design using data and knowledge based tools and simulated testing of wind turbines before manufacturing, (2) continous predictive and preventive maintenance and condition monitoring of wind turbine asset (3) different power setting operation scenerios analysis, and associated wear and tear at different power outputs.