Smart, Aware, Integrated Wind Farm Control Interacting with Digital Twins (ICONIC)

与数字孪生交互的智能、感知、集成风电场控制 (ICONIC)

• 批准号: 10095874
• 金额: $ 128.49万
• 依托单位: UNIVERSITY OF WARWICK
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10095874
• 关键词: Smart; Aware; Integrated; Wind; Farm

ICONIC aims to develop innovative physical and digital tools to achieve fundamental breakthroughs for the integrated control of wind farms, considering the whole physical system at farm, turbine, and component levels, in particular the complex aerodynamic interactions among turbines. ICONIC aims to increase farm-wide power production by 15-20% under optimal wind speeds and directions for typical wind farms suffering from wake effects, with a 3%-5% increase in annual energy production (AEP) considering all working conditions over the long term. It targets an LCOE reduction of at least 6% compared with the state-of-the-art control tools deployed in the current wind industry by improving farm-wide AEP and reducing operation & maintenance costs via leveraging the latest AI and digital technologies. Extensive validations for the integrated wind farm control solutions will be conducted via high-fidelity simulation models, experiments at a national-level wind tunnel, historical operational data at BP’s and C-Power’s wind farms, a unique collection of test rigs for critical turbine components at respective companies, and real-world wind farm field tests at C-Power. ICONIC’s integrated wind farm control system will contain (1) novel AI-based wind farm control system to unlock wind farms’ full potential; (2) novel dataenhanced wind turbine controllers to fulfil farm-level commands while balancing power generation and load mitigation; (3) an integration with digital twins (DTs) as extra support to improve control and reduce costs, which contains a first-ever farm-level DT for wind farm flow systems replicating detailed physical flow fields and an innovative turbine-level DT with critical component models for loading and lifetime estimations; (4) extensions of the solutions to future 20MW turbines. ICONIC will establish new knowledge and industrial leadership in key digital, enabling and emerging technologies, and deliver next-generation tools for wind farm operation.

ICONIC的目标是开发创新的物理和数字工具，以实现风力发电场集成控制的根本性突破，考虑到农场、涡轮机和组件级别的整个物理系统，特别是涡轮机之间复杂的空气动力学相互作用。ICONIC的目标是在最佳风速和风向下，为受尾流影响的典型风电场提高15%-20%的发电量，考虑到所有长期工作条件，年发电量(AEP)将增加3%-5%。它的目标是与当前风电行业部署的最先进的控制工具相比，通过改善整个农场的AEP并利用最新的人工智能和数字技术降低运营和维护成本，将LCOE降低至少6%。集成风电场控制解决方案的广泛验证将通过高保真模拟模型、国家级风洞实验、BP和C-Power风电场的历史运行数据、各自公司的关键涡轮机组件的独特测试台集合以及C-Power的真实风电场现场测试来进行。ICONIC的集成风电场控制系统将包括：(1)新颖的基于人工智能的风电场控制系统，以释放风电场的全部潜力；(2)新型数据采集系统，用于增强风力涡轮机控制器，以在平衡发电和负载缓解的同时执行农场级命令；(3)与数字双胞胎(DTD)的集成，作为额外支持，以改进控制和降低成本，其中包括首个用于风电场流动系统的农场级DT，用于复制详细的物理流场；以及创新的涡轮级DT，具有用于负载和寿命估计的关键部件模型；(4)将解决方案扩展到未来20兆瓦的涡轮机。ICONIC将在关键的数字、使能和新兴技术方面建立新的知识和行业领先地位，并提供用于风力发电场运营的下一代工具。