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.

标志性的旨在开发创新的物理和数字工具，以考虑到农场，涡轮机和组件水平的整个物理系统，尤其是涡轮机之间的复杂空气动力相互作用，以实现对风电场综合控制的基本突破。标志性的旨在在最佳风速和典型风电场的最佳风速和指示下增加15-20％的功率，考虑到所有工作条件在长期内，年度能源生产（AEP）增加了3％-5％。通过利用最新的AI和数字技术，它通过改善农业范围内的AEP和降低运营和维护成本来实现至少6％的LCOE减少6％。将通过高保真模拟模型，国家级风隧道的实验，BP和C-Power的风电场的历史运营数据，针对各自公司的关键涡轮机组件的独特测试钻机以及现实世界风场测试的独特测试集合，对综合风电场控制解决方案进行了广泛的验证。 Iconic的集成风电场控制系统将包含（1）新型的基于AI的风电场控制系统，以释放风电场的全部潜力； （2）新型的数据涡轮机控制器，以实现农场级别的命令，同时平衡发电和减轻负载； （3）与数字双胞胎（DTS）的集成，作为提高控制和降低成本的额外支持，其中包含有史以来第一个用于风电场流量系统的农场级DT，以复制详细的物理流场和具有创新的涡轮级DT，其中具有关键的组件模型，用于负载和寿命估算； （4）未来20MW涡轮机的解决方案的扩展。标志性将在关键的数字，启用和新兴技术中建立新的知识和工业领导力，并为风电场运营提供下一代工具。