Harnessing the Power of Wind: Revolutionising Wind Farm Optimisation

利用风能：彻底改变风电场优化

• 批准号: DP240101820
• 负责人: Prof Ben Thornber
• 金额: $ 32.96万
• 依托单位: The University of Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2024
• 资助国家: 澳大利亚
• 起止时间: 2024-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP240101820
• 关键词: Harnessing; Power; Wind; Revolutionising; Farm

This project aims to develop a rigorous, efficient and accurate framework for optimisation of control policies for complete wind farms. It expects to generate new knowledge in data-driven physics informed transient aerodynamic and structural modelling of entire wind farms, generation of low order yet sufficiently accurate models using machine learning, and game-theoretic and model predictive control techniques for operation of an entire wind farm. Expected outcomes are engineering tools to tackle wind farm inefficiencies totalling $700m/year in Australia alone, contributing to energy stability, security and lowered emissions aligned to the National Science and Research Priority ‘Energy’.

该项目旨在开发一个严格、高效和准确的框架，以优化完整风电场的控制策略。它预计将在数据驱动的物理学方面产生新的知识，包括整个风电场的瞬态空气动力学和结构建模，使用机器学习生成低阶但足够准确的模型，以及用于整个风电场运行的博弈论和模型预测控制技术。预期成果是工程工具，以解决风电场的效率低下，仅在澳大利亚就达到7亿美元/年，有助于能源稳定性，安全性和降低排放，符合国家科学和研究优先事项“能源”。