Harnessing the Power of Wind: Revolutionising Wind Farm Optimisation

该项目旨在开发一个严格、高效和准确的框架，以优化完整的风力发电场的控制政策。它预计将产生数据驱动物理学的新知识，为整个风力发电场的瞬时空气动力学和结构建模提供信息，使用机器学习生成低阶但足够精确的模型，以及用于整个风力发电场运营的博弈论和模型预测控制技术。预期的成果是工程工具，以解决仅在澳大利亚每年总计7亿美元的风力发电场低效问题，有助于能源稳定、安全和降低排放，与国家科学和研究优先事项“能源”相一致。

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’.