CyberSEES: Type 2: Ocean Wave Energy and the Power Grid: Optimization and Integration

该项目的目标是为海浪能量转换装置阵列（称为波浪农场）开发传感、预测、优化和控制技术，使其可靠、高效、经济和环保。该项目侧重于控制和协调波浪电场的许多自主传感和决策功能所需的网络基础设施的操作问题。研究课题包括设计计算工具来评估波浪能转换器的实时水动力相互作用；开发短期和长期波浪预测算法；利用波浪状态预测动态控制波浪能转换器阵列和蓄能系统；启用使用波传感器数据评估系统状态的快速故障检测测试；并在一个多智能体控制系统中自动化这些决策过程。由于波浪的可预测性和一致性，该项目还通过量化波浪能生产商在电力市场上可能利用的机会和收益，以及最佳波浪场设计和控制对二氧化碳排放的影响，评估和优化波浪场的可持续性和电力市场潜力。该项目包括一项教育和劳动力发展计划，为宾夕法尼亚州利哈伊谷的百慕大海洋科学研究所的高中生开发和管理一门海洋课程，主题是波浪能；并通过教育模块和为宾夕法尼亚州阿伦敦达芬奇科学中心的赞助人举办的关于波浪能的独特展览，参与社区外展。如果成功，该项目将优化和估计波浪能为电网提供绿色、可预测、可调度电力的程度。研究结果将产生模型、算法、控制策略和系统架构，以提高波浪农场的输出功率，降低运营成本，最大化其环境效益，并为农场经营者寻求市场机会提供指导。该项目将验证波浪能的经济和环境可行性，并推动目前正在进行的重大研究和开发工作，将波浪能转换的潜力转化为电网规模的成果。有效和经济地收集海浪中的动能，为电力的未来提供了更多样化的供应组合，减少了温室气体排放，并提高了可持续性影响。该项目的教育和劳动力发展部分将扩大新一代工程师和科学家以及公众对波浪能技术和环境方面的理解。

The objective of this project is to develop sensing, prediction, optimization, and control techniques for arrays of ocean wave energy conversion devices, known as wave farms, to make them reliable, efficient, economical, and environmentally benign. The project focuses on operational questions about the cyber-infrastructure required to control and coordinate a wave farm's many autonomous sensing and decision-making functions. Research topics include designing computational tools to assess real-time hydrodynamic interactions of wave energy converters; developing short-term and long-term wave prediction algorithms; using wave condition forecasts to dynamically control arrays of wave energy converters and energy storage systems within wave farms; enabling rapid fault detection tests that use wave sensor data to assess system state; and automating these decision-making processes within a wave farm with a multi-agent control system. The project also assesses and optimizes the sustainability and electricity market potential of wave farms by quantifying the opportunities and gains that wave power producers may avail in the electricity market due to the predictability and consistency of waves, and the effect of optimal wave farm design and control on CO2 emissions. The project includes an educational and workforce development plan to develop and administer an in-ocean course for high school students from the Lehigh Valley, PA at the Bermuda Institute of Ocean Sciences on the topic of wave energy; and to engage in community outreach via educational modules and a unique exhibit on wave energy for patrons of the Da Vinci Science Center in Allentown, PA.If successful, the project will optimize and estimate the extent to which wave energy can provide green, predictable, dispatchable power to the electricity grid. The results will yield models, algorithms, control strategies, and system architectures to improve the output power of wave farms, reduce operating costs, maximize their environmental benefits, and provide guidance for farm operators in pursuing market opportunities. The project will validate the economic and environmental feasibility of wave power and drive forward the significant research and development efforts currently underway to bring the potential of wave energy conversion to grid-scale fruition. Efficient and economic harvesting of the kinetic energy in ocean waves offers an electricity future with a more diverse supply portfolio, reduced greenhouse gas emissions, and higher sustainability impacts. The educational and workforce development components of this project will broaden understanding of the technical and environmental aspects of wave energy among a new generation of engineers and scientists, as well as among the general public.