GOALI: Optimizing the Design of Ocean Wave Energy Farms

目标：优化海浪发电场的设计

• 批准号: 1400164
• 负责人: Lawrence Snyder
• 金额: $ 40万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-15 至 2019-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1400164&HistoricalAwards=false
• 关键词: GOALI; Optimizing; Design; Ocean; Wave

This Grant Opportunities for Academic Liaison with Industry (GOALI) award will play an important role in making the alternative energy source that harnesses the power of ocean waves economically viable. The ultimate goal is to make wave energy a reliable and cost-effective source of large-scale, grid-quality, clean power. Mathematical optimization models and techniques will be developed and used to design so-called wave farms. In addition, the wave energy conversion (WEC) devices that constitute these wave farms can be connected via sensor networks, which allows dynamic operation of the WECs, allowing for solutions that are not only cost-effective but also robust with respect to changes in the sea environment. The academic/industry partnership between Lehigh University and Ocean Power Technologies (OPT) will give the research strong potential to be applied in practice, helping the U.S. take the lead in research and implementation of wave energy conversion.The main objective of this award is to develop novel optimization models and algorithms for designing and operating arrays of WEC devices. The investigators will advance the state of the art in modeling and optimizing strategic problems in the layout of arrays of WECs (also known as wave farms). The project will consider both deterministic sea environments (for which there are still many open questions) and stochastic wave environments (which will initiate a new body of research). Models and algorithms to optimize the locations of WECs within a wave farm array, which can have a significant impact on the total power of the farm due to the hydrodynamic interactions among the WECs, will be developed. A second goal of the project is to optimize the types and locations of sensors that collect data on waves and forecast the actual waveforms at the WECs, thus improving the control of the WECs. The research team will develop models and algorithms for maximum-likelihood estimation of wave realizations as a function of sensor system design, and then optimize the design itself with respect to the types and locations of sensors.

这项学术与工业界联络资助机会（GOALI）奖将在使利用海浪动力的替代能源在经济上可行方面发挥重要作用。最终目标是使波浪能成为一种可靠且经济的大规模、电网级清洁能源。数学优化模型和技术将被开发并用于设计所谓的波浪农场。此外，构成这些浪场的波浪能转换（WEC）设备可以通过传感器网络连接，从而允许动态运行海浪能转换设备，从而使解决方案不仅具有成本效益，而且对海洋环境的变化也具有鲁棒性。里海伊大学与Ocean Power Technologies （OPT）之间的学术/行业合作伙伴关系将使该研究具有强大的实践应用潜力，帮助美国在波浪能转换的研究和实施方面处于领先地位。该奖项的主要目标是为设计和操作WEC设备阵列开发新的优化模型和算法。研究人员将在模拟和优化wec阵列布局的战略问题方面推进最先进的技术（也称为波浪场）。该项目将考虑确定性海洋环境（其中仍有许多悬而未决的问题）和随机波浪环境（这将启动一个新的研究体系）。将开发模型和算法来优化波浪场阵列内的WECs位置，由于WECs之间的水动力相互作用，这可能对波浪场的总功率产生重大影响。该项目的第二个目标是优化传感器的类型和位置，这些传感器可以收集波浪数据并预测白油井的实际波形，从而改善对白油井的控制。研究小组将开发模型和算法，以最大似然估计波浪实现作为传感器系统设计的功能，然后根据传感器的类型和位置优化设计本身。