A comprehensive computational framework for analysis and optimization of wave energy converters

用于分析和优化波浪能转换器的综合计算框架

• 批准号: 1236462
• 负责人: Mehdi Raessi
• 金额: $ 36.82万
• 依托单位: University of Massachusetts, Dartmouth
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1236462&HistoricalAwards=false
• 关键词: comprehensive; computational; framework; analysis; optimization

PI: Raessi, MehdiProposal Number: 1236462Institution: University of Massachusetts, DartmouthTitle: A comprehensive computational framework for analysis and optimization of wave energy convertersSustainable energy extraction from ocean waves represents an enormous source of renewable energy and promises to contribute towards the energy independence of the United States while addressing rising environmental concerns over fossil fuels. However, the process of bringing a wave energy converter (WEC) design from the lab to commercial deployment is long and costly and is hindered by the complexity of the underlying flow physics. There are several critical scientific concerns that are difficult or impossible to study in the lab at early design stages of WECs. They include assessing the performance of a full scale array and engineering a WEC that is optimized for a specific deployment site to achieve maximum performance. Computational methods can provide the ability to address such concerns early on in the development process and are capable of shortening the timeframe and associated costs of the design process.Currently, almost all computational tools for analysis of WECs are based on linearized hydrodynamic equations in place of the full Navier-Stokes equations. As a result, they are unable to capture non-linear effects, e.g. wave breaking, turbulence, and fluid-structure interactions, that significantly impact the performance of WECs. Without capturing these effects, a typical linear model will have a very limited scope in the development process of WECs. Thus, there is an urgent need to bridge the gap between WEC development efforts and computational modeling techniques by introducing a comprehensive computational framework for design and optimization of WECs that includes all important effects. This project will utilize a comprehensive computational framework for analysis and optimization of WECs under real-world conditions. The proposed computational tool incorporates non-linear effects and provides site-specific simulations including (a) a turbulent (both direct numerical simulation, and large eddy simulation), two-phase flow solver driven by wave fields derived from phase-averaged wave model for realistic and site-specific inflow conditions, (b) a fluid-structure interaction model, and (c) an uncertainty quantification model to guide sensitivity analysis and optimization studies of WEC design. To enable rapid turnaround of simulations, the PI will continue efforts in migrating these modules to a heterogeneous CPU/GPU computing environment. The PI will use the experimental datasets available publicly (Salter?s WEC) and from an industry partner (Resolute Marine Energy) to validate the proposed computational tool. The PI will then perform design and optimization studies on, among other devices, a WEC developed at UMass-Dartmouth (UMD) for small-scale, wave-driven generators for remote areas.The proposed computational tool can accelerate the development and deployment of cost-effective WECs, which can potentially transform renewable energy efforts in the United States. The project will train two graduate and three undergraduate students. The outreach and dissemination plans target a wide spectrum of audience including high school students/teachers, local communities of New Bedford and Fall River, international scientific communities of marine renewable energy, engineering, and computational sciences, and members of social media.

PI：Raessi, Mehdi 提案编号：1236462 机构：马萨诸塞大学达特茅斯分校 标题：用于分析和优化波浪能转换器的综合计算框架 从海浪中可持续提取能源是可再生能源的巨大来源，有望为美国的能源独立做出贡献，同时解决对化石燃料日益严重的环境问题。然而，将波浪能转换器 (WEC) 设计从实验室转向商业部署的过程漫长且成本高昂，并且受到底层流物理的复杂性的阻碍。 在 WEC 的早期设计阶段，有几个关键的科学问题很难或不可能在实验室中进行研究。 其中包括评估全尺寸阵列的性能以及设计针对特定部署站点进行优化的 WEC，以实现最大性能。 计算方法可以在开发过程的早期解决这些问题，并能够缩短设计过程的时间和相关成本。目前，几乎所有用于分析 WEC 的计算工具都基于线性流体动力学方程，而不是完整的纳维-斯托克斯方程。因此，他们无法捕捉非线性效应，例如波浪破碎、湍流和“流体-结构相互作用”对 WEC 的性能产生重大影响。如果不考虑这些影响，典型的线性模型在 WEC 的开发过程中的范围将非常有限。因此，迫切需要通过引入一个包含所有重要影响的 WEC 设计和优化综合计算框架来弥合 WEC 开发工作和计算建模技术之间的差距。 该项目将利用综合计算框架在现实条件下分析和优化 WEC。所提出的计算工具结合了非线性效应，并提供了特定地点的模拟，包括（a）湍流（直接数值模拟和大涡模拟）、由从相位平均波模型导出的波场驱动的两相流求解器，以实现真实和 特定地点的流动条件，(b) 流体-结构相互作用模型，以及 (c) 不确定性量化模型，以指导 WEC 设计的敏感性分析和优化研究。为了实现模拟的快速周转，PI 将继续努力将这些模块迁移到异构 CPU/GPU 计算环境。 PI 将使用公开提供的实验数据集（Salter 的 WEC）和行业合作伙伴（Resolute Marine Energy）提供的实验数据集来验证提议的计算工具。 然后，PI 将针对麻省大学达特茅斯分校 (UMD) 为偏远地区小型波浪驱动发电机开发的 WEC 等设备进行设计和优化研究。所提出的计算工具可以加速具有成本效益的 WEC 的开发和部署，从而有可能改变美国的可再生能源工作。该项目将培养两名研究生和三名本科生。外展和传播计划针对广泛的受众，包括高中生/教师、新贝德福德和福尔里弗的当地社区、海洋可再生能源、工程和计算科学的国际科学界以及社交媒体成员。