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

主要研究者：Raessi，Mehdi提案编号：1236462机构：马萨诸塞州大学，达特茅斯题目：波浪能转换器分析和优化的综合计算框架从海浪中可持续地提取能量代表了可再生能源的巨大来源，并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增长的环境问题。然而，将波浪能转换器（WEC）设计从实验室带到商业部署的过程是漫长且昂贵的，并且受到基础物理学的复杂性的阻碍。 在WEC的早期设计阶段，有几个关键的科学问题是难以或不可能在实验室中研究的。 其中包括评估全规模阵列的性能，以及设计针对特定部署站点进行优化的WEC，以实现最高性能。 计算方法可以提供解决这些问题的能力，在早期的发展过程中，并能够缩短时间框架和相关的成本的设计process.Currently，几乎所有的计算工具分析的WECs是基于线性化的流体动力学方程，而不是完整的Navier-Stokes方程。因此，它们不能捕获非线性效应，例如波浪破碎、湍流和流体-结构相互作用，这些非线性效应显著影响WEC的性能。如果不捕捉这些e #64256; ect，一个典型的线性模型将有一个非常有限的范围在发展过程中的WEC。因此，迫切需要弥合水能源理事会发展与环境之间的差距&。运动和计算建模技术，通过引入一个全面的计算框架的设计和优化的风力发电机，包括所有重要的e& #64256; ect。 该项目将利用一个全面的计算框架来分析和优化真实世界条件下的WEC。所提出的计算工具结合了非线性效应，并提供了场地特定的模拟，包括（a）湍流（直接数值模拟和大涡模拟）、由波驱动的两相流求解器，该波来自于用于现实和场地特定的波条件的相位平均波模型，（B）流体-结构相互作用模型，以及（c）不确定性定量模型，以指导WEC设计的灵敏度分析和优化研究。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将使用公开的实验数据集（Salter？的WEC）和行业合作伙伴（Resolute Marine Energy），以验证所提出的计算工具。 然后，PI将进行设计和优化研究，除其他设备外，在马萨诸塞州达特茅斯大学（UMD）开发的WEC为小型，波驱动发电机为偏远地区。拟议的计算工具可以加速开发和部署的成本-e #64256;有效的WEC，这可能会改变美国的可再生能源e#64256;orts。该项目将培养两名研究生和三名本科生。推广和传播计划针对广泛的受众，包括高中学生/教师，新贝德福德和法尔河的当地社区，海洋可再生能源，工程和计算科学的国际科学社区，以及社交媒体的成员。

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.