Computation of marine atmospheric boundary layer and nonlinear ocean wavefield for energy for sustainability

1133700皮申该项目专注于建立一个可应用于海上风电场和波浪发电机等可再生能源应用的海洋风浪计算框架。该模拟工具建立在计算流体力学和流体力学的几个最新发展的基础上，包括用于波浪的高阶谱方法，用于风湍流的波面贴合网格的大涡模拟，以及用于陡峭和破碎波的混合多流体模拟。利用大规模并行计算机上的高性能计算，PI计划解析海浪和风场的空间和时间细节，并为风能应用提供有价值的信息。该项目的任务是：(I)发展先进的数值能力，用于海浪和风运动的波相解析模拟。(2)利用风浪模拟工具，更好地了解作为可持续能源资源的海洋风场和海浪场。(3)将仿真工具应用于海上风电场，探索波能采集的推广应用。PI将提高对近海风浪的模拟和预测能力，这对近海可再生能源的研究特别有用。该方法考虑了风场湍流与非线性海浪的完全耦合，解决了海浪相位的细节问题，是一种新的海浪模拟方法，与传统的海浪相位平均方法相比具有一定的优势。将风力机阵列应用于海洋大气边界层的模拟，将有助于解决与海上风电场发展相关的许多科学和工程问题。模拟得到的海浪相位对了解非线性海浪动力学具有重要意义，并将有助于波能转换器的设计。波及影响：本研究的主题--离岸风浪的可持续能源，引起了科学界和公众的极大兴趣。本项目开发的模拟工具将直接应用于海上风能和海浪能的收集。它可用于可再生能源的测绘、风电场的选址、风力机阵列布置的优化以及风力机和波浪能装置在各种海洋环境中的运行。博士研究生教育将强调多学科培养，重点是对多尺度和多物理问题进行建模。招收国内研究生将利用现有的NSF IGERT项目。IGERT项目的重点是对博士生头两年的科学建模和计算进行培训。该项目将导致IGERT受训人员在剩余三年的博士学习中自然延续。将积极继续向巴尔的摩当地高中提供研究经验，为高中生，特别是代表不足的少数族裔提供研究经验。

1133700 PI ShenThis project is focused on establishing a computational framework for ocean winds and waves that can be applied to renewable energy applications such as an offshore wind farm and a wave power generator. The simulation tool builds on several recent developments in computational fluid dynamics and hydrodynamics, including a high-order spectral method for waves, large-eddy simulation on a wave surface-fitted grid for wind turbulence, and a hybrid multi-fluid simulation for steep and breaking waves. Using high-performance computing on massively parallel computers, the PI plans to resolve the spatial and temporal details of the wave and wind fields and provide valuable information for wind and wave energy applications.The tasks of the project are to: (i) Develop advanced numerical capability for the wavephase-resolving simulation of ocean wave and wind motions. (ii) Use the wind?wave simulation tool to obtain a better understanding of the ocean wind and wave fields as resources for sustainable energy. (iii) Apply the simulation tool to applications in offshore wind farms, and explore the extension to wave energy harvesting. The PI will improve the simulation and prediction capabilities for offshore winds and waves that are particularly useful for the study of offshore renewable energy. The proposed simulation approach, which considers the full coupling between wind turbulence and nonlinear ocean waves and resolves the details of wave phases, is the first of its kind and possesses an advantage over traditional wave-phase-averaging simulation methods. The application to the simulation of marine atmospheric boundary layer with wind turbine arrays will help answer many scientific and engineering questions related to the development of offshore wind farms. The simulations, with the wave phases resolved, will also be valuable for the understanding of nonlinear wave dynamics and will be helpful for the design of wave energy converters.Broader impacts: The topic of this study, sustainable energy from offshore winds and waves, is of great interest to the scientific community as well as the general public. The simulation tool developed in this project will have direct applications in offshore wind and wave energy harvesting. It can be used for the mapping of renewable energy resources, site selection of wind farms, optimization of wind turbine array arrangements, and operation of wind turbines and wave energy devices in various sea environments. Doctoral graduate education will stress multi-disciplinary training with a focus on modeling multiscale and multi-physics problems. Recruiting of domestic graduate students will leverage an existing NSF IGERT project. The IGERT project focuses on the training in scientific modeling and computation for Ph.D. students in their first two years of study. The project will lead to natural continuation for an IGERT trainee for the remaining three years of Ph.D. study. Ongoing outreach to local Baltimore high schools will be actively continued by providing research experiences for high school students, especially under-represented minorities.