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

1133700 PI Shen该项目的重点是建立一个海洋风和波浪的计算框架，可应用于可再生能源应用，如海上风电场和波浪发电机。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，用于风湍流的波面拟合网格上的大涡模拟，以及用于陡峭和破碎波浪的混合多流体模拟。PI计划使用大规模并行计算机上的高性能计算来解析波浪和风场的空间和时间细节，并为风能和波浪能应用提供有价值的信息。该项目的任务是：（i）开发先进的数值能力用于海浪和风运动的波相解析模拟。(ii)利用风？波浪模拟工具，以更好地了解海洋风和波浪场作为可持续能源的资源。(iii)将仿真工具应用于海上风电场，并探索扩展到波浪能采集。 PI将提高海上风和波浪的模拟和预测能力，这对海上可再生能源的研究特别有用。该方法考虑了风湍流与非线性海浪的充分耦合，解决了海浪相位的细节问题，与传统的波相平均方法相比，具有一定的优势。将其应用于海上涡轮机阵列对海洋大气边界层的模拟，将有助于解决海上风电场发展中的诸多科学和工程问题。 模拟，与波相解决，也将是有价值的非线性波浪动力学的理解，并将有助于设计的波能converters.Broader影响：本研究的主题，可持续能源从海上风和波浪，是科学界以及公众的极大兴趣。该项目开发的仿真工具将直接应用于海上风能和波浪能采集。 它可用于可再生能源资源的测绘、风电场的选址、风力涡轮机阵列布置的优化以及风力涡轮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训，重点是建模多尺度和多物理问题。国内研究生的招聘将利用现有的NSF IGERT项目。IGERT项目的重点是培养科学建模和计算博士。学生在学习的前两年。该项目将导致IGERT实习生自然延续博士学位的剩余三年。study. 目前正在进行的推广到当地巴尔的摩高中将继续积极提供研究经验的高中生，特别是代表不足的少数民族。

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.