Understanding stratification and wake evolution due to thermal fields for wind-turbine array over a rough-terrain

了解崎岖地形上风力涡轮机阵列的热场导致的分层和尾流演化

• 批准号: 1242180
• 负责人: Kiran Bhaganagar
• 金额: $ 10万
• 依托单位: University of Texas at San Antonio
• 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: 2012-10-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1242180&HistoricalAwards=false
• 关键词: Understanding; stratification; wake; evolution; due

The University of Texas?San Antonio will initiate a study of the interaction between atmospheric boundary layers and wind farms over rough terrain. This project is related to and derived from the UTSA Centers of Research Excellence in Science and Technology award (HRD 0932339) entitled "Integrating High Performance Computing in Research and Education for Simulation, Visualization and Real-Time Prediction". The PI will conduct a fundamental study to improve the understanding of stratification and wake evolution due to thermal fields for wind-turbine arrays laid out over a rough terrain. She will develop a multi-scale framework to understand the key external effects between atmospheric winds and wind turbine farms. The project will develop a new partnership between UTSA, particularly a junior female faculty member, and the National Wind Resource Center at Texas Tech University in Lubbock, Texas.Intellectual MeritThe proposed study will advance the state of the art in the computational simulation of wind farms by accurately accounting for the key external factors affecting the wind farm performance. Analysis from the numerical simulations and existing experimental and field data will provide improved understanding of interplay of the physical processes between the wind turbine-generated turbulence and the atmospheric boundary layer, thus making a significant stride in fundamental science of wind engineering. Specifically, the team will develop fundamental multi-scale framework to understand the key external effects: (a) stratification (b) developing atmospheric thermal boundary layer interaction with a wind farm and (c) wake-wake interaction, and (d) complex topography. The objectives of the current study are (a) to develop a large eddy simulation tool that can accurately account for the key external factors affecting the wind farm performance, (b) to understand the interactions of the wind turbine generated flow structures and stratified atmospheric thermal boundary layer under stable and unstable conditions, (c) use the numerically generated data and existing laboratory and field measurements to develop an understanding of the complex interaction of the turbulence due to buoyancy, surface roughness and wind turbine structures.Broader ImpactThe project has direct relevance to the development of renewable energy sources in the US. The results could help to make wind energy more accessible in wider terrains, providing more realistic predictive tools to serve as guides for the future of wind-farm installations. The project will develop a joint course in wind energy technology to be taught simultaneously at UTSA and TTU. The project will help in the education, motivation and mentoring of students at UTSA, who are predominantly Hispanic. The PI is a female faculty member in engineering at UTSA in a field where role models for women are lacking in many quarters of academe.

德克萨斯大学？圣安东尼奥将启动一项关于大气边界层与崎岖地形上风电场之间相互作用的研究。 该项目与UTSA卓越研究中心的科学技术奖（HRD 0932339）有关，并源于该奖项，该奖项名为“将高性能计算集成到仿真，可视化和实时预测的研究和教育中”。 PI将进行一项基础研究，以提高对粗糙地形上布置的风力涡轮机阵列热场引起的分层和尾流演变的理解。 她将开发一个多尺度框架，以了解大气风和风力涡轮机农场之间的关键外部影响。 该项目将开发一个新的合作伙伴关系UTSA，特别是一个年轻的女教师，和国家风力资源中心在德克萨斯州拉伯克的德克萨斯理工大学，Texas.Intellectual MeritThe拟议的研究将推进最先进的风力发电场的计算模拟准确占影响风力发电场性能的关键外部因素。数值模拟和现有的实验和现场数据的分析将提供更好的理解风力涡轮机产生的湍流和大气边界层之间的物理过程的相互作用，从而使风工程的基础科学的一个重大的进步。 具体而言，该团队将开发基本的多尺度框架，以了解关键的外部效应：（a）分层（B）发展大气热边界层与风电场的相互作用，（c）尾流-尾流相互作用，以及（d）复杂地形。本研究的目的是：（a）开发一种大涡模拟工具，该工具可以准确地解释影响风电场性能的关键外部因素;（B）了解稳定和不稳定条件下风力涡轮机产生的流动结构和分层大气热边界层的相互作用，（c）利用数值生成的数据和现有的实验室和现场测量结果，了解浮力引起的湍流的复杂相互作用，表面粗糙度和风力涡轮机结构。更广泛的影响该项目与美国可再生能源的发展直接相关。 研究结果可能有助于使风能在更广泛的地形中更容易获得，提供更现实的预测工具，作为未来风电场安装的指南。 该项目将开发风能技术联合课程，在UTSA和TTU同时授课。 该项目将有助于UTSA学生的教育，激励和指导，他们主要是西班牙裔。 PI是UTSA工程专业的一名女教员，在这个领域，女性的榜样在很多地方都缺乏。