NEESR-II: A Seismic Study of Wind Turbines for Renewable Energy

NEESR-II：可再生能源风力涡轮机的地震研究

• 批准号: 0830422
• 负责人: Ahmed Elgamal
• 金额: $ 37.49万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0830422&HistoricalAwards=false
• 关键词: NEESR; II; Seismic; Study; Wind

This award is an outcome of the NSF 08-519 program solicitation George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) Research (NEESR) competition and includes the University of California, San Diego (UCSD) (lead institution) and Harvey Mudd College (sub-award). This project will utilize the NEES equipment sites at the University of California, Los Angeles (UCLA) and the University of California, San Diego (UCSD). The research outcomes will allow engineers to appropriately and economically account for seismic loading on wind turbines. This will further facilitate expansion of a main source of Green renewable energy, and ensure minimal disruption to the critical resource that wind power provides. The project will be conducted in collaboration with industry representatives in order to further focus the research effort on the most significant practical needs today. Related educational outreach activities will allow undergraduate students to participate in the utilization of the involved NEES world class testing facilities. In addition, the project team will develop related internet dissemination applications for K-12 and undergraduate students. In the United States, the 2006 investment in wind turbines was on the order of $4 billion. This growth shows no sign of slowing with the Department of Energy (DOE) goal of expanding the number of wind turbines fivefold by 2015. A significant portion of this growth is in earthquake prone states. For instance, more than a quarter of the new capacity installed in 2005 and 2006 was in the seismically vulnerable States of California and Washington. New wind turbines are also becoming increasingly taller and heavier, standing vertically in excess of 200 feet (taller than a twenty-story building), and thus increasing the significance of potential earthquake loads. If seismically vulnerable, numerous turbines of a given vintage in a large wind farm may be damaged, leading to substantial economic consequences. In order to address this challenge, the proposed research will utilize NEES facilities to provide the needed experimental data and insights for developing validated rational analysis and design procedures. The NEES equipment operated by UCLA will be used to conduct a comprehensive field investigation to quantify the dynamics of actual operating wind turbines. Experiments using the outdoor UCSD NEES shake table will provide insight into the potential damage modes of wind turbines when subjected to earthquake shaking. Findings from these tests will be used to construct and validate computational models that will further extend the testing results. These models will be used to develop a framework for seismic analysis and design of wind turbines. Intellectual merit in this effort stems from providing the first experimentally validated seismic design procedure for wind turbines worldwide. Data from this project will be made available through the NEES data repository (http://www.nees.org).

该奖项是NSF 08-519计划招标的结果乔治·E·布朗（George E. Brown，Jr。George E.该项目将利用加利福尼亚大学洛杉矶分校（UCLA）和加利福尼亚大学圣地亚哥大学（UCSD）的NEES设备网站。研究结果将使工程师能够适当和经济地解释风力涡轮机上的地震负载。这将进一步促进绿色可再生能源的主要来源，并确保对风能提供的关键资源的最小破坏。该项目将与行业代表合作进行，以便将研究工作进一步关注当今最重要的实际需求。相关的教育外展活动将使本科生可以参与有关NEES世界一流测试设施的利用。此外，项目团队将为K-12和本科生开发相关的互联网传播应用程序。 在美国，2006年对风力涡轮机的投资为40亿美元。这种增长没有显示出能源部（DOE）的目标放缓的迹象，即到2015年将风力涡轮机数量扩大五倍。这种增长的很大一部分是地震俯卧状态。例如，在2005年和2006年安装的新容量中，超过四分之一是在加利福尼亚和华盛顿的地震脆弱状态。 新的风力涡轮机也变得越来越高，更重，垂直站立超过200英尺（比二十层建筑物高），从而增加了潜在地震载荷的意义。如果在地震脆弱的情况下，大型风电场中给定年份的众多涡轮机可能会受到损害，从而造成重大的经济后果。为了应对这一挑战，拟议的研究将利用NEES设施来提供所需的实验数据和见解，以开发验证的理性分析和设计程序。 UCLA运营的NEE设备将用于进行全面的现场调查，以量化实际操作风力涡轮机的动态。使用室外UCSD NEES摇桌的实验将洞悉风力涡轮机的潜在损害模式，并受到地震的震动。这些测试的发现将用于构建和验证计算模型，以进一步扩展测试结果。这些模型将用于开发用于风力涡轮机的地震分析和设计的框架。在这项工作中，智力优点源于为全球风力涡轮机提供第一个实验验证的地震设计程序。该项目的数据将通过NEES数据存储库（http://www.nees.org）提供。