Research Initiation Award: Uncertainty Modeling, Probabilistic Models, and Life-cycle Reliability of Floating Offshore Wind Turbines

研究启动奖：浮动海上风力发电机的不确定性建模、概率模型和生命周期可靠性

• 批准号: 1700406
• 负责人: Doeun Choe
• 金额: $ 30万
• 依托单位: Prairie View A & M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-15 至 2021-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1700406&HistoricalAwards=false
• 关键词: Research; Initiation; Award; Uncertainty; Modeling

Research Initiation Awards provide support for faculty at Historically Black Colleges and Universities who are building a research program. It is expected that the award helps to further the faculty member's research capability and effectiveness, improves research and teaching at her home institution, and involves undergraduate students in research experiences. The award to Prairie View A&M University has potential broader and societal impact in a number of areas. Floating offshore wind turbines (FOWTs) have been considered as one of the most promising alternatives to access energy resources with vast available space and fewer restrictions and regulations. The project seeks to analyze floating offshore wind turbine uncertainties that arise due to the ocean environment and hydrodynamic calculations, as well as due to uncertainties in the structural and mechanical systems, which threaten the reliability and the feasibility of FOWTs. Undergraduate students, high school students and students from community colleges will gain research experiences through this project. The current floating offshore wind turbine technologies have challenges to be resolved in order to produce sustainable and cost-effective power. Semi-submersible type FOWTs are known to be one of the most promising options with construction and maintenance cost problems yet to be solved. This project focuses on identification of the uncertainties and on estimating the structural safety factors. The research objectives of this project are to: understand the uncertainties that exist in FOWTs; predict the structural behavior and life-cycle structural reliability of FOWTs; and obtain safety factors for structural design of semi-submersible-type FOWTs that uniquely consider the uncertainties and coupled dynamics of aerodynamics of the wind turbine and hydrodynamics of the floating body under extreme environmental loads. By considering the uncertainties found, the probabilistic capacity and demand models for structural components of FOWTs will be developed using a Bayesian Method. Lastly, the developed models will be used to estimate the life-cycle structural reliability and to obtain the safety factors for the base tower moment and shear forces of FOWTs. The results of this research may eventually reduce the current challenge of the high cost of FOWTs.

研究启动奖为正在建立研究计划的历史悠久的黑人学院和大学提供了支持。预计该奖项有助于进一步进一步发展教职员工的研究能力和有效性，改善其家庭机构的研究和教学，并让本科生参与研究经验。在许多领域，授予草原观点A＆M大学的奖项具有更广泛的社会影响。漂浮的海上风力涡轮机（FOWT）被认为是访问具有巨大空间和更少限制和法规的能源资源的最有希望的替代方案之一。该项目旨在分析由于海洋环境和流体动力学计算而产生的浮动风力涡轮机不确定性，以及由于结构和机械系统中的不确定性，这威胁了Fowts的可靠性和可行性。本科生，高中生和社区大学的学生将通过该项目获得研究经验。目前的浮动海上风力涡轮机技术需要解决挑战，以产生可持续和具有成本效益的能力。众所周知，半可熟悉的禽类是最有前途的选择之一，尚未解决结构和维护成本问题。该项目着重于识别不确定性并估算结构安全因素。该项目的研究目标是：了解禽类中存在的不确定性；预测家禽的结构行为和生命周期结构可靠性； 并获得半可熟悉型禽类的结构设计的安全因子，这些禽类独特地考虑了风力涡轮机空气动力学的不确定性和耦合动力学以及在极端环境载荷下浮动体的流体动力学。通过考虑发现的不确定性，将使用贝叶斯方法开发饲料结构成分的概率能力和需求模型。最后，开发的模型将用于估计生命周期的结构可靠性，并获得基本塔矩和禽类剪切力的安全因子。这项研究的结果最终可能会减少当前对禽类成本的挑战。