Collaborative Research: On Wind Turbine Loads Assessment for Fatigue and Extreme Failure Limit States in Contrasting Atmospheric Stability Conditions

合作研究：对比大气稳定条件下疲劳和极端失效极限状态的风力涡轮机负载评估

• 批准号: 0967816
• 负责人: Lance Manuel
• 金额: $ 13.95万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0967816&HistoricalAwards=false
• 关键词: Collaborative; Research; Wind; Turbine; Loads

0967816 / 0967482Manuel / BasuIn the last decade, wind energy has witnessed faster growth than all other renewable energy sectors, with over 25% annual growth. While this is encouraging news, there are also three technical challenges facing wind energy. First, models used in the design process for simulating turbulence do not cover the range of atmospheric conditions likely to introduce critical events (e.g., high shear across a turbine rotor), especially in the Great Plains region. Second, wind turbines in service are aging, and failures, especially due to fatigue of composite materials used for blades, demand attention. Finally, refinements in design philosophy and practice are needed that are informed by state-of-the-art capabilities in atmospheric boundary layer modeling and stochastic wind turbine aeroelastic response simulation. Intellectual MeritThis collaborative research seeks to extend the design paradigm for wind turbines to the reliability-based assessment of performance against fatigue and extreme limit states. Specifically, turbine loads will be evaluated under various suites of inflow turbulence flow fields generated with spatial structure that reflects a range of atmospheric stability conditions. The proposed work plan will focus on development of four dimensional synthetic turbulence time series based on tuning-free large-eddy simulations along with mesoscale model forecasts. These simulated flows will feed into aeroelastic models of utility-scale wind turbines whose response statistics will be developed using extensive time-domain simulations representing varying inflow conditions over the long term. Load extreme values will be analyzed in evaluating ultimate limit states, whereas cumulative damage and life assessment will be analyzed in evaluating the fatigue limit states. Refinements to current design specifications (e.g. by the International Electrotechnical Commission) will be proposed based on findings from this study.This research is innovative and potentially transformative because it will use realistic atmospheric flows as the inflow conditions to the wind turbine simulation. Consequently, the proposed research will uniquely enable the simulation of wind turbine performance under realistic field conditions.Broader ImpactsThe education and outreach activities are centered on wind energy. The education plan will provide opportunities for students to develop skills in state-of-the-art computational techniques at the interface of atmospheric science and wind energy technology. Summer internship opportunities with Sandia National Laboratories in wind energy technology will be provided for undergraduate and graduate students. At the K-12 level, the PIs have established relationships with teachers at local school districts in Central and West Texas to create the Run on the Wind/Engineering a Clean Tomorrow summer camp.

0967816 / 0967482Manuel / Basu 在过去十年中，风能的增长速度超过所有其他可再生能源领域，年增长率超过 25%。虽然这是一个令人鼓舞的消息，但风能也面临着三个技术挑战。 首先，设计过程中用于模拟湍流的模型不涵盖可能引发关键事件（例如涡轮机转子上的高剪切力）的大气条件范围，特别是在大平原地区。 其次，在役风力发电机老化、失效尤其是叶片复合材料疲劳引起的失效需要引起重视。 最后，需要通过大气边界层建模和随机风力涡轮机气动弹性响应模拟的最先进能力来改进设计理念和实践。智力优势这项合作研究旨在将风力涡轮机的设计范式扩展到基于可靠性的疲劳和极端极限状态性能评估。 具体来说，涡轮机载荷将在各种流入湍流流场下进行评估，这些流入湍流流场是由反映一系列大气稳定性条件的空间结构生成的。 拟议的工作计划将侧重于基于免调整大涡模拟和中尺度模型预测的四维合成湍流时间序列的开发。 这些模拟流将输入公用事业规模风力涡轮机的气动弹性模型，其响应统计数据将使用代表长期变化的流入条件的广泛时域模拟来开发。 在评估极限状态时将分析载荷极值，而在评估疲劳极限状态时将分析累积损伤和寿命评估。 将根据这项研究的结果提出对当前设计规范（例如国际电工委员会）的改进。这项研究具有创新性和潜在的变革性，因为它将使用真实的大气流作为风力涡轮机模拟的流入条件。 因此，所提出的研究将独特地实现在真实现场条件下模拟风力涡轮机的性能。更广泛的影响教育和推广活动以风能为中心。 该教育计划将为学生提供发展大气科学和风能技术交叉领域最先进计算技术技能的机会。 将为本科生和研究生提供桑迪亚国家实验室风能技术暑期实习机会。 在 K-12 年级，PI 与德克萨斯州中部和西部当地学区的教师建立了关系，以创建“乘风奔跑/设计清洁明天”夏令营。