Characterization of Surface Wind Energy Resources and Wake Interferences among Wind Turbines over Complex Terrains for Optimal Site Design and Turbine Durability

1133751 Pi Huu虽然已经进行了多项研究，以调查多台风力涡轮机之间的尾迹干扰，以优化风电场中风力涡轮机的布局设计，但以前的大多数模型都是在简化的平面上考虑均匀的直线风。大多数陆上风力涡轮机位于复杂地形的风力发电场，地形并不平坦。一个更现实的模型将考虑安装在具有复杂地形的陆上风力发电场中的多台风力涡轮机，这些地形包括丘陵、山谷、山脊和悬崖。此外，需要考虑复杂地形上地面风流动特征(空间和时间)的显著变化对风力涡轮机之间的发电效率、疲劳负荷和尾迹干扰的影响。在这个项目中，PI将进行一项基础性研究，以量化陆上风电场中典型复杂地形上的平均和湍流特征，并调查安装在复杂地形上的多台风力涡轮机之间的尾流干扰。在这个项目中，爱荷华州立大学的大型空气动力学/大气边界层(AABL)风洞将被用来量化位于平坦表面(基线情况)和具有非均匀表面风的复杂地形上的一系列风力涡轮机的性能。除了测量动态风荷载和风力涡轮机的功率输出外，还将使用先进的流动诊断技术，如粒子图像测速仪(PIV)和平面激光诱导荧光(PLIF)，以确定详细的流场特征，如地表风的平均和湍流特征以及复杂地形中的尾流干扰。详细的流场测量将与动态风荷载和功率输出测量相关联。该项目的结果将有助于更好地了解复杂地形上的基本物理和地表风能资源的特征。就更广泛的影响而言，该研究计划将通过在现有的空气动力学实验室课程中增加风力涡轮机空气动力学实验模块，纳入爱荷华州立大学S的本科生和研究生课程。该项目的成果将被广泛传播，为风能和风力涡轮机技术的知识库做出贡献。爱荷华州立大学现有的项目将被用来招收更多的女性和少数族裔学生。将为K-12阶段的教师和学生开展《可再生能源与风力发电技术》研讨会和示范实验。研究、教育和推广活动预计将对爱荷华州立大学的土地赠与使命做出重大贡献。该项目的成果将被用于开发更现实的模型，以预测复杂地形上的多个尾迹相互作用，并优化风力涡轮机阵列的最佳现场设计范例，以获得更高的功率产量、更好的完整性和更长的涡轮机耐用性。

1133751 PI HuWhile a number of studies have been conducted to investigate wake interference among multiple wind turbines for the optimal layout design of wind turbines in a wind farm, most previous models involved homogenous straight-line winds over simplified flat surfaces. Most onshore wind turbines are sited in wind farms with complex terrains, which are not flat. A more realistic model would account for multiple wind turbines sited in an onshore wind farm with complex terrains such as hills, valleys, ridges and escarpments. In addition, the effects of the significant variations in flow characteristics (spatial and temporal) of the surface winds over complex terrains on the power productivity, fatigue loads, and wake interference among wind turbines need to be taken into account. In this project, the PIs will perform a fundamental study to quantify the mean and turbulence characteristics of the surface winds over typical complex terrains seen in onshore wind farms and to investigate the wake interference among multiple wind turbines sited over the complex terrains. In this project the large-scale Aerodynamic/Atmospheric Boundary Layer (AABL) Wind and Wind Tunnel at Iowa State University will be used to quantify the performance of an array of wind turbines sited over a flat surface (baseline case) and complex terrains with non-homogenous surface winds. In addition to measuring dynamic wind loads and the power outputs of the wind turbines, advanced flow diagnostic techniques such as Particle Image Velocimetry (PIV) and Planar Laser Induced Fluorescence (PLIF) will be used to determine detailed flow field characteristics such as the mean and turbulence characteristics of the surface winds and wake interference in complex terrains. The detailed flow field measurements will be correlated with the dynamic wind loads and power output measurements. The results of this project will lead to a better understanding of underlying physics and the characteristics of surface wind energy resources over complex terrains. In terms of the broader impacts, the research program will be incorporated into the Iowa State?s curricula, both undergraduate and graduate, by adding wind turbine aerodynamics experiment modules to the existing aerodynamics laboratory courses. The findings derived from the project will be disseminated broadly to contribute to the knowledge base of wind energy and wind turbine technology. Existing programs at Iowa State will be leveraged to recruit more female and minority students. "Renewable Energy and Wind Turbine Technology" seminars and demonstration experiments will be developed for K-12 teachers and students. The research, education, and outreach activities are expected to make a significant contribution to the land-grant mission of Iowa State University. The findings derived from this project will be used to develop more realistic models to predict multiple wake interactions over complex terrains and to optimize paradigms for the optimal site design of wind turbine arrays with higher power yield, better integrity, and longer durability of the turbines.