Understanding Electromagnetic Scattering from Wind Farms
了解风电场的电磁散射
基本信息
- 批准号:1232152
- 负责人:
- 金额:$ 33.68万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2012
- 资助国家:美国
- 起止时间:2012-09-01 至 2016-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Objective: While wind power is becoming an important source of alternative energy, the adverse effect of wind farms on existing radar systems is raising serious concerns. The objective of this research is to gain an in-depth understanding of electromagnetic scattering from wind farms. Our approach entails: (i) developing simulation techniques to predict and analyze dynamic radar signatures of wind farms, (ii) developing radar facility and measurement techniques to acquire scaled model and in-situ data from wind farms, and (iii) exploiting the knowledge for interference mitigation and turbine monitoring applications. Intellectual Merit: The proposed research will lead to an in-depth understanding of the dynamic radar signatures of large wind farms. In the process, efficient simulation and measurement techniques will be developed to study the scattering from rotating turbine blades. These techniques will be applicable to a much wider class of problems where the main radar features of interest lie in how target structural changes are manifested in the time-varying radar returns. Examples include tracking of human activities and structural monitoring of large buildings and bridges. Broader Impact: The proposed research will result in a better integration of wind power with existing radar infrastructures. The research findings will lead to technology advancement in interference mitigation and structural monitoring techniques. The developed radar measurement facility will be made available to academic researchers, and should significantly bolster the research and education infrastructure in radar. A number of outreach activities are planned to inspire K-12 students to pursue careers in science and engineering.
目的:在风力发电成为重要的替代能源的同时,风电场对现有雷达系统的不利影响也引起了人们的严重关注。本研究的目的是深入了解风电场的电磁散射特性。我们的方法包括:(I)开发模拟技术来预测和分析风电场的动态雷达特征,(Ii)开发雷达设施和测量技术来从风电场获取缩尺模型和现场数据,以及(Iii)利用这些知识来减少干扰和涡轮机监控应用。智力价值:拟议的研究将导致对大型风电场的动态雷达特征的深入了解。在此过程中,将发展有效的模拟和测量技术来研究旋转涡轮叶片的散射。这些技术将适用于更广泛的一类问题,其中令人感兴趣的主要雷达特征在于目标结构变化如何在时变的雷达回波中表现出来。例如对人类活动的跟踪和对大型建筑物和桥梁的结构监测。更广泛的影响:拟议的研究将导致风力发电与现有雷达基础设施更好地整合。研究成果将推动干扰缓解和结构监测技术的技术进步。开发的雷达测量设施将提供给学术研究人员,并应大大支持雷达的研究和教育基础设施。计划开展一系列外展活动,激励K-12年级的学生投身科学和工程领域。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
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Ali Yilmaz其他文献
Retinal nerve fibre and ganglion cell inner plexiform layer analysis by optical coherence tomography in asymptomatic empty sella patients
无症状空蝶鞍患者视网膜神经纤维和神经节细胞内丛状层光学相干断层扫描分析
- DOI:
10.1080/00207454.2019.1660328 - 发表时间:
2020 - 期刊:
- 影响因子:2.2
- 作者:
Ali Yilmaz;M. Gok;Hilal Altaş;T. Yildirim;Ş. Kaygisiz;H. Işık - 通讯作者:
H. Işık
Diagnostic value of bone scintigraphy versus cardiovascular magnetic resonance in cardiac amyloidosis
骨闪烁显像与心血管磁共振在心脏淀粉样变性中的诊断价值
- DOI:
10.1016/j.jocmr.2025.101859 - 发表时间:
2025-06-01 - 期刊:
- 影响因子:6.100
- 作者:
Josefin Obergassel;Michael Bietenbeck;Nuriye Akyol;Volker Vehof;Claudia Meier;Maria Theofanidou;Philipp Stalling;Ali Yilmaz - 通讯作者:
Ali Yilmaz
Frequency of familial Mediterranean fever (MEFV) gene mutations in patients with biopsy-proven primary glomerulonephritis
- DOI:
10.1007/s10067-017-3701-y - 发表时间:
2017-06-01 - 期刊:
- 影响因子:2.800
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Can Huzmeli;Ferhan Candan;Gokhan Bagci;Demet Alaygut;Ali Yilmaz;Asim Gedikli;Binnur Bagci;Meryem Timucin;Ilhan Sezgin;Mansur Kayatas - 通讯作者:
Mansur Kayatas
Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence
- DOI:
10.1038/s41598-025-85216-7 - 发表时间:
2025-01-15 - 期刊:
- 影响因子:3.900
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Ray Bahado-Singh;Nadia Ashrafi;Amin Ibrahim;Buket Aydas;Ali Yilmaz;Perry Friedman;Stewart F. Graham;Onur Turkoglu - 通讯作者:
Onur Turkoglu
Regression of cardiac amyloid load documented by cardiovascular magnetic resonance in a patient with hereditary amyloidosis
- DOI:
10.1007/s00392-020-01611-2 - 发表时间:
2020-02-11 - 期刊:
- 影响因子:3.700
- 作者:
Anca Florian;Michael Bietenbeck;Grigorios Chatzantonis;Anna Hüsing-Kabar;Hartmut Schmidt;Ali Yilmaz - 通讯作者:
Ali Yilmaz
Ali Yilmaz的其他文献
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{{ truncateString('Ali Yilmaz', 18)}}的其他基金
High-Fidelity Simulation of Bioelectromagnetic Effects on the Human Body with Petascale Computers
使用千万亿级计算机高保真模拟生物电磁对人体的影响
- 批准号:
0904907 - 财政年份:2009
- 资助金额:
$ 33.68万 - 项目类别:
Standard Grant
Modeling and Understanding of Radiowave Propagation in Forested Environments
森林环境中无线电波传播的建模和理解
- 批准号:
0725729 - 财政年份:2007
- 资助金额:
$ 33.68万 - 项目类别:
Continuing Grant
Fast Fourier Transform Accelerated Multiscale Algorithms for Computational Electromagnetics
计算电磁学的快速傅里叶变换加速多尺度算法
- 批准号:
0728828 - 财政年份:2007
- 资助金额:
$ 33.68万 - 项目类别:
Standard Grant
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