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	基于粒子尾流模型的风电场风资源评估系统
	吴兵恒 ; 宋梦譞 ; 陈凯 ; 何仲阳 ; 张兴 ; WU Bing-Heng ; SONG Meng-Xuan ; CHEN Kai ; ZHANG Xing ; School of Aerospace
	2016-03-30 ; 2016-03-30
关键词	风能 风资源评估 CFD 粒子尾流模型 insulator leakage current flashover voltage relative humidity online monitoring pre-warning system TM614
其他题名	Wind Resource Assessment System of Wind Farm based on Particle Wake Model
中文摘要	煤炭、石油和天然气等化石能源面临着枯竭,各国争相开发利用可再生能源,风能是目前最具开发利用潜力的可再生能源。风能受地理条件和周围环境的影响大,所以风电场的风资源评估在选址、运营和预测方面都至关重要。本文开发了一套风电场风资源评估系统,它充分考虑了地形、当地风速风向、风电场使用的风力机类型和风力机间的尾流影响,采用基于风力机特性的粒子尾流模型,通过CFD计算,得到风电场的功率输出和风资源分布,此系统既可应用于风电场建造前的选址和评估,也可应用于运营中的检验和预测,有很强的工程应用价值。本文通过澳大利亚Wattle Point Wind Farm(WPWF)实测数据对评估系统的可靠性和精确度进行了验证。; To mitigate the global energy crisis and environmental pollution,people in many countries are investigating how to extract energy from renewable sources,among which wind energy is one of the most potential sources in business.The geographical conditions and surroundings influence the wind energy significantly and wind resource assessment plays an essential part in siting,operation and prediction of wind farm.In this paper a wind resource assessment system of wind farm is developed,which considers fully of terrain,local wind directory and speed,the property of turbines and wake effects.In the system,the particle wake model is based on the property of turbines while flow fields are simulated with the Computational Fluid Dynamics(CFD) model.The system has strong engineering applicability and it can be applied in siting and assessment before constructing the wind farms,testing and prediction in operating the wind farms.The reliability and accuracy of the wind resource assessment system are tested by the data from Wattle Point Wind Farm(WPWF) in Australia.
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://ir.lib.tsinghua.edu.cn/ir/item.do?handle=123456789/143710]
专题	清华大学
推荐引用方式 GB/T 7714	吴兵恒,宋梦譞,陈凯,等. 基于粒子尾流模型的风电场风资源评估系统[J],2016, 2016.
APA	吴兵恒.,宋梦譞.,陈凯.,何仲阳.,张兴.,...&School of Aerospace.(2016).基于粒子尾流模型的风电场风资源评估系统..
MLA	吴兵恒,et al."基于粒子尾流模型的风电场风资源评估系统".(2016).

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