Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement

doi:10.1016/j.energy.2018.11.013

IMECH-IR > 流固耦合系统力学重点实验室

	Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement
	Qin L ; Liu S ; Kang Y ; Yan SA ; Schlaberg HI ; Wang Z(王展)
发表期刊	ENERGY
	2019-01-15
卷号	167 页码:1236-1250
ISSN	0360-5442
摘要	Wind forecasting holds the key to the management of wind power. Previous vector or matrix wind forecast methods may not best reflect the intrinsic inter relationship among the wind velocity components of a three-dimensional wind field. Alternatively, a tensor-based model is developed to reconstruct the wind velocity distribution within a short period of time, enabling a new way for wind forecasting. A third-order CFD database is established by CFD simulations and the Tucker decomposition is used to obtain the tensor basis off site. Then in real time, the tensor basis can be employed to rapidly reconstruct wind velocity distributions in any direction, which can also form a new way to reconstruct wind velocity distribution in 3-D spaces. A comparison of the maximum and relative reconstruction errors shows that the newly proposed method performs better than the authors' previously published wind field reconstruction method. The influences of sampling rate, noise level and sensor distributions on the reconstruction error are also discussed in this paper. Finally, a wind tunnel experiment is carried out to evaluate the accuracy of the proposed method, and in most cases, the experimental results show that relative errors drop around 0.03%-0.4% and maximum errors drop around 0.02%-1.7% when using the newly proposed method. (C) 2018 Elsevier Ltd. All rights reserved.
关键词	Wind velocity distribution Third-order CFD database Tucker decomposition Sensor measurement
DOI	10.1016/j.energy.2018.11.013
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000456351800103
关键词[WOS]	NUMERICAL WEATHER PREDICTIONS
WOS研究方向	Thermodynamics ; Energy & Fuels
WOS类目	Thermodynamics ; Energy & Fuels
项目资助者	NSFC [61571189, 61871181] ; State Administration of Foreign Experts Affairs [B13009]
论文分区	一类
力学所作者排名	5+
RpAuthor	Qin, L ; Liu, S
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://dspace.imech.ac.cn/handle/311007/78250
专题	流固耦合系统力学重点实验室
作者单位	1.North China Elect Power Univ, Sch Energy Power & Mech Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Qin L,Liu S,Kang Y,et al. Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement[J]. ENERGY,2019,167:1236-1250.
APA	Qin L,Liu S,Kang Y,Yan SA,Schlaberg HI,&王展.(2019).Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement.ENERGY,167,1236-1250.
MLA	Qin L,et al."Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement".ENERGY 167(2019):1236-1250.

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