Wind velocity distribution reconstruction using CFD database with Tucker decomposition and sensor measurement
文献类型：期刊论文
| 作者 | Qin L; Liu S; Kang Y; Yan SA; Schlaberg HI; Wang Z(王展)
|
| 刊名 | ENERGY
 |
| 出版日期 | 2019-01-15 |
| 卷号 | 167页码:1236-1250 |
| 关键词 | Wind velocity distribution Third-order CFD database Tucker decomposition Sensor measurement |
| ISSN号 | 0360-5442 |
| DOI | 10.1016/j.energy.2018.11.013 |
| 英文摘要 | 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. |
| 分类号 | 一类 |
| WOS关键词 | NUMERICAL WEATHER PREDICTIONS |
| WOS研究方向 | Thermodynamics ; Energy & Fuels |
| 语种 | 英语 |
| WOS记录号 | WOS:000456351800103 |
| 资助机构 | NSFC [61571189, 61871181] ; State Administration of Foreign Experts Affairs [B13009] |
| 其他责任者 | Qin, L ; Liu, S |
| 源URL | [http://dspace.imech.ac.cn/handle/311007/78250]  |
| 专题 | 力学研究所_流固耦合系统力学重点实验室(2012-) |
| 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. |
入库方式： OAI收割
来源：力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。