| High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm | |
Yang XL(杨晓雷)1,2 ; Milliren, Christopher3; Kistner, Matt4; Hogg, Christopher5; Marr, Jeff3; Shen, Lian3,6; Sotiropoulos, Fotis7
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| Corresponding Author | Sotiropoulos, Fotis([email protected]) |
| Source Publication | APPLIED ENERGY
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| 2021 | |
| Volume | 281Pages:17 |
| ISSN | 0306-2619 |
| Abstract | Characterizing wind farm flow fields at high temporal and spatial resolutions is critical prerequisite for the optimal design and operation of utility-scale wind farms and for reducing the levelized cost of energy. However, due to the large disparity of underlying scales, measurements or simulations alone cannot provide high resolution wind fields, which are informed by and account for the effect of both large scale (i.e. hour, day, month and year) and small scale (i.e. second and minute) site-specific variations in the atmosphere. We explore the feasibility of integrating field measurements and high-fidelity large-eddy simulation (LES) to characterize the wind field in a utility-scale wind farm while accounting for flow phenomena across multiple temporal scales. Specifically, we employ field measurements to characterize the monthly wind speed and wind direction distributions and investigate the wind characteristics in turbine wakes. It was found that the probability density function (PDF) of the wind speed in turbine wakes can be reasonably represented using the Weibull distribution but with shape factors smaller than those not in the wake. LES of the wind farm under statistically steady inflow is subsequently carried out for one wind direction. The LES predictions are compared with the measured data conditionally averaged based on the wind speed, wind direction and the root-mean-square of wind speed fluctuations over time intervals of 30 min. Good agreement is obtained for both mean wind speed and turbulence intensity. The present work shows the possibility of integrating field measurements and high-fidelity simulations for improved characterization of the site-specific wind fields in utility-scale wind farms. |
| Keyword | Wind farms Wind characterization Large-eddy simulation Field measurements |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000591381500010 |
| WOS Keyword | LARGE-EDDY SIMULATION ; RESOURCE ASSESSMENT ; TURBINE WAKES ; TURBULENCE ; MODELS ; METHODOLOGY ; DYNAMICS ; STATE ; LIDAR |
| WOS Research Area | Energy & Fuels ; Engineering |
| WOS Subject | Energy & Fuels ; Engineering, Chemical |
| Funding Project | Xcel Energy, United States through the Renewable Development Fund[RD4-13] ; Xcel Energy, United States through the Renewable Development Fund[HE4-3] |
| Funding Organization | Xcel Energy, United States through the Renewable Development Fund |
| Classification | 一类 |
| Ranking | 1 |
| Contributor | Sotiropoulos, Fotis |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://dspace.imech.ac.cn/handle/311007/85868 |
| Collection | 非线性力学国家重点实验室 |
| Affiliation | 1.Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech LNM, Beijing 100190, Peoples R China; 2.Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China; 3.Univ Minnesota, St Anthony Falls Lab, Minneapolis, MN 55414 USA; 4.Barr Engn, Minneapolis, MN 55435 USA; 5.Xcel Energy, Minneapolis, MN 55401 USA; 6.Univ Minnesota, Dept Mech Engn, 111 Church St SE, Minneapolis, MN 55455 USA; 7.SUNY Stony Brook, Dept Civil Engn, Coll Engn & Appl Sci, Stony Brook, NY 11794 USA |
| Recommended Citation GB/T 7714 | Yang XL,Milliren, Christopher,Kistner, Matt,et al. High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm[J]. APPLIED ENERGY,2021,281:17.Rp_Au:Sotiropoulos, Fotis |
| APA | 杨晓雷.,Milliren, Christopher.,Kistner, Matt.,Hogg, Christopher.,Marr, Jeff.,...&Sotiropoulos, Fotis.(2021).High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm.APPLIED ENERGY,281,17. |
| MLA | 杨晓雷,et al."High-fidelity simulations and field measurements for characterizing wind fields in a utility-scale wind farm".APPLIED ENERGY 281(2021):17. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Jp2021070.pdf（7633KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Application Full Text | |
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