Study of the flow fields over simplified topographies with different roughness conditions using large eddy simulations
Zhenqing Liu,
Zheng Diao and
Takeshi Ishihara
Renewable Energy, 2019, vol. 136, issue C, 968-992
Abstract:
The parameters influencing the wind turbine fatigue load calculations, such as two-point correlations Ruu, power spectrum density Su, turbulent length scale Lu, skewness Sku, and kurtosis Kuu of the wind are examined. Four simplified topographies, i.e., a 3D hill with smooth ground (3Ds), a 3D hill with rough ground (3Dr), a 2D ridge with smooth ground (2Ds), and a 2D ridge with rough ground (2Dr) are considered to investigate the influence from the shape of the topography and the ground roughness conditions. Ruu was found to vary considerably for different hill shapes and ground roughness conditions. Sku and Kuu peaked in the shear layer region in the smooth cases, but not in the rough cases. Su exhibited concentration in the wake in the 3Ds, 3Dr, and 2Ds cases, but not in the 2Dr case. In addition, a prominent increase in Lux was observed just above the summit of the smooth 3D hill. The flow fields were further visualized using the enstrophy and Q-criteria. Coherent turbulent structures were observed to exist in the wake in the 3Ds, 3Dr, and 2Ds cases, whereas the flow was highly mixed in the wake in the 2Dr case.
Keywords: LES; Topography; Turbulence flow fields; Vegetation canopy (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119300321
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:136:y:2019:i:c:p:968-992
DOI: 10.1016/j.renene.2019.01.032
Access Statistics for this article
Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides
More articles in Renewable Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().