EconPapers    
Economics at your fingertips  
 

Investigations of flow field around two-dimensional simplified models with wind tunnel experiments

Li, Qing’an, Yasunari Kamada, Takao Maeda and Keisuke Yamada

Renewable Energy, 2020, vol. 152, issue C, 270-282

Abstract: The effect of topographic features on wind velocity and turbulence intensity was evaluated by conducting wind tunnel experiments with Particle Image Velocimetry (PIV) system. In this study, to simulate the natural wind characteristics, the active turbulence grids and boundary layer generation frame were installed in the wind tunnel. The mean wind velocity, the velocity vector diagram and the turbulence intensity around the two-dimensional single simplified models were investigated. As a result, the flow was separated at the simplified model tip in all cases of models, and the countercurrent flow field was generated at the downstream side. Moreover, the clockwise circulation flow also moved to the upstream side in the case of large radius R. RX was followed by the name given the radius value of X. For the mainstream turbulence intensity, the ranges of high turbulence intensity were z/H < 2.8 for R1 model, z/H < 2.6 for R3 model, z/H < 2.5 for R6 model, z/H < 2.4 for R11 model, z/H < 2.2 for R20 model, z/H < 2.0 for R23 model, z/H < 1.9 for R25 model in the vertical direction. The quantitative measurement results of this paper provided a database for the validation of the wind velocity distributions of atmospheric turbulent flow in the hill and mountain regions.

Keywords: Active turbulence grids; Turbulence intensity; PIV; Countercurrent flow; Wind tunnel (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119319184
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:152:y:2020:i:c:p:270-282

DOI: 10.1016/j.renene.2019.12.046

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 ().

 
Page updated 2025-03-19
Handle: RePEc:eee:renene:v:152:y:2020:i:c:p:270-282