Wind tunnel experimental investigation of flow field around two-dimensional single hill models
Yasunari Kamada,
Qing'an Li,
Takao Maeda and
Keisuke Yamada
Renewable Energy, 2019, vol. 136, issue C, 1107-1118
Abstract:
It is important to accurately predict the wind energy distribution on the terrain for proper selection of suitable sites for installing wind farms. This paper presented the airflow turbulent structure of the flow field around a two-dimensional hill model placed in a boundary layer flow with wind tunnel experiments. In order to evaluate the natural wind effect on the proposed model by wind tunnel experiments, an active turbulence grid generating the turbulent flow and a boundary layer generation frame for reproducing the vertical distribution of the atmospheric boundary layer were installed in the wind tunnel outlet. Investigations of the flow field were carried out using a PIV (Particle Image Velocimetry) system capable of non-contact and multiport simultaneous measurement. As a result, it was found that the wind velocity was increased along the hill upstream slope and the flow was separated at the top of the hill. Moreover, the recirculation zone of the 1H model hill was larger than that of the 2H model hill. The turbulence intensity on the topside of the hill was higher than that in the 1H model. Meanwhile, the turbulence intensity behind the hill became small. This experimental analysis has been established as an important design tool, validating the wind parameters, so as to make power generation more accurate and reliable in complex terrain.
Keywords: Flow field; Active turbulence grids; Boundary layer generation frame; Turbulence intensity; PIV (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148118311571
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:1107-1118
DOI: 10.1016/j.renene.2018.09.083
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 ().