Wei Tian

Dr. Wei Tian


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2019 in Experimental Thermal and Fluid Science
Verified
Journal Article
Closed access
Yang LiuYang Liu
Yang Liu
LLLinkai Li
Linkai Li
Wen-Li ChenWen-Li Chen
Wen-Li Chen
WTWei Tian
Wei Tian
HHHui Hu
Hui Hu

1 January 2016 in Journal of Fluids and Structures
Verified
Journal Article
Open access
WTWei Tian
Wei Tian
ABAndrew Bodling
Andrew Bodling
HLHong Liu
Hong Liu
JWJames C. Wu
James C. Wu
GHGuowei He
Guowei He
HHHui Hu
Hui Hu


1 December 2014 in Physics of Fluids
Verified
Journal Article
Closed access
PDF file
WTWei Tian
Wei Tian
AOAhmet Ozbay
Ahmet Ozbay
HHHui Hu
Hui Hu
An experimental investigation was conducted to examine the effects of incoming surface wind conditions on the wake characteristics and dynamic wind loads acting on a wind turbine model. The experimental study was performed in a large-scale wind tunnel with a scaled three-blade Horizontal Axial Wind Turbine model placed in two different types of Atmospheric Boundary Layer (ABL) winds with distinct mean and turbulence characteristics. In addition to measuring dynamic wind loads acting on the model turbine by using a force-moment sensor, a high-resolution Particle Image Velocimetry system was used to achieve detailed flow field measurements to characterize the turbulent wake flows behind the model turbine. The measurement results reveal clearly that the discrepancies in the incoming surface winds would affect the wake characteristics and dynamic wind loads acting on the model turbine dramatically. The dynamic wind loads acting on the model turbine were found to fluctuate much more significantly, thereby, much larger fatigue loads, for the case with the wind turbine model sited in the incoming ABL wind with higher turbulence intensity levels. The turbulent kinetic energy and Reynolds stress levels in the wake behind the model turbine were also found to be significantly higher for the high turbulence inflow case, in comparison to those of the low turbulence inflow case. The flow characteristics in the turbine wake were found to be dominated by the formation, shedding, and breakdown of various unsteady wake vortices. In comparison with the case with relatively low turbulence intensities in the incoming ABL wind, much more turbulent and randomly shedding, faster dissipation, and earlier breakdown of the wake vortices were observed for the high turbulence inflow case, which would promote the vertical transport of kinetic energy by entraining more high-speed airflow from above to re-charge the wake flow and result in a much faster recovery of the velocity deficits in the turbine wake.

1 May 2018 in Energy Conversion and Management
Verified
Journal Article
Closed access
ZWZhenyu Wang
Zhenyu Wang
WTWei Tian
Wei Tian
HHHui Hu
Hui Hu

13 October 2015 in Journal of Engineering for Gas Turbines and Power
Verified
Journal Article
Closed access
PDF file
AOAhmet Ozbay
Ahmet Ozbay
WTWei Tian
Wei Tian
HHHui Hu
Hui Hu
An experimental study was carried out to investigate the aeromechanics and wake characteristics of dual-rotor wind turbines (DRWTs) in either co-rotating or counter-rotating configuration, in comparison to those of a conventional single-rotor wind turbine (SRWT). The experiments were performed in a large-scale aerodynamic/atmospheric boundary layer (AABL) wind tunnel, available at Iowa State University with the oncoming atmospheric boundary-layer (ABL) airflows under neutral stability conditions. In addition to measuring the power output performance of DRWT and SRWT models, static and dynamic wind loads acting on those turbine models were also investigated. Furthermore, a high-resolution digital particle image velocimetry (PIV) system was used to quantify the flow characteristics in the near wakes of the DRWT and SRWT models. The detailed wake-flow measurements were correlated with the power outputs and wind-load measurement results of the wind-turbine models to elucidate the underlying physics to explore/optimize design of wind turbines for higher power yield and better durability.