Hongwei Liu

Dr. Hongwei Liu

School of Mechanical Engineering, Zhejiang University, Zheda Rd.38, Hangzhou 310027, China

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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1 September 2019 in Energy
Verified
Journal Article
Closed access
YLYangjian Li
Yangjian Li
Hongwei LiuHongwei Liu
Hongwei Liu
YLYonggang Lin
Yonggang Lin
WLWei Li
Wei Li
YGYajing Gu
Yajing Gu

6 April 2020 in Wind Energy
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Journal Article
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PDF file
WCWenting Chen
Wenting Chen
XWXiaoyun Wang
Xiaoyun Wang
FZFusen Zhang
Fusen Zhang
Hongwei LiuHongwei Liu
Hongwei Liu
YLYonggang Lin
Yonggang Lin

Verified
Journal Article
Open access
PDF file
YGYajing Gu
Yajing Gu
TZTian Zou
Tian Zou
Hongwei LiuHongwei Liu
Hongwei Liu
YLYonggang Lin
Yonggang Lin
HRHe Ren
He Ren
QLQingjun Li
Qingjun Li
Over the past few decades, marine current energy utilization has transitioned from conceptual demonstrations to industrial-scale prototypes. This progression now approaches a crucial phase emphasizing the need for industrialization and commercialization. This paper provides an in-depth examination of the developmental status of large-scale marine current turbines and arrays, underscoring the promising prospects for marine current energy systems. Despite the significant advancements, the deployment of these systems has revealed several challenges, including blade design optimization, transmission system selection, and the establishment of appropriate test sites. Addressing these issues is essential for technological maturity and economic feasibility, which will foster the next wave of innovation in marine energy systems. Furthermore, the paper offers various perspectives for future applications.

7 January 2025 in Renewable Energy
Verified
Journal Article
Closed access
WHWeifei Hu
Weifei Hu
JFJianhao Fang
Jianhao Fang
YZYaxuan Zhang
Yaxuan Zhang
ZLZhenyu Liu
Zhenyu Liu
AVAmrit Shankar Verma
Amrit Shankar Verma
JTJianrong Tan
Jianrong Tan

1 January 2023 in Physics of Fluids
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Journal Article
Closed access
PDF file
YGYanjing Gao
Yanjing Gao
Hongwei LiuHongwei Liu
Hongwei Liu
GGGuanzhu Guo
Guanzhu Guo
YLYonggang Lin
Yonggang Lin
YGYajing Gu
Yajing Gu
YNYiming Ni
Yiming Ni
With the development of large-scale tidal current turbines and the increase in tidal current velocity, the possibility of cavitation increases. Furthermore, unsteady cavitation is a complicated multiphase flow that causes power degradation of tidal current turbine blade. There has been no comprehensive investigation of it so far. In this study, the blade captured power is obtained at different cavitation numbers using the Schnerr–Sauer cavitation model. The numerical uncertainty for the mesh and the time step is calculated by the grid convergence index method. It has been shown that, when the cavitation number is 5 and 2, cavitation has no effect on the blade power. With the decrease in the cavitation number, the rise in cavitation intensity occurs when the vapor distribution area stretches from the blade tip to the blade root and from the leading edge to the trailing edge, respectively. With a fall in cavitation number to 1.3, the vapor volume fraction rises, and the viscosity of the mixed phase reduces, resulting in a reduction in viscous power. When the cavitation number is 0.8, there exists a larger region in which an absolute value of minimum pressure coefficient is less than the cavitation number, a smaller blade load is present, and the pressure difference power is substantially decreased. Because of the huge inverse pressure gradient created by cavitation, the negative pressure difference power is generated, resulting in a decline of the blade power coefficient to 14%, when the cavitation number is 0.5.

Verified
Journal Article
Open access
PDF file
XFXiangheng Feng
Xiangheng Feng
YLYonggang Lin
Yonggang Lin
GZGuohao Zhang
Guohao Zhang
DLDanyang LI
Danyang LI
Hongwei LiuHongwei Liu
Hongwei Liu
BWBin Wang
Bin Wang
Platform motions induced by waves pose a challenge to accurately predict the aerodynamic performance of floating offshore wind turbines (FOWTs). In view of this, the power performance and wake structure of FOWTs under platform pitch, surge, and their combined motions were investigated in this paper, using the computational fluid dynamics software, STAR-CCM+, with overset meshing and rigid body motion techniques. First, the simulation cases in single and same-phase combined motions with different amplitudes and frequencies were performed. Afterward, the approach of calculating the phase difference between pitch and surge motions was proposed to investigate the influence of the combined motion with phase difference on the aerodynamic performance. Results show that the increment of amplitude and frequency augments the mean power output and aggravates the power fluctuation in single and same-phase combined motions. The intensity of power variation under combined motion with a phase difference is weakened at 0.1 Hz compared to the single motion, while enhanced at 0.2 Hz, showing a different influence law on the aerodynamic performance. In addition, this paper established the power fluctuation table based on real sea states of Shidao in China, providing a certain reference for the controller design in this sea area.