scholarly journals A three-dimensional underwater sound propagation model for offshore wind farm noise prediction

2019 ◽  
Vol 145 (5) ◽  
pp. EL335-EL340 ◽  
Author(s):  
Ying-Tsong Lin ◽  
Arthur E. Newhall ◽  
James H. Miller ◽  
Gopu R. Potty ◽  
Kathleen J. Vigness-Raposa
Author(s):  
K. T. Chang ◽  
D.-S. Jeng

Donghai offshore wind farm, the first and largest commercial operating offshore wind energy system in China, adopted a novel foundation–high-rising structure foundation. In this paper, a three-dimensional porous model, based on Reynolds-Averaged Navier-Stokes equations and Biot’s poro-elastic theory, was developed by integrating 3D wave and seabed models to simulate wave-induced seabed response around the high-rising structure foundation. Then, a parametric study for the wave and seabed characteristics on the foundation stability was conducted. The numerical results concluded from the numerical analysis were as follows: (i) the existence of structure had a significant effect on the wave transformations and the distributions of wave-induced pore pressures; (ii) the magnitude of wave-induced pore pressure increased as wave height or wave period increased; (iii) the dissipation rate of pore pressure increased as the degree of saturation decreased.


2017 ◽  
Vol 141 (5) ◽  
pp. 3993-3993 ◽  
Author(s):  
Ying-Tsong Lin ◽  
Arthur Newhall ◽  
Gopu R. Potty ◽  
James H Miller

2014 ◽  
Vol 135 (2) ◽  
pp. 599-609 ◽  
Author(s):  
T. Van Renterghem ◽  
D. Botteldooren ◽  
L. Dekoninck

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8313
Author(s):  
Xin Liu ◽  
Lailong Li ◽  
Shaoping Shi ◽  
Xinming Chen ◽  
Songhua Wu ◽  
...  

Huaneng Rudong 300 MW offshore wind farm project is located in eastern China. The wake effect is one of the major concerns for wind farm operators, as all 70 units are plotted in ranks, and the sea surface roughness is low. This paper investigated the wake intensity by combining a field test and a numerical simulation. To carry out further yaw optimization, a Gaussian wake model was adopted. Firstly, a 3D Light Detection and Ranging device (LiDAR) was used to capture the features in both horizontal and vertical directions of the wake. It indicated that Gaussian wake model can precisely predict the characteristics under time average and steady state in the wind farm. The predicted annual energy production (AEP) of the whole wind farm by the Gaussian model is compared with the calculation result of the actuator line (AL)-based LES method, and the difference between the two methods is mostly under 10%.


2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  

2019 ◽  
Vol 2019 (17) ◽  
pp. 3848-3854
Author(s):  
Samir Milad Alagab ◽  
Sarath Tennakoon ◽  
Chris Gould

2021 ◽  
pp. 107532
Author(s):  
Muhammet Deveci ◽  
Ender Özcan ◽  
Robert John ◽  
Dragan Pamucar ◽  
Himmet Karaman

2021 ◽  
Vol 1754 (1) ◽  
pp. 012153
Author(s):  
YAN Quanchun ◽  
GU Wen ◽  
LIU Yanan ◽  
LI Chenglong ◽  
WU Tao

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