Noise field characterization in the habitat of the East Taiwan Strait Indo-Pacific Humpback Dolphin during the pile driving activity of demonstration offshore wind farm

2016 ◽  
Vol 140 (4) ◽  
pp. 3022-3022 ◽  
Author(s):  
Chi-Fang Chen ◽  
Shane Guan ◽  
Lien-Sian Chou ◽  
Ruey Chang Wei ◽  
William W. Hu ◽  
...  
Keyword(s):  
Wind Farm ◽  
Taiwan Strait ◽  
Offshore Wind ◽  
Pile Driving ◽  
Offshore Wind Farm ◽  
Noise Field

scholarly journals Development of Seismic Demand for Chang-Bin Offshore Wind Farm in Taiwan Strait

Energies ◽  
2016 ◽  
Vol 9 (12) ◽  
pp. 1036 ◽  
Author(s):  
Yu-Kai Wang ◽  
Juin-Fu Chai ◽  
Yu-Wen Chang ◽  
Ti-Ying Huang ◽  
Yu-Shu Kuo
Keyword(s):  
Wind Farm ◽  
Taiwan Strait ◽  
Offshore Wind ◽  
Seismic Demand ◽  
Offshore Wind Farm

scholarly journals Framework for assessing impacts of pile-driving noise from offshore wind farm construction on a harbour seal population

2013 ◽  
Vol 43 ◽  
pp. 73-85 ◽  
Author(s):  
Paul M. Thompson ◽  
Gordon D. Hastie ◽  
Jeremy Nedwell ◽  
Richard Barham ◽  
Kate L. Brookes ◽  
...  
Keyword(s):  
Wind Farm ◽  
Harbour Seal ◽  
Offshore Wind ◽  
Pile Driving ◽  
Offshore Wind Farm ◽  
Seal Population

Noise reduction of pile driving and unexploded ordinance detonations at offshore wind farm installation sites

2017 ◽  
Vol 141 (5) ◽  
pp. 3847-3847
Author(s):  
Mark S. Wochner ◽  
Kevin M. Lee ◽  
Andrew R. McNeese ◽  
Preston S. Wilson
Keyword(s):  
Noise Reduction ◽  
Wind Farm ◽  
Offshore Wind ◽  
Pile Driving ◽  
Offshore Wind Farm ◽  
Unexploded Ordinance

Monitoring the acoustic effects of pile driving for the first offshore wind farm in the United States

2016 ◽  
Vol 139 (4) ◽  
pp. 2181-2181 ◽  
Author(s):  
Arthur E. Newhall ◽  
Ying T. Lin ◽  
James F. Miller ◽  
Gopu R. Potty ◽  
Kathy Vigness-Raposa ◽  
...  
Keyword(s):  
United States ◽  
Wind Farm ◽  
The United States ◽  
Offshore Wind ◽  
Pile Driving ◽  
Offshore Wind Farm

Underwater Noise Simulation of Impact Pile Driving for Offshore Wind Farm in Taiwan

2020 ◽  
Vol 28 (01) ◽  
pp. 1950009
Author(s):  
Yin-Ying Fang ◽  
Ping-Jung Sung ◽  
Wei-Chun Hu ◽  
Chi-Fang Chen
Keyword(s):  
Linear Regression ◽  
Acoustic Waves ◽  
Noise Level ◽  
Wind Farm ◽  
Offshore Wind ◽  
Pile Driving ◽  
Radial Deformation ◽  
Exposure Level ◽  
Fe Model ◽  
Offshore Wind Farm

The radiated acoustic waves from impact pile driving produce high noise level into the water which may cause damage to marine mammals living close to the offshore construction location. In this paper, a linear, axisymmetric finite element (FE) model is applied to predict pile driving noise in the water. Measurement from bottom-mounted hydrophone deployed at a site 230 m from the source is used to validate the model results. The comparisons between model results and measurement, such as structure modal analysis, sound exposure level at different pile penetration and unweighted one-third octave band level, are presented and show useful predictions of noise level from the model. Furthermore, a time domain case is demonstrated to show Mach wave associated with the radial deformation of the pile and supersonic speed. Finally, analysis of variance (ANOVA) and linear regression are made after verifying the model prediction. The ANOVA results identifies some significant parameters on pile driving noise and the empirical equation from linear regression represents the noise level from pile driving impact at close range. These are possible metrics on offshore wind farm environment assessment in Taiwan.

scholarly journals Effects of pile-driving on harbour porpoises ( Phocoena phocoena ) at the first offshore wind farm in Germany

2013 ◽  
Vol 8 (2) ◽  
pp. 025002 ◽  
Author(s):  
Michael Dähne ◽  
Anita Gilles ◽  
Klaus Lucke ◽  
Verena Peschko ◽  
Sven Adler ◽  
...  
Keyword(s):  
Wind Farm ◽  
Offshore Wind ◽  
Pile Driving ◽  
Phocoena Phocoena ◽  
Offshore Wind Farm

scholarly journals Responses of harbour porpoises to pile driving at the Horns Rev II offshore wind farm in the Danish North Sea

2011 ◽  
Vol 421 ◽  
pp. 205-216 ◽  
Author(s):  
MJ Brandt ◽  
A Diederichs ◽  
K Betke ◽  
G Nehls
Keyword(s):  
North Sea ◽  
Wind Farm ◽  
Offshore Wind ◽  
Pile Driving ◽  
Offshore Wind Farm

Seismic prediction of soil distribution for the Chang-Bin offshore wind farm in the Taiwan Strait

2020 ◽  
Vol 8 (4) ◽  
pp. T727-T737
Author(s):  
Wei-Chung Han ◽  
Yi-Wei Lu ◽  
Sheng-Chung Lo
Keyword(s):  
Neural Network ◽  
Wind Farm ◽  
Taiwan Strait ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Seismic Profiles ◽  
Borehole Data ◽  
The Taiwan Strait ◽  
Soil Distribution

Direct soil measurements are limited to borehole locations and are therefore sparse in the oceans. To effectively characterize the soil distributions for the Chang-Bin offshore wind farm, which is an area with the greatest wind energy potential in the Taiwan Strait, we have developed a workflow to predict the soil distribution in the subsurface based on integrated analysis of seismic data and borehole data. First, we characterize the key seismic units and their seismic response in order to understand the regional stratigraphy. Then, we correlate the soil types to each stratigraphic unit as the constraint for the input and quality control to train a neural network based on seismic multiattribute analysis. Finally, we develop a neural network that is suitable for soil prediction in the Chang-Bin offshore wind farm. Five seismic units identified from the seismic profiles reveal that the regional stratigraphy has been greatly affected by sea-level change and the sediment transportation process. Confirmed by independent in situ borehole data, the neural network is considered reliable up to 60 m below the seafloor, whereas decreased signal-to-noise ratios at greater depths lead to poorer prediction accuracy. Compared to previous studies that mainly are based on high-quality 3D seismic and well logging data, our method can predict the soil distribution by analyzing 2D seismic profiles and simplified soil layers alone. The prediction results reveal detailed lithologic variations that are tested by in situ borehole measurements. Therefore, we are confident that this approach could effectively obtain the soil distribution prediction and thus reduce the costs in offshore engineering applications.

Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm

2019 ◽  
Vol 139 (4) ◽  
pp. 259-268
Author(s):  
Effat Jahan ◽  
Md. Rifat Hazari ◽  
Mohammad Abdul Mannan ◽  
Atsushi Umemura ◽  
Rion Takahashi ◽  
...  
Keyword(s):  
Power System ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Hybrid Power System ◽  
Hybrid Power ◽  
Frequency Fluctuations
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