scholarly journals Lightweight steel tidal power barrages with minimal environmental impact: application to the Severn Barrage

2018 ◽  
Vol 474 (2209) ◽  
pp. 20170653 ◽  
Author(s):  
R. C. T. Rainey
Keyword(s):  
Environmental Impact ◽  
Wind Farm ◽  
Average Power ◽  
Offshore Wind ◽  
Tidal Range ◽  
Tidal Power ◽  
Annual Average ◽  
Kaplan Turbine ◽  
Combined Operations ◽  
Minimal Environmental Impact

For tidal power barrages, a breast-shot water wheel, with a hydraulic transmission, has significant advantages over a conventional Kaplan turbine. It is better suited to combined operations with pumping that maintain the tidal range upstream of the barrage (important in reducing the environmental impact), and is much less harmful to fish. It also does not require tapered entry and exit ducts, making the barrage much smaller and lighter, so that it can conveniently be built in steel. For the case of the Severn Estuary, UK, it is shown that a barrage at Porlock would generate an annual average power of 4 GW (i.e. 35 TWh yr −1 ), maintain the existing tidal ranges upstream of it and reduce the tidal ranges downstream of it by only about 10%. The weight of steel required, in relation to the annual average power generated, compares very favourably with a recent offshore wind farm.

Underwater Object Recognition for Offshore Wind Farm Environmental Impact Assessment

2021 ◽  
Author(s):  
Chun-Chih Lo ◽  
Yi-Ray Tseng ◽  
Chien-Chou Shih ◽  
Shu-Wei Guo ◽  
Chin-Shiuh Shieh ◽  
...  
Keyword(s):  
Object Recognition ◽  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Underwater Object

scholarly journals Optimization of a Grid-Connected Microgrid Using Tidal and Wind Energy in Cook Strait

Fluids ◽  
2021 ◽  
Vol 6 (12) ◽  
pp. 426
Author(s):  
Navid Majdi Nasab ◽  
Md Rabiul Islam ◽  
Kashem Muttaqi ◽  
Danny Sutanto
Keyword(s):  
New Zealand ◽  
Electricity Generation ◽  
Wind Farm ◽  
Fossil Fuels ◽  
Offshore Wind ◽  
Tidal Power ◽  
Renewable Sources ◽  
Tidal Turbines ◽  
Cook Strait ◽  
Strong Winds

The Cook Strait in New Zealand is an ideal location for wind and tidal renewable sources of energy due to its strong winds and tidal currents. The integration of both technologies can help to avoid the detrimental effects of fossil fuels and to reduce the cost of electricity. Although tidal renewable sources have not been used for electricity generation in New Zealand, a recent investigation, using the MetOcean model, has identified Terawhiti in Cook Strait as a superior location for generating tidal power. This paper investigates three different configurations of wind, tidal, and wind plus tidal sources to evaluate tidal potential. Several simulations have been conducted to design a DC-linked microgrid for electricity generation in Cook Strait using HOMER Pro, RETScreen, and WRPLOT software. The results show that Terawhiti, in Cook Strait, is suitable for an offshore wind farm to supply electricity to the grid, considering the higher renewable fraction and the lower net present cost in comparison with those using only tidal turbines or using both wind and tidal turbines.

scholarly journals Preface: the WinMon.BE 2013 conference: steps towards an efficient and effective offshore wind farm environmental impact assessment

Hydrobiologia ◽  
2015 ◽  
Vol 756 (1) ◽  
pp. 1-2
Author(s):  
Steven Degraer ◽  
Jennifer Dannheim ◽  
Andrew B. Gill ◽  
Han Lindeboom ◽  
Dan Wilhelmsson
Keyword(s):  
Environmental Impact ◽  
Impact Assessment ◽  
Environmental Impact Assessment ◽  
Wind Farm ◽  
Offshore Wind ◽  
Offshore Wind Farm

Engineering and Regulatory Challenges Facing the Development of Commercially Viable Offshore Wind Projects

2008 ◽  
Vol 42 (2) ◽  
pp. 44-50 ◽  
Author(s):  
Mark Rodgers ◽  
Craig Olmsted
Keyword(s):  
Environmental Impact ◽  
Wind Farm ◽  
Selection Process ◽  
Offshore Wind ◽  
Federal State ◽  
Army Corps ◽  
Environmental Impact Statement ◽  
Management Service ◽  
State And Local ◽  
Regulatory Challenges

Cape Wind is a proposal to locate America's first offshore wind farm off the coast of Massachusetts to generate renewable energy. First proposed in 2001, Cape Wind has faced numerous engineering and regulatory challenges. Great care was taken in the site selection process to ensure a technically and economically viable project that would generate wind energy on a utility scale. The regulatory environment and permitting process for Cape Wind has always been extensive and comprehensive, comprised of federal, state and local agencies. As a result of the Energy Policy Act of 2005, the lead federal permitting agency changed from the U.S. Army Corps of Engineers (ACOE) to the Minerals Management Service (MMS), which resulted in a significant delay in the permitting schedule. Throughout the Environmental Impact Statement process with the ACOE and the MMS, numerous engineering and scientific studies have been performed on a wide host of environmental and economic issues. MMS issued a Draft Environmental Impact Statement in January, 2008. MMS officials have stated they expect to issue the Final Environmental Impact Statement in fall, 2008 and to issue a Record of Decision on Cape Wind thirty days later.

scholarly journals Global offshore wind turbine dataset

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ting Zhang ◽  
Bo Tian ◽  
Dhritiraj Sengupta ◽  
Lei Zhang ◽  
Yali Si
Keyword(s):  
Environmental Impact ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Wind Farm ◽  
Wind Farms ◽  
Google Earth ◽  
Green Energy ◽  
Offshore Wind ◽  
Validation Dataset ◽  
Offshore Wind Turbine

AbstractOffshore wind farms are widely adopted by coastal countries to obtain clean and green energy; their environmental impact has gained an increasing amount of attention. Although offshore wind farm datasets are commercially available via energy industries, records of the exact spatial distribution of individual wind turbines and their construction trajectories are rather incomplete, especially at the global level. Here, we construct a global remote sensing-based offshore wind turbine (OWT) database derived from Sentinel-1 synthetic aperture radar (SAR) time-series images from 2015 to 2019. We developed a percentile-based yearly SAR image collection reduction and autoadaptive threshold algorithm in the Google Earth Engine platform to identify the spatiotemporal distribution of global OWTs. By 2019, 6,924 wind turbines were constructed in 14 coastal nations. An algorithm performance analysis and validation were performed, and the extraction accuracies exceeded 99% using an independent validation dataset. This dataset could further our understanding of the environmental impact of OWTs and support effective marine spatial planning for sustainable development.

scholarly journals An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects

2017 ◽  
Vol 2 (2) ◽  
pp. 477-490 ◽  
Author(s):  
Niko Mittelmeier ◽  
Julian Allin ◽  
Tomas Blodau ◽  
Davide Trabucchi ◽  
Gerald Steinfeld ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Wind Farm ◽  
Average Power ◽  
Atmospheric Stability ◽  
Wind Farms ◽  
Offshore Wind ◽  
Offshore Wind Farm ◽  
Offshore Wind Farms ◽  
Partial Load ◽  
Wake Effects

Abstract. For offshore wind farms, wake effects are among the largest sources of losses in energy production. At the same time, wake modelling is still associated with very high uncertainties. Therefore current research focusses on improving wake model predictions. It is known that atmospheric conditions, especially atmospheric stability, crucially influence the magnitude of those wake effects. The classification of atmospheric stability is usually based on measurements from met masts, buoys or lidar (light detection and ranging). In offshore conditions these measurements are expensive and scarce. However, every wind farm permanently produces SCADA (supervisory control and data acquisition) measurements. The objective of this study is to establish a classification for the magnitude of wake effects based on SCADA data. This delivers a basis to fit engineering wake models better to the ambient conditions in an offshore wind farm. The method is established with data from two offshore wind farms which each have a met mast nearby. A correlation is established between the stability classification from the met mast and signals within the SCADA data from the wind farm. The significance of these new signals on power production is demonstrated with data from two wind farms with met mast and long-range lidar measurements. Additionally, the method is validated with data from another wind farm without a met mast. The proposed signal consists of a good correlation between the standard deviation of active power divided by the average power of wind turbines in free flow with the ambient turbulence intensity (TI) when the wind turbines were operating in partial load. It allows us to distinguish between conditions with different magnitudes of wake effects. The proposed signal is very sensitive to increased turbulence induced by neighbouring turbines and wind farms, even at a distance of more than 38 rotor diameters.

scholarly journals An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects

2017 ◽  
Author(s):  
Niko Mittelmeier ◽  
Julian Allin ◽  
Tomas Blodau ◽  
Davide Trabucchi ◽  
Gerald Steinfeld ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Turbulence Intensity ◽  
Wind Farm ◽  
Average Power ◽  
Wind Farms ◽  
Offshore Wind ◽  
Ambient Conditions ◽  
Partial Load ◽  
Wake Effects ◽  
Stability Classification

Abstract. Atmospheric conditions have a clear influence on wake effects. Stability classification is usually based on wind speed, turbulence intensity, shear and temperature gradients measured partly at met masts, buoys or LiDARs. The objective of this paper is to find a classification for stability based on wind turbine Supervisory Control and Data Acquisition (SCADA) measurements in order to fit engineering wake models better to the current ambient conditions. Two offshore wind farms with met masts have been used to establish a correlation between met mast stability classification and new aggregated artificial signals. The significance of these new signals on power production is demonstrated for two wind farms with met masts and measurements from a long range LiDAR and validated against data from one further wind farm without a met mast. We found a good correlation between the standard deviation of active power divided by the average power of wind turbines in free flow with the ambient turbulence intensity when the wind turbines were operating in partial load. The proposed signal is very sensitive to increased turbulence due to neighbouring turbines and wind farms even at a distance of more than 38 rotor diameters away. It allows to distinguish between conditions with different magnitude of wake effects.

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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