scholarly journals Potential of Offshore Wind Energy and Extreme Wind Speed Forecasting on the West Coast of Taiwan

Energies ◽  
2015 ◽  
Vol 8 (3) ◽  
pp. 1685-1700 ◽  
Author(s):  
Pei-Chi Chang ◽  
Ray-Yeng Yang ◽  
Chi-Ming Lai
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
West Coast ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
The West ◽  
Wind Speed Forecasting ◽  
Extreme Wind ◽  
Extreme Wind Speed

scholarly journals Evaluating the potential of offshore wind energy in the Gulf of Oman using the MENA-CORDEX wind speed data simulations

2021 ◽  
Vol 15 (1) ◽  
pp. 613-626
Author(s):  
Shahab S. Band ◽  
Sayed M. Bateni ◽  
Mansour Almazroui ◽  
Shahin Sajjadi ◽  
Kwok-wing Chau ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Gulf Of Oman ◽  
Wind Speed Data

scholarly journals Offshore Wind Energy Resource Atlas of Asturias (N Spain)

Proceedings ◽  
2018 ◽  
Vol 2 (23) ◽  
pp. 1416
Author(s):  
Mario López ◽  
Noel Rodríguez-Fuertes ◽  
Rodrigo Carballo
Keyword(s):  
Wind Speed ◽  
Numerical Model ◽  
Wind Energy ◽  
Energy Resource ◽  
Offshore Wind ◽  
Power Curve ◽  
Offshore Wind Energy ◽  
The North ◽  
North Of Spain ◽  
First Time

This work assesses for the first time the offshore wind energy resource in Asturias, a region in the North of Spain. Numerical model and observational databases are used to characterize the gross wind energy resource at different points throughout the area of study. The production of several wind turbines is then forecasted on the basis of each technology power curve and the wind speed distributions. The results are mapped for a better interpretation and discussion.

scholarly journals Using 3DVAR data assimilation to measure offshore wind energy potential at different turbine heights in the West Mediterranean

2017 ◽  
Vol 208 ◽  
pp. 1232-1245 ◽  
Author(s):  
Alain Ulazia ◽  
Jon Sáenz ◽  
Gabriel Ibarra-Berastegui ◽  
Santos J. González-Rojí ◽  
Sheila Carreno-Madinabeitia
Keyword(s):  
Data Assimilation ◽  
Wind Energy ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Energy Potential ◽  
The West ◽  
Wind Energy Potential

scholarly journals Extreme wind shear events in US offshore wind energy areas and the role of induced stratification

2021 ◽  
Vol 6 (4) ◽  
pp. 1043-1059
Author(s):  
Mithu Debnath ◽  
Paula Doubrawa ◽  
Mike Optis ◽  
Patrick Hawbecker ◽  
Nicola Bodini
Keyword(s):  
Wind Speed ◽  
Wind Energy ◽  
Wind Shear ◽  
New York State ◽  
Vertical Gradient ◽  
Detection Algorithm ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
High Wind ◽  
Independent Events

Abstract. As the offshore wind industry emerges on the US East Coast, a comprehensive understanding of the wind resource – particularly extreme events – is vital to the industry's success. Such understanding has been hindered by a lack of publicly available wind profile observations in offshore wind energy areas. However, the New York State Energy Research and Development Authority recently funded the deployment of two floating lidars within two current lease areas off the coast of New Jersey. These floating lidars provide publicly available wind speed data from 20 to 200 m height with a 20 m vertical resolution. In this study, we leverage a year of these lidar data to quantify and characterize the frequent occurrence of high-wind-shear and low-level-jet events, both of which will have a considerable impact on turbine operation. In designing a detection algorithm for these events, we find that the typical, non-dimensional power-law-based wind shear exponent is insufficient to identify many of these extreme, high-wind-speed events. Rather, we find that the simple vertical gradient of wind speed better captures the events. Based on this detection method, we find that almost 100 independent events occur throughout the year with mean wind speed at 100 m height and wind speed gradient of 16 m s−1 and 0.05 s−1, respectively. The events have strong seasonal variability, with the highest number of events in summer and the lowest in winter. A detailed analysis reveals that these events are enabled by an induced stable stratification when warmer air from the south flows over the colder mid-Atlantic waters, leading to a positive air–sea temperature difference.

Creating an Offshore Floating Wind Energy Industry in California

2018 ◽  
Author(s):  
Antoine Peiffer ◽  
Kevin Banister ◽  
Dominique Roddier
Keyword(s):  
Wind Energy ◽  
West Coast ◽  
Offshore Wind ◽  
Energy Industry ◽  
Value Proposition ◽  
The West ◽  
Humboldt County ◽  
The Us ◽  
New Industry ◽  
Offshore Wind Industry

The state of California stands at a crossroads where many different enablers are now coming together to spur its leadership in a new offshore wind energy industry off the west coast of the US. This paper presents the rationale for this new industry to be built from the ground up and elaborates on the development efforts recently undertaken by Principle Power Inc. (PPI) to jumpstart this important opportunity. The paper will first focus on the unique value proposition offshore wind offers to the Golden State and discuss the path the company has taken to accelerate the development of the offshore wind industry along the coast, with the proposition of a flagship project in Humboldt County.

scholarly journals Optimal Design of Rated Wind Speed and Rotor Radius to Minimizing the Cost of Energy for Offshore Wind Turbines

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2728 ◽  
Author(s):  
Longfu Luo ◽  
Xiaofeng Zhang ◽  
Dongran Song ◽  
Weiyi Tang ◽  
Jian Yang ◽  
...  
Keyword(s):  
Wind Speed ◽  
Optimal Design ◽  
Wind Energy ◽  
Wind Turbines ◽  
Offshore Wind ◽  
Design Parameters ◽  
Offshore Wind Energy ◽  
Offshore Wind Turbines ◽  
Cost Of Energy ◽  
The Cost

As onshore wind energy has depleted, the utilization of offshore wind energy has gradually played an important role in globally meeting growing green energy demands. However, the cost of energy (COE) for offshore wind energy is very high compared to the onshore one. To minimize the COE, implementing optimal design of offshore turbines is an effective way, but the relevant studies are lacking. This study proposes a method to minimize the COE of offshore wind turbines, in which two design parameters, including the rated wind speed and rotor radius are optimally designed. Through this study, the relation among the COE and the two design parameters is explored. To this end, based on the power-coefficient power curve model, the annual energy production (AEP) model is designed as a function of the rated wind speed and the Weibull distribution parameters. On the other hand, the detailed cost model of offshore turbines developed by the National Renewable Energy Laboratory is formulated as a function of the rated wind speed and the rotor radius. Then, the COE is formulated as the ratio of the total cost and the AEP. Following that, an iterative method is proposed to search the minimal COE which corresponds to the optimal rated wind speed and rotor radius. Finally, the proposed method has been applied to the wind classes of USA, and some useful findings have been obtained.

scholarly journals Extreme Wind Shear Events in US Offshore Wind Energy Areas and the Role of Induced Stratification

2020 ◽  
Author(s):  
Mithu Debnath ◽  
Paula Doubrawa ◽  
Mike Optis ◽  
Patrick Hawbecker ◽  
Nicola Bodini
Keyword(s):  
New York ◽  
Wind Speed ◽  
Wind Energy ◽  
Wind Shear ◽  
New York State ◽  
Stable Stratification ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Sea Temperature ◽  
Independent Events

Abstract. As the offshore wind industry emerges on the U.S. East Coast, a comprehensive understanding of the wind resource – particularly extreme events – is vital to the industry's success. Such understanding has been hindered by a lack of publicly available wind profile observations in offshore wind energy areas. However, the New York State Energy Research and Development Authority (NYSERDA) recently funded the deployment of two floating lidars within two current lease areas off the coast of New Jersey. These floating lidars provide publicly available wind speed data from 20 m to 200 m height with 20-m vertical resolution. In this study, we leverage a year of these lidar data to quantify and characterize the frequent occurrence of high wind shear and low-level jet events, both of which will have considerable impact on turbine operation. We find that almost 100 independent events occur throughout the year with mean wind speed at 100 m height and power-law exponent of 16 m/s and 0.28, respectively. The events have strong seasonal variability, with the highest number of events in summer and the lowest in winter. A detailed analysis reveals that these events are enabled by an induced stable stratification when when warmer air from the south flows over the colder mid-Atlantic waters, leading to a positive air–sea temperature difference.

scholarly journals Wind Characteristics of Three Meteorological Stations in China

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yang Yang ◽  
Yao Gang ◽  
Wang Rong ◽  
Wang Hengyu
Keyword(s):  
Economic Development ◽  
Wind Speed ◽  
Wind Energy ◽  
Turbulence Intensity ◽  
Wind Shear ◽  
Wind Farm ◽  
Wind Generation ◽  
Extreme Wind ◽  
Wind Characteristics ◽  
Extreme Wind Speed

With rapid economic development of China, demand for energy is growing rapidly. Many experts have begun to pay attention on exploiting wind energy. Wind characteristics of three meteorological stations in China were analyzed to find out if or not it is possible to build a wind farm in this paper. First of all, studies about the wind characteristics and potential wind energy were summarized. Then ways of collecting and manipulating wind data were introduced. Wind-generation potential was assessed by the method of Weibull distribution. Wind shear exponent, extreme wind speed in 50 years, and turbulence intensity were calculated. The wind characteristics were summarized and assessment of wind-generation potential was given. At last, the wind was simulated with autoregressive method by Matlab software.

scholarly journals Assessing offshore wind power resources in British Columbia

2020 ◽  
Author(s):  
◽  
Talaat Bakri
Keyword(s):  
Power Generation ◽  
British Columbia ◽  
Wind Speed ◽  
Wind Power ◽  
Offshore Wind ◽  
Wind Fields ◽  
Wind Variability ◽  
Extreme Wind ◽  
Extreme Wind Speed

Wind resources are investigated and estimated offshore of the northern and central coasts of British Columbia, Canada. Remote sensing-based wind speed observations from a Synthetic Aperture Radar (SAR) mounted on the Canadian RADARSAT-2 satellite are used for mapping offshore winds. In addition, in-situ wind speed observations extracted from several buoys distributed in the study region are used to analyze the temporal and spatial wind speed variations in relation to wind power generation. Sustained winds above several wind turbine thresholds are analyzed and values of 50-yr and 100-yr return extreme wind speed levels are calculated. The wind variability analysis suggests few interruptions to power generation by either very low wind speeds or extreme wind speed events with high spatial variability between offshore areas and sites located within the coastal mountains. The SAR wind speed fields are characterized by a high spatial resolution but cover a period of less than 2.5 years with a random temporal availability. The SAR fields are extrapolated to reanalysis long-term wind fields that are available over a climatological time period with a sub-daily temporal resolution but a coarse spatial resolution. The extrapolation procedure is developed by applying a statistical downscaling model and a bias-based correction method. Wind fields from both methods are validated against the in-situ observations from buoys. The extrapolated wind fields are used for mapping offshore winds by creating a robust wind climatology that represents the mesoscale wind variance as well as the diurnal wind variability. This wind climatology is used to calculate the wind statistics and power density, in addition to estimate offshore wind resources. Viable areas for wind power development are defined by using high resolution bathymetric data and considering the general environmental and ecological constraints in the region. The estimated offshore wind resource energy using only theiv determined viable areas is found to resemble a large portion of the current total power generation in British Columbia. Most suitable areas for offshore wind farms are determined by developing criteria based on a combination of the turbine tower technology, water depth zoning and power density values.

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