Investigation of Wind Power Potential in two selected locations in the South- South Region of Nigeria

2022 ◽  
Vol 22 (1) ◽  
pp. 95
Author(s):  
Davidson Akpootu
Keyword(s):  
Wind Power ◽  
The South

Feasibility of Offshore Wind Power in the South Atlantic Bight

2006 ◽  
Author(s):  
W.S. Bulpitt ◽  
S.W. Stewart ◽  
M.H. Hunt ◽  
S.V. Shelton
Keyword(s):  
Wind Power ◽  
South Atlantic ◽  
Offshore Wind ◽  
South Atlantic Bight ◽  
The South ◽  
Offshore Wind Power

scholarly journals Variability in the South Atlantic Anticyclone and the Atlantic Niño Mode*

2014 ◽  
Vol 27 (21) ◽  
pp. 8135-8150 ◽  
Author(s):  
Joke F. Lübbecke ◽  
Natalie J. Burls ◽  
Chris J. C. Reason ◽  
Michael J. McPhaden
Keyword(s):  
Wind Power ◽  
South Atlantic ◽  
Cold Tongue ◽  
Kelvin Wave ◽  
Equatorial Atlantic ◽  
The South ◽  
Pressure System ◽  
Cold Events ◽  
Meridional Advection ◽  
Sst Anomalies

Abstract Previous studies have argued that the strength of the South Atlantic subtropical high pressure system, referred to as the South Atlantic anticyclone (SAA), modulates sea surface temperature (SST) anomalies in the eastern equatorial Atlantic. Using ocean and atmosphere reanalysis products, it is shown here that the strength of the SAA from February to May impacts the timing of the cold tongue onset and the intensity of its development in the eastern equatorial Atlantic via anomalous tropical wind power. This modulation in the timing and amplitude of seasonal cold tongue development manifests itself via SST anomalies peaking between June and August. The timing and impact of this connection is not completely symmetric for warm and cold events. For cold events, an anomalously strong SAA in February and March leads to positive wind power anomalies from February to June resulting in an early cold tongue onset and subsequent cold SST anomalies in June and July. For warm events, the anomalously weak SAA persists until May, generating negative wind power anomalies that lead to a late cold tongue onset as well as a suppression of the cold tongue development and associated warm SST anomalies. Mechanisms by which SAA-induced wind power variations south of the equator influence eastern equatorial Atlantic SST are discussed, including ocean adjustment via Rossby and Kelvin wave propagation, meridional advection, and local intraseasonal wind variations.

Wind power resource in the south-western region of Algeria

2010 ◽  
Vol 14 (1) ◽  
pp. 554-556 ◽  
Author(s):  
Y. Himri ◽  
S. Himri ◽  
A. Boudghene Stambouli
Keyword(s):  
Wind Power ◽  
Western Region ◽  
The South ◽  
Power Resource

Modeling typhoon wind power spectra near sea surface based on measurements in the South China sea

2012 ◽  
Vol 104-106 ◽  
pp. 565-576 ◽  
Author(s):  
Lixiao Li ◽  
Yiqing Xiao ◽  
Ahsan Kareem ◽  
Lili Song ◽  
Peng Qin
Keyword(s):  
South China Sea ◽  
Wind Power ◽  
South China ◽  
Power Spectra ◽  
The South China Sea ◽  
Sea Surface ◽  
The South ◽  
China Sea ◽  
Typhoon Wind

scholarly journals A simple hourly wind power simulation for the South-West region of Western Australia using MERRA data

2016 ◽  
Vol 96 ◽  
pp. 1003-1014 ◽  
Author(s):  
Dean Laslett ◽  
Chris Creagh ◽  
Philip Jennings
Keyword(s):  
Wind Power ◽  
Western Australia ◽  
The South ◽  
Power Simulation ◽  
West Region ◽  
South West ◽  
South West Region

Seasonal Wind Power Potential for a Resort Island in the South China Sea

2015 ◽  
Vol 793 ◽  
pp. 383-387
Author(s):  
M. Reyasudin Basir Khan ◽  
Jagadeesh Pasupuleti ◽  
Razali Jidin ◽  
Sharifah Azwa Shaaya
Keyword(s):  
South China Sea ◽  
Wind Energy ◽  
Wind Power ◽  
South China ◽  
Diesel Fuel ◽  
The South China Sea ◽  
Northeast Monsoon ◽  
The South ◽  
China Sea ◽  
Market Values

This paper presents a wind energy assessment for a resort island in the South China Sea that has a seasonal climate contributed by the monsoon seasons. The resort island selected for this study is Tioman, as it denotes the typical energy requirements of most resort islands in the South China Sea. The island depends primarily on diesel-fuel for electricity generation. However, diesel is subjected to expensive and unpredictable market values, high operation and maintenance costs, and poses environmental threats. Therefore, the potential for wind energy conversion system development is conducted in order to reduce the island’s diesel fuel dependency. The study starts with energy auditing and meteorological data collection. Subsequently, the wind energy potential is evaluated using Weibull distribution function. The results indicate that the wind speed vary according to seasons, where higher wind power can be generated during the northeast monsoon season than any other seasons.

scholarly journals Wind Energy Potentials and Its Trend in the South China Sea

2016 ◽  
Vol 6 (2) ◽  
pp. 36 ◽  
Author(s):  
Adekunle Ayodotun Osinowo ◽  
Xiaopei Lin ◽  
Dongliang Zhao ◽  
Zhifeng Wang
Keyword(s):  
Wind Speed ◽  
South China Sea ◽  
Wind Power ◽  
Power Density ◽  
South China ◽  
Large Scale ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Wind Potential

Using a 30year (1976-2005) daily high-resolution reanalysis wind field dataset assimilated from several meteorological data sources, the wind speed and power characteristics of the South China Sea (SCS) were investigated using the Weibull shape and scale parameters. The region in general showed good wind characteristics. This is shown by high annual mean wind speed and power density values which are 5.93 m/s and 273.84 W/m2 respectively.  The calculated annual mean wind power resource attributes the region to a relatively high potential site for large- scale grid connected wind turbine applications. The wind power ranged between 96.27 W/m2 in May and 527.03 W/m2 in December. Furthermore, spatio-temporal variations showed that strong trends in wind power exist in Luzon strait in the northern SCS and Xisha, Zhongsha, Luzon, Liyue bank in the central SCS which are evaluated as high wind potential regions and may be rated as locations excellent for installation of large wind turbines for electrical energy generation. Non-significant and negative trends dominate the southern SCS and may therefore, be suitable for small wind applications. The wind power density exhibited a significant increasing trend of 1.4 W/m2 yr-1 in the SCS as a whole throughout the study period. The trend is strongest (2.8 W/m2 yr-1) in winter.

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