2017
DOI: 10.1155/2017/9643130
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On the Wind Energy Resource and Its Trend in the East China Sea

Abstract: This study utilizes a 30-year (1980-2009) 10 m wind field dataset obtained from the European Center for Medium Range Weather Forecast to investigate the wind energy potential in the East China Sea (ECS) by using Weibull shape and scale parameters. The region generally showed good wind characteristics. The calculated annual mean of the wind power resource revealed the potential of the region for large-scale grid-connected wind turbine applications. Furthermore, the spatiotemporal variations showed strong trend… Show more

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Cited by 7 publications
(2 citation statements)
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“…39 Zhou et al 40 use GIS (Graphic Information System) to argue that the Jiangsu province has an abundance of wind resources that increase gradually from the coast to the land. Osinowo et al 41 study wind potential in the East China Sea using Weibull shape and scale parameter and find the insignificant and negative trends on the East China Sea, ruling out the application of larger turbines in this region. Liu et al, 42 identify the SCS as having ideal conditions for floating offshore wind farms.…”
Section: Offshore Wind Energymentioning
confidence: 99%
“…39 Zhou et al 40 use GIS (Graphic Information System) to argue that the Jiangsu province has an abundance of wind resources that increase gradually from the coast to the land. Osinowo et al 41 study wind potential in the East China Sea using Weibull shape and scale parameter and find the insignificant and negative trends on the East China Sea, ruling out the application of larger turbines in this region. Liu et al, 42 identify the SCS as having ideal conditions for floating offshore wind farms.…”
Section: Offshore Wind Energymentioning
confidence: 99%
“…In the following (Osinowo et al) 2017 estimate the Taiwanese offshore wind power density at 300 W/m 2 . Although the process of energy changes has been increasing inde nitely but in the spring, the trend has been reduced by -0.68 watts per square meter [15].…”
Section: Introductionmentioning
confidence: 99%