Numercical Simulation of the Distribution of Wind Energy Resources in Guangdong Province
Ting Wang
Abstract
Ting Wang
Abstract
Numerical simulation with high spatial resolution for the wind energy resources distributions in Guangdong province is conducted with Wind Energy Resource Assessment System(WERAS). The results show that:the areas rich in wind energy resources are distributed in coastal region and high mountains of northern and western Guangdong,where the annual mean wind speed at 70 m height is above 6.0m/s and the annual mean wind power density is above 300 W/m2 ;the wind energy resources in winter are richer than those in summer; wind energy is mainly produced from large wind process which happens in low frequency. The characteristics of temporal and spatial distribution of wind energy resources in Guangdong revealed by numerical simulation are consistent with local climate characteristics and topographic features,the simulation error of wind speed at 70m height is about 10%,and the simulation error of wind power density at 70 m height is about 30%.
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Numerical simulation with high spatial resolution for the wind energy resources distributions in Guangdong province is conducted with Wind Energy Resource Assessment System(WERAS). The results show that:the areas rich in wind energy resources are distributed in coastal region and high mountains of northern and western Guangdong,where the annual mean wind speed at 70 m height is above 6.0m/s and the annual mean wind power density is above 300 W/m2 ;the wind energy resources in winter are richer than those in summer; wind energy is mainly produced from large wind process which happens in low frequency. The characteristics of temporal and spatial distribution of wind energy resources in Guangdong revealed by numerical simulation are consistent with local climate characteristics and topographic features,the simulation error of wind speed at 70m height is about 10%,and the simulation error of wind power density at 70 m height is about 30%.
Key concepts: Wind power, Wind speed, Meteorology, Environmental science, Spatial distribution, Wind resource assessment, Wind profile power law, Geography