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http://dx.doi.org/10.5351/KJAS.2010.23.6.1157

The Establishment of a High Resolution(1Km×1Km) Wind Energy Map Based on a Statistical Wind Field Model  

Kim, Hea-Jung (Department of Statistics, Dongguk University)
Kim, Hyun-Sik (Department of Statistics, Dongguk University)
Choi, Young-Jean (Meteorological Application Research Lab, National Institute of Meteorological Research)
Byon, Jae-Young (Meteorological Application Research Lab, National Institute of Meteorological Research)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.6, 2010 , pp. 1157-1167 More about this Journal
Abstract
This paper details a method for establishing a wind energy map having($1Km{\times}1Km$) resolution. The map is essential for measurement and efficiency-testing of wind energy resources and wind site analysis. To this end, a statistical wind field model is estimated that covers 345,682 regions obtained by $1Km{\times}1Km$ lattices made over South Korea. The paper derives various characteristics of a regional wind energy resource under the statistical wind field model and estimates them to construct the wind energy map. Kolmogorov-Smirnov test, based on TMY(typical meteorological year) wind data of 76 weather station areas, shows that a Log-normal model is adequate for the statistical wind field model. The model is estimated by using the wind speed data of 345,682 regions provided by the National Institute of Meteorological Research(NIMR). Various wind energy statistics are studied under the Log-normal wind field model. As an application, the wind energy density(W$/m^2$) map of South Korea is constructed with a resolution of $1Km{\times}1Km$ and its utility for the wind site analysis is discussed.
Keywords
Statistical wind field model; Wind energy map; $1Km{\times}1Km$ resolution; Log-normal model; TMY wind data; Mean wind energy density;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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