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http://dx.doi.org/10.7836/kses.2016.36.1.011

Classification of Wind Sector in Pohang Region Using Similarity of Time-Series Wind Vectors  

Kim, Hyun-Goo (New-Renewable Energy Resource Center, Korea Institute of Energy Research)
Kim, Jinsol (Department of Earth and Planetary Science, University of California)
Kang, Yong-Heack (New-Renewable Energy Resource Center, Korea Institute of Energy Research)
Park, Hyeong-Dong (Department of Energy Resources Engineering, Seoul National University)
Publication Information
Journal of the Korean Solar Energy Society / v.36, no.1, 2016 , pp. 11-18 More about this Journal
Abstract
The local wind systems in the Pohang region were categorized into wind sectors. Still, thorough knowledge of wind resource assessment, wind environment analysis, and atmospheric environmental impact assessment was required since the region has outstanding wind resources, it is located on the path of typhoon, and it has large-scale atmospheric pollution sources. To overcome the resolution limitation of meteorological dataset and problems of categorization criteria of the preceding studies, the high-resolution wind resource map of the Korea Institute of Energy Research was used as time-series meteorological data; the 2-step method of determining the clustering coefficient through hierarchical clustering analysis and subsequently categorizing the wind sectors through non-hierarchical K-means clustering analysis was adopted. The similarity of normalized time-series wind vector was proposed as the Euclidean distance. The meteor-statistical characteristics of the mean vector wind distribution and meteorological variables of each wind sector were compared. The comparison confirmed significant differences among wind sectors according to the terrain elevation, mean wind speed, Weibull shape parameter, etc.
Keywords
Wind sector; Wind system; Pohang; Time-series wind vector; Wind resource map; Mean wind vector;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
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