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

시계열 풍속벡터의 유사성을 이용한 포항지역 바람권역 분류

  • 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)
  • 김현구 (한국에너지기술연구원 신재생에너지자원센터) ;
  • 김진솔 (미국 버클리대학교 지구행성과학과) ;
  • 강용혁 (한국에너지기술연구원 신재생에너지자원센터) ;
  • 박형동 (서울대학교 에너지자원공학과)
  • Received : 2015.12.18
  • Accepted : 2016.02.04
  • Published : 2016.02.28

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

References

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