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한반도 풍력 자원 지도의 공간 해상도가 풍력자원 예측 정확도에 미치는 영향에 관한 수치연구

Numerical Study on the Impact of the Spatial Resolution of Wind Map in the Korean Peninsula on the Accuracy of Wind Energy Resources Estimation

  • 이순환 (부산대학교 BK21 연안환경시스템사업단) ;
  • 이화운 (부산대학교 지구환경시스템학부) ;
  • 김동혁 (부산대학교 지구환경시스템학부) ;
  • 김민정 (부산대학교 지구환경시스템학부) ;
  • 김현구 (한국에너지기술연구원)
  • Lee, Soon-Hwan (BK21 CESS, Pusan National University) ;
  • Lee, Hwa-Woon (Division of Earth Environment System, Pusan National University) ;
  • Kim, Dong-Hyuk (Division of Earth Environment System, Pusan National University) ;
  • Kim, Min-Jung (Division of Earth Environment System, Pusan National University) ;
  • Kim, Hyun-Goo (Korea Institute of Energy Research)
  • 발행 : 2009.08.31

초록

In order to make sure the impact of spatial resolution of wind energy map on the estimation of wind power density in the Korean Peninsula, the comparison studies on the characteristics of wind energy map with three different spatial resolutions were carried out. Numerical model used in the establishment of wind map is MM5 (5th generation Mesoscale Model) with RBAPS (Regional Data Assimilation and Prediction System) as initial and boundary data. Analyzed Period are four months (March, August, October, and December), which are representative of four seasons. Since high spatial resolution of wind map make the undulation of topography be clear, wind pattern in high resolution wind map is correspond well with topography pattern and maximum value of wind speed is also increase. Indication of island and mountains in wind energy map depends on the its spatial resolution, so wind patterns in Heuksan island and Jiri mountains are clearly different in high and low resolutions. And area averaged power density can be changed by estimation method of wind speed for unit area in the numerical model and by treatment of air density. Therefore the studiable resolution for the topography should be evaluated and set before the estimation of wind resources in the Korean Peninsula.

키워드

참고문헌

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피인용 문헌

  1. Long-Term Wind Resource Mapping of Korean West-South Offshore for the 2.5 GW Offshore Wind Power Project vol.22, pp.10, 2013, https://doi.org/10.5322/JESI.2013.22.10.1305
  2. Numerical study on the characteristics of TKE in coastal area for offshore wind power vol.23, pp.9, 2014, https://doi.org/10.5322/JESI.2014.23.9.1551
  3. Surface Wind Regionalization Based on Similarity of Time-series Wind Vectors vol.10, pp.2, 2016, https://doi.org/10.5572/ajae.2016.10.2.080